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Jonathan Z. Simon: Publications & Presentations

 

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Jonathan Simon

  1. (or here and here)

  1. •[ScienceDaily Article]

  1. •[WebMD Article]

Spatial and Temporal Modeling of Large-Scale Brainhttp://drum.lib.umd.edu/discover?scope=1903/2276&query=Spatial+and+Temporal+Modeling+of+Large-Scale+Brain+Networks&submit=&filtertype_0=author&filter_0=Najafi,+Mahshid&filter_relational_operator_0=equals

  1. •[MSN Video]

  1. •[Journal Cover Description]

Recent Preprints

  1. or (Legacy PubMed)


Publications

Neuroscience Research

Recent Preprints


  1. •Karunathilake, I. M. D., C. Brodbeck, S. Bhattsali, P, Resnik, and J. Z. Simon (2024) Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing, bioRxiv 2024.02.02.578603. DOI: https://doi.org/10.1101/2024.02.02.578603


  1. •Soleimani, B., I. M. D. Karunathilake, P. Das, S. E. Kuchinsky, B. Babadi and J. Z. Simon (2023) Changes in Cortical Directional Connectivity during Difficult Listening in Younger and Older Adults, bioRxiv 2023.05.19.541500. DOI: https://doi.org/10.1101/2023.05.19.541500


2024

  1. •Johns, M. A., R. C. Calloway, I. M. D. Karunathilake, L. P. Decruy, S. Anderson, P., J. Z. Simon and S. E. Kuchinsky (2024) Attention Mobilization as a Modulator of Listening Effort: Evidence from Pupillometry, Trend Hear 28 [PDF] [Supplementary Material] [PMC]


2023

  1. •Karunathilake, I. M. D., J. P. Kulasingham and J. Z. Simon (2023) Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged, Proc Nat Acad Sci 120(49) e2309166120. [PDF] [Supplementary Information] [PMC]


  1. •Brodbeck, C., P. Das, J. P. Kulasingham, S. Bhattasali, P. Gaston, P. Resnik, and J. Z. Simon (2023) Eelbrain: A Python Toolkit for Time-Continuous Analysis with Temporal Response Functions, eLife 12:85012. [PDF] [PMC]


  1. •Commuri, V., J. P. Kulasingham and J. Z. Simon (2023) Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention, Front.Neurosci 17:1264453. [PDF] [PMC]


  1. •Abeysekara, R., C. J. Smalt, I. M. D. Karunathilake, J. Z. Simon and B. Babadi (2023) Information-Theoretic Limits on the Performance of Auditory Attention Decoders, 2023 57th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, pp. 1479-1483. [PDF]


  1. •Karunathilake, I. M. D., J. L. Dunlap, J. Perera, A. Presacco, L. Decruy, S. Anderson, S. E. Kuchinsky, and J. Z. Simon (2023)  Effects of Aging on Cortical Representations of Continuous Speech, J Neurophysiol 129, 1359-1377.  [PDF] [PMC]


  1. •Soleimani, B., I. Dallasta, P. Das, J. P Kulasingham, S Girgenti, J. Z. Simon, B. Babadi* and E. B. Marsh* (2023) Altered Directional Functional Connectivity Underlies Post-Stroke Cognitive Recovery, Brain Comm 5(3), fcad149 *contributed equally to this work [PDF][PMC]


  1. •Kulasingham, J. P. and J. Z. Simon (2023) Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech, IEEE Trans Biomed Eng 70(1), 88-96. [PDF] [Supplementary Materials] [PMC]


  1. •Du, X., S. M. Hare, A. Summerfelt, B. M. Adhikari, L. Garcia, W. Marshall, P. Zan, M. Kvarta, E. Goldwaser, H. Bruce, S. Gao, H. Sampath, P. Kochunov, J. Z. Simon, and L. E. Hong (2023) Cortical Connectomic Mediations on Gamma Band Synchronization in Schizophrenia, Transl Psychiatry 13, 13. [PDF] [PMC]


2022

  1. •Simon, J. Z., V. Commuri, and J. P. Kulasingham (2022) Time-locked auditory cortical responses in the high-gamma band: A window into primary auditory cortex, Front Neurosci 16:1075369. [PDF] [PMC]


  1. •Soleimani, B., P. Das, P., I. M. D. Karunathilake, S. E. Kuchinsky, J. Z. Simon and B. Babadi (2022) NLGC: Network Localized Granger Causality with Application to MEG Directional Functional Connectivity Analysis, NeuroImage 260 119496. [PDF] [PMC]


  1. •Brodbeck, C. and J. Z. Simon (2022) Cortical Tracking of Voice Pitch in the Presence of Multiple Speakers Depends on Selective Attention, Front Neurosci 16:828546. [PDF] [PMC]


  1. •Kulasingham, J. P., C. Brodbeck, S. Khan, E. B. Marsh*, and J. Z. Simon* (2022) Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients, Front Neurol 13:819603. DOI: https://doi.org/10.3389/fneur.2022.819603 *contributed equally to this work. [PDF][PMC]


  1. •Brodbeck, C., S. Bhattasali, A. Cruz Heredia, P. Resnik, J. Z. Simon and E. Lau (2022) Parallel Processing in Speech Perception: Local and Global Representations of Linguistic Context, eLife 11:e72056. [PDF] [PMC]


2021

  1. •Gillis, M., J. Vanthornhout, J. Z. Simon, T. Francart* and C. Brodbeck* (2021) Neural Markers of Speech Comprehension: Measuring EEG Tracking of Linguistic Speech Representations, Controlling the Speech Acoustics, J Neurosci 41(50) 10316–10329. *contributed equally to this work. [PDF] [PMC]


  1. •Kulasingham, J. P., N. H. Joshi*, M. Rezaeizadeh* and J. Z. Simon (2021) Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task, J Neurosci 41 (38) 8023-8039. *contributed equally to this work. [PDF] [PMC] [Try it Yourself!] [IFLScience] [Medical Xpress] [EurekaAlert]


  1. •Hare, S., B. M. Adhikari, X. Du, L. Garcia, H. Bruce, P. Kochunov, J. Z. Simon, L. E. Hong (2021) Local versus Long-Range Connectivity Patterns of Auditory Disturbance in Schizophrenia, Schizophr Res 228, 262–270. [PDF] [PMC]


2020

  1. •Marsh, E. B., C. Brodbeck, R. H. Llinas, D. Mallick, J. P. Kulasingham, J. Z. Simon and R. R. Llinas (2020) Poststroke Acute Dysexecutive Syndrome, a Disorder Resulting from Minor Stroke due to Disruption of Network Dynamics, Proc Nat Acad Sci 117(52) 33578-33585. [PDF] [Supplementary Information] [Eureka Alert] [Science Daily] [Medical Xpress] [PMC]


  1. •Brodbeck, C., A. Jiao, L. E. Hong and J. Z. Simon (2020) Neural Speech Restoration at the Cocktail Party: Auditory Cortex Recovers Masked Speech of Both Attended and Ignored Speakers, PLOS Biol 18(10): e3000883. [PDF] [PMC]


  1. •Zan, P., A. Presacco, S. Anderson and J. Z. Simon (2020) Exaggerated Cortical Representation of Speech in Older Listeners: Mutual Information Analysis, J Neurophysiol 124, 1152-1164.  [PDF] [PMC]


  1. •Kulasingham, J. P., C. Brodbeck, A. Presacco, S. E. Kuchinsky, S. Anderson and J. Z. Simon (2020) High Gamma Cortical Processing of Continuous Speech in Younger and Older Listeners, NeuroImage 222, 117291. [PDF] [PMC]


  1. •Brodbeck, C. and J. Z. Simon (2020) Continuous Speech Processing, Curr Op Physiol 18:25–31. [PDF] [PMC]


  1. •Miran S., A. Presacco, J. Z. Simon, M. C. Fu, S. I. Marcus and B. Babadi (2020) Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise, PLOS Comput Biol 16(8): e1008172. [PDF] [PMC]


  1. •Soleimani, B., P. Das, P., J. Kulasingham, J. Z. Simon and B. Babadi (2020) Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis, 2020 54th Annual Conference on Information Sciences and Systems.  [PDF]


  1. •Das, P., C. Brodbeck, J. Z. Simon and B. Babadi (2020) Neuro-Current Response Functions: A Unified Approach to MEG Source Analysis under the Continuous Stimuli Paradigm, NeuroImage 211, 116528 [PDF] [Supplementary Videos: 1, 2, 3] [PMC]


2019

  1. •Zan, P., A. Presacco, S. Anderson and J. Z. Simon (2019) Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain, J Neurophysiol 122, 2372–2387.  [PDF] [PMC]


  1. •Presacco, A., S. Miran, B. Babadi and J. Z. Simon (2019) Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4148-4151. [PDF] [PMC] [PAR]


  1. •Miran S., J. Z. Simon, M. C. Fu, S. I. Marcus and B. Babadi (2019) Estimation of State-Space Models with Gaussian Mixture Process Noise, IEEE Data Science Workshop (DSW) 2019, 185-189. [PDF]


  1. •Presacco, A., J. Z. Simon and S. Anderson (2019) Speech-in-Noise Representation in the Aging Midbrain and Cortex: Effects of Hearing Loss, PLoS ONE 14(3): e0213899. [PDF] [PMC]

2018

  1. •Brodbeck, C., L. E. Hong and J. Z. Simon (2018) Rapid Transformation from Auditory to Linguistic Representations of Continuous Speech, Curr Biol 28, 3976–3983. [PDF] [“Great Expectations” Dispatch] [Daily Mail] [Eureka Alert] [Science Daily] [Neuroscience News] [Medical Xpress] [DoveMed] [Earth.com] [cnBeta] [El Médico Interactivo] [Medical Xpress] [PMC]


  1. •Cervantes Constantino, F. and J. Z. Simon (2018) Restoration and Efficiency of the Neural Processing of Continuous Speech are Promoted by Prior Knowledge, Front Sys Neurosci 12:56. doi: 10.3389/fnsys.2018.0005. [PDF] [Supplementary Material] [PMC]


  1. •Das, P., C. Brodbeck, J. Z. Simon and B. Babadi (2018) Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization, Asilomar Conference on Signals, Systems, and Computers, 373-377. [PDF] [PAR]


  1. •Miran, S., S. Akram, A. Sheikhatar, J. Z. Simon, T. Zhang and B. Babadi (2018) Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering, Conf Proc IEEE Eng Med Biol Soc. 2018, 25-28. [PDF] [PAR]


  1. •Brodbeck, C., A. Presacco, S. Anderson and J. Z. Simon (2018) Over-Representation of Speech in Older Adults Originates from Early Response in Higher Order Auditory Cortex, Acta Acust united Ac 104(5), 774-777. [PDF] [PMC]


  1. •Miran, S., S. Akram, A. Sheikhatar, J. Z. Simon, T. Zhang and B. Babadi (2018) Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach, Front Neurosci 12:262. [PDF] [Supplementary Material] [PMC] [PAR]


  1. •Vanthornhout, J., L. Decruy, J. Wouters, J. Z. Simon, and T. Francart (2018) Speech Intelligibility Predicted from Neural Entrainment of the Speech Envelope, J Assoc Res Otolaryngol 19(2) 181-191. [View] [PDF] [PMC]


  1. •Brodbeck, C., A. Presacco and J. Z. Simon (2018) Neural Source Dynamics of Brain Responses to Continuous Stimuli: Speech Processing from Acoustics to Comprehension, NeuroImage 172, 162–174. [PDF] [PMC]


  1. •Puvvada, K. C., A. Summerfelt, X. Du, N. Krishna, P. Kochunov, L. M. Rowland, J. Z. Simon* and L. E. Hong* (2018) Delta Vs Gamma Auditory Steady State Synchrony in Schizophrenia, Schiz Bull 44(2), 378-387 *contributed equally [PDF] [Supplementary Information] [PMC]

2017

  1. •Cervantes Constantino, F. and J. Z. Simon (2017) Dynamic Cortical Representations of Perceptual Filling-In for Missing Acoustic Rhythm, Scientific Reports 7(1), 17536. [PDF] [Supplementary Information] [PMC]


  1. •Puvvada, K. C. and J. Z. Simon (2017) Cortical Representations of Speech in a Multi-talker Auditory Scene, J Neurosci 37(38), 9189-9196. [PDF] [PMC]


  1. •Middlebrooks, J. C., J. Z. Simon, A. N. Popper and R. R. Fay (Eds.) (2017) The Auditory System at the Cocktail Party, in the Springer Handbook of Auditory Research series, Fay, R. R., Popper, A. N. (Series Eds.) (Springer: New York), ISBN: 978-3-319-51660-8.


  1. •Simon, J. Z. (2017) Human Auditory Neuroscience and the Cocktail Party Problem, In The Auditory System at the Cocktail Party, Springer Handbook of Auditory Research 60, Ed.: Middlebrooks, J. C., J. Z. Simon, A. N. Popper and R. R. Fay (Springer: New York) ISBN: 978-3-319-51660-8, 169-197.

  2. •Akram, S., J. Z. Simon and B. Babadi (2017) Dynamic Estimation of the Auditory Temporal Response Function from MEG in Competing-Speaker Environments, IEEE Trans Biomed Eng, 64(8), 1896-1905. [PDF] [Supplementary Files] [PMC]

2016

  1. •Presacco, A., J. Z. Simon and S. Anderson (2016) Effect of Informational Content of Noise on Speech Representation in the Aging Midbrain and Cortex, J Neurophysiol 116, 2356–2367. [PDF] [PMC]

  2. •Presacco, A., J. Z. Simon and S. Anderson (2016) Evidence of Degraded Representation of Speech in Noise, in the Aging Midbrain and Cortex, J Neurophysiol 116, 2346–2355. [PDF] [PMC]
    [BBC Radio 4 Interview] [The Times] [Daily Mail] [Express] [Fast Company] [US News & World Report] [Deutsches Ärzteblatt] [Journal of Neurophysiology Podcast]

  3. •Najafi, M., B. W. McMenamin, J. Z. Simon and L. Pessoa (2016) Overlapping Communities Reveal Rich Structure in Large-Scale Brain Networks During Rest and Task Conditions, NeuroImage 125, 92-106. [PDF] [PMC]


  1. •Ding, N., J. Z. Simon, S. A. Shamma and S. V. David (2016) Encoding of Natural Sounds by Variance of the Cortical Local Field Potential, J Neurophysiol 115, 2389-2398. [PDF] [PMC]

  2. •Senevirathna, B., L. Berman, N. Bertoni, F. Pareschi, M. Mangia, R. Rovatti, G. Setti, J. Simon and P. Abshire (2016) Low Cost Mobile EEG for Characterization of Cortical Auditory Responses, 2016 IEEE International Symposium on Circuits and Systems (ISCAS). p. 1102-1105. [PDF]

  3. •Bertoni, N., B. Senevirathna, F. Pareschi, M. Mangia, R. Rovatti, P. Abshire, J. Z. Simon and G. Setti (2016) Low-power EEG monitor based on Compressed Sensing with Compressed Domain Noise Rejection, 2016 IEEE International Symposium on Circuits and Systems (ISCAS). p. 522-525. [PDF]

  4. •Akram, S., A. Presacco, J. Z. Simon, S. A. Shamma and B. Babadi (2016) Robust Decoding of Selective Auditory Attention from MEG in a Competing-Speaker Environment via State-Space Modeling, NeuroImage 124, 906–917. [PDF] [PMC]

2015

  1. •Chait, M., S. Greenberg, T. Arai, J. Z. Simon and D. Poeppel (2015) Multi-Time Resolution Analysis of Speech: Evidence from Psychophysics, Front Neurosci 9:214. https://doi.org/10.3389/fnins.2015.00214 [PDF] [PMC]

  2. •Simon, J. Z. (2015) The Encoding of Auditory Objects in Auditory Cortex: Insights from Magnetoencephalography, Intl J Psychophysiol 95, 184–190. [PDF] [PMC]

2014

  1. •Akram, S., B. Englitz, M. Elhilali, J. Z. Simon, and S. A. Shamma (2014) Investigating the Neural Correlates of a Streaming Percept in an Informational-Masking Paradigm, PLOS ONE 9(12): e114427. https://doi.org/10.1371/journal.pone.0114427 [PDF] [PMC]


  1. •Akram, S., J. Z. Simon, S. A. Shamma and B. Babadi (2014) A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment, NIPS 2014 Advances in Neural Information Processing Systems 27, 460-468. [PDF]


  1. •Ding, N. and J. Z. Simon (2014) Cortical Entrainment to Continuous Speech: Functional Roles and Interpretations, Front Hum Neurosci 8:311. https://doi.org/10.3389/fnhum.2014.00311 [PDF] [PMC]

  2. •Ding, N., M. Chatterjee and J. Z. Simon (2014) Robust Cortical Entrainment to the Speech Envelope Relies on the Spectro-temporal Fine Structure, NeuroImage 88 41–46. [PDF] [PMC]

2013

  1. •Ding, N. and J. Z. Simon (2013) Robust Cortical Encoding of Slow Temporal Modulations of Speech, in Basic Aspects of Hearing: Physiology and Perception, B. C. J. Moore, R. D. Patterson, I. M. Winter, R. P. Carlyon and H. E. Gockel (Eds.), (Springer Verlag: New York), ISBN: 978-1-4614-1589-3. [PDF]

  2. •Ding, N. and J. Z. Simon (2013) Adaptive Temporal Encoding Leads to a Background Insensitive Cortical Representation of Speech, J Neurosci 33(13), 5728-5735. [PDF] [PMC]

  3. •Ding, N. and J. Z. Simon (2013) Power and Phase Properties of Oscillatory Neural Responses in the Presence of Background Activity, J Comput Neurosci 34(2), 337-43. [PDF] [Erratum] [PMC]


  1. •Elhilali, M., S. Shamma, J. Z. Simon and J. B. Fritz (2013) A Linear Systems View to the Concept of STRFs, in Handbook of Modern Techniques in Auditory Cortex, Depireux, D. A. and M. Elhilali, M. (Eds.), (Nova Science Publishers: New York), ISBN: 978-1-6280-8894-6. [PDF]

  2. •Zion Golumbic, E. M., N. Ding, S. Bickel, P. Lakatos, C. A. Schevon, G. M. McKhann, R. R. Goodman, R. Emerson, A. D. Mehta, J. Z. Simon, D. Poeppel, and C. E. Schroeder (2013) Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a “Cocktail Party”, Neuron, 77(5), 980-991. [PDF] [Supplemental Information] [PMC]
    [“Shaken, Not Stirred” Preview] [NPR interview] [Science Magazine News]

  3. •Xiang J., D. Poeppel, and J. Z. Simon (2013) Physiological evidence for auditory modulation filterbanks: cortical responses to concurrent modulations, JASA Express Letters 133(1), EL7-EL12. [PDF] [PMC]

2012

  1. •Ding, N. and J. Z. Simon (2012) The Emergence of Neural Encoding of Auditory Objects While Listening to Competing Speakers, Proc Nat Acad Sci , 109(29), 11854-11859. [PDF] [PMC]

  2. •Wang, Y.*, N. Ding*, Ahmar N., Xiang J., Poeppel D., and J. Z. Simon (2012) Sensitivity to Temporal Modulation Rate and Spectral Bandwidth in the Human Auditory System: MEG Evidence, J Neurophysiol 107, 2033-2041. *contributed equally [PDF] [PMC]

  3. •Ding, N. and J. Z. Simon (2012) Neural Coding of Continuous Speech in Auditory Cortex during Monaural and Dichotic Listening, J Neurophysiol 107, 78-89. [PDF] [PMC]

  4. •Zhuo, J., S. Xu, J. Proctor, R. J. Mullins, J. Z. Simon, G. Fiskum, and R. P. Gullapalli (2012) Diffusion Kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury, NeuroImage 59(1) 467-477. [PDF] [PMC]

2011

  1. •Jenkins, J., III, A. E. Rhone, W. J. Idsardi, J. Z. Simon, and D. Poeppel (2011) The Elicitation of Audiovisual Steady-State Responses: Multi-Sensory Signal Congruity and Phase Effects, Brain Topogr 24(2) 134-148. [PDF] [PMC]

2010

  1. •Simon J. Z. and N. Ding (2010), Magnetoencephalography and Auditory Neural Representations, In Proc. Southern Biomedical Engineering Conference 2010, IFMBE Proceedings 32, K.E. Herold, W.E. Bentley, and J. Vossoughi (Eds.), 45–48. [PDF]

  2. •Xiang J., J. Z. Simon and M. Elhilali (2010), Competing streams at the cocktail party: Exploring the mechanisms of attention and temporal integration, J Neurosci 30(36) 12084-12093. [PDF] [PMC]

  3. •Chait, M., A. de Cheveigné, D. Poeppel and J. Z. Simon (2010) Neural dynamics of attending and ignoring in human auditory cortex, Neuropsychologia 48(11) 3262-3271. [PDF] [PMC]

  4. •Elhilali, M., J. Xiang, S. A. Shamma and J. Z. Simon (2010) Auditory Streaming at the Cocktail Party: Simultaneous Neural and Behavioral Studies of Auditory Attention, in The Neurophysiological Bases of Auditory Perception, Lopez-Poveda, E. A., Meddis, R., and Palmer A. R. (Eds.), (Springer Verlag: New York), ISBN: 978-1441956859, 545-553. [PDF]

2009

  1. •Ding, N. and J. Z. Simon (2009), Neural representations of complex temporal modulations in the human auditory cortex, J Neurophysiol 102, 2731-2743. [PDF] [PMC]


  2. •Carr, C. E., D. Soares, J. Smolders and J. Z. Simon (2009), Detection of interaural time differences in the alligator, J Neurosci 29, 7948-7956. [PDF] [PMC] [Journal Cover] [Journal Cover Description]
     

  3. •Elhilali, M.*, J. Xiang*, S. A. Shamma and J. Z. Simon (2009), Interaction between attention and bottom-up saliency mediates the representation of foreground and background in an auditory scene, PLoS Biol 7(6), e1000129. *contributed equally [PDF] [PMC]
           

2008

  1. •Chait, M., D. Poeppel and J. Z. Simon (2008), Auditory Temporal Edge Detection in Human Auditory Cortex, Brain Research 1213,78-90.  [PDF] [PMC]

  2. •de Cheveigné, A., and J. Z. Simon (2008) Denoising based on spatial filtering, J Neurosci Methods 171(1), 331-339.
     [PDF] [PMC]

  3. •Aytekin, M., C. F. Moss and J. Z. Simon (2008) A Sensorimotor Approach to Sound Localization, Neural Computation, 20, 603-635.  [PDF]  [Journal Cover]
     

  4. •de Cheveigné, A., and J. Z. Simon (2008) Sensor Noise Suppression, J Neurosci Methods 168(1), 195-202.  [PDF] [PMC]
     

2007

  1. •Luo, H., Y. Wang, D. Poeppel and J. Z. Simon (2007) Concurrent Encoding of Frequency and Amplitude Modulation in Human Auditory Cortex: An Encoding Transition, J Neurophysiology, 98, 3473-3485.  [PDF]
     

  2. •Chait, M., D. Poeppel, and J. Z. Simon (2007) Human Auditory Cortical Processing Of Transitions Between ‘Order’ And ‘Disorder’, in Hearing – From Sensory Processing to Perception, Kollmeier, B., Klump, G., Hohmann, V., Langemann, U., Mauermann, M., Uppenkamp, S., and Verhey, J. (Eds.), (Springer Verlag: New York) 323-331.  [PDF]
     

  3. •de Cheveigné, A., and J. Z. Simon (2007) Denoising Based on Time-Shift PCA, J Neurosci Methods 165(2), 297-305.  [PDF] [PMC]
     

  4. •Chait, M., D. Poeppel and J. Z. Simon (2007) Stimulus Context Affects Auditory Cortical Responses to Changes in Interaural Correlation, J Neurophysiol, 98, 224-231.  [PDF]
     

  5. •de Cheveigné, A., J. Le Roux and J.Z. Simon (2007) MEG Signal Denoising Based On Time-Shift PCA, In Proc. ICASSP 2007 International Conference on Acoustics, Speech, and Signal Processing, Vol. I, 317-320. [PDF]
     

  6. •Chait, M., G. Eden, D. Poeppel, J. Z. Simon, D. F. Hill and D. L. Flowers (2007) Delayed Detection of Tonal Targets in Background Noise in Dyslexia, Brain and Language, 102, 80-90. [PDF]
     

  7. •Chait, M., D. Poeppel, A. de Cheveigné and J. Z. Simon (2007), Processing Asymmetry of Transitions between Order and Disorder in Human Auditory Cortex, J Neurosci, 27, 5207-5214.  [PDF]


  1. •Chait, M. and J. Z. Simon (2007) The dynamics of the Construction of Auditory Perceptual Representations: MEG Brain Imaging in Humans, In Reasoning and Cognition Interdisciplinary Series on Reasoning Studies Vol. 2, ed. D. Andler, Y. Ogawa, M. Okada, and S. Watanabe. (Keio University Press: Tokyo), ISBN: 4-7664-1332-6, 265-280.

  2. •Simon, J. Z., D.A. Depireux, D. J. Klein, J.B. Fritz and S.A. Shamma (2007), Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity, Neural Computation, 19, 583-638.  [PDF]

2006

  1. •Luo, H., Y. Wang, D. Poeppel and J. Z. Simon (2006), Concurrent Encoding of Frequency and Amplitude Modulation in Human Auditory Cortex: MEG Evidence, J Neurophysiol, 96, 2712-2723.  [PDF]

  2. •Klein, D.J., J.Z. Simon, D.A. Depireux, and S.A. Shamma (2006), Stimulus-Invariant Processing and Spectrotemporal Reverse Correlation in Primary Auditory Cortex, J. Comput. Neurosci, 20(2), 111-136.
     [PDF]

  3. •Chait, M., D. Poeppel and J. Z. Simon (2006), Neural Response Correlates of Detection of Monaurally and Binaurally-Created Pitches in Humans, Cerebral Cortex, 16(6), 835-848.  [PDF]  [Journal Cover]

  4. •Chait, M. and J. Z. Simon (2006) The Dynamics of the Construction of Auditory Perceptual Representations: MEG Brain Imaging in Humans, In Reasoning and Cognition Interdisciplinary Series on Reasoning Studies Vol. 2, ed. D. Andler, Y. Ogawa, M. Okada, and S. Watanabe, 265-280. [PDF]

  5. •Carr, C. E., S. Iyer, D. Soares, S. Kalluri and J. Z. Simon (2006), Are Neurons Adapted for Specific Computations? Examples from Temporal Coding in the Auditory System, In 23 Problems in Systems Neuroscience, ed. L. v. Hemmen and T. Sejnowski. Oxford, 245-265. [PDF]
     

2005

  1. •Simon, J. Z. and Y. Wang (2005), Fully Complex Magnetoencephalography, J Neurosci Methods 149(1), 64-73.  [PDF]

  2. •Chait, M., D. Poeppel, A. de Cheveigné and J. Z. Simon (2005), Human Auditory Cortical Processing of Changes in Interaural Correlation, J Neurosci 35(37), 8518-8527.  [PDF]

  3. •Ahmar, N., Y. Wang and J.Z. Simon (2005) Significance Tests for MEG Response Detection, Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on, 21-24.  [PDF]

  4. •Ahmar, N. and J.Z. Simon (2005), MEG Adaptive Noise Suppression using Fast LMS, Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on, 29-32.  [PDF]

  5. •Wang Y., N. Ahmar, J. Xiang, L. Ma, D. Poeppel and J.Z. Simon (2005), Complex Valued Equivalent-Current Dipole Fits for MEG Responses, Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on, 273-276.  [PDF]
     

  6. •Xiang, J., Y. Wang and J.Z. Simon (2005), MEG Responses to Speech and Stimuli with Speechlike Modulations, Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on, 33-36.  [PDF]
     

  7. •Elhilali M., Klein D., Fritz J., Simon J. and Shamma S. (2005), The Enigma of Cortical Responses: Slow Yet Precise, in Auditory signal processing: physiology, psychoacoustics, and models, Pressnitzer D., de Cheveigné A., McAdams S. and Collet L., (Springer Verlag: New York), 485-494.  [PDF]
     

2004

  1. •Chait, M., J. Z. Simon and D. Poeppel (2004), Auditory M50 and M100 Responses to Broadband Noise: Functional Implications, NeuroReport 15, 2455-2458.  [PDF]
     

  2. •Elhilali, M., J. B. Fritz, D. J. Klein, J. Z. Simon and S. A. Shamma (2004), Dynamics of Precise Spike Timing in Primary Auditory Cortex, J Neurosci. 24, 1159-72.  [PDF]
     

2003

  1. •Grau-Serrat, V., C. E. Carr and J. Z. Simon (2003), Modeling Coincidence Detection in Nucleus Laminaris, Biol Cybern. 89, 388-96.  [PDF] [PMC reader]
     

2001

  1. •Simon, J. Z., S. Parameshwaran, T. Penney and C.E. Carr (2001), Temporal Coding in the Auditory Brainstem of the Barn Owl, in Physiological and Psychophysical Bases of Auditory Function, Ed.: D. J. Breebaart, A. J. M. Houtsma, A. Kohlrausch, V. F. Prijs, and R. Schoonhoven, Shaker: Maastricht. [PDF]
     

  2. •Depireux D. A. , J. Z. Simon, D. J. Klein and S. A. Shamma (2001), Spectro-Temporal Response Field Characterization With Dynamic Ripples in Ferret Primary Auditory Cortex, J Neurophysiol 85,1220-1234.  [PDF]
     

2000

  1. •Klein, D. J., D. A. Depireux, J. Z. Simon and S. A. Shamma (2000), Robust Spectro-Temporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design, J. Comput. Neurosci. 9, 85-111.  [PDF]
     

  2. •Kanlis N. A., J. Z. Simon, and S. A. Shamma (2000), Complete training analysis of feedback architecture networks that perform blind source separation and deconvolution, In Proc. Independent Component Analysis and Blind Signal Separation Workshop, ICA 2000, 139-144.  [PDF]
     

1999

  1. •Simon, J. Z., C. E. Carr and S. A. Shamma (1999), A Dendritic Model of Coincidence Detection in the Avian Brainstem, Neurocomputing 26-27, 263-269.  [PDF]
     

1998

  1. •Depireux, D. A., P. Ru, S. A. Shamma and J. Z. Simon (1998), Response-Field Dynamics in the Auditory Pathway, In Computational Neuroscience: Trends in Research, Ed: James M. Bower (Elsevier: Amsterdam) 263-270.  [PDF]
     

  2. •Depireux, D. A., J. Z. Simon and S. A. Shamma (1998), Measuring the Dynamics of Neural Responses in Primary Auditory Cortex, Comments Theor. Biol. 5, 89-118. [PDF]
     

  3. •Simon, J. Z., D. A. Depireux and S. A. Shamma, (1998), Representation of Complex Dynamic Spectra in Auditory Cortex. In Psychophysical and Physiological Advances in Hearing. Ed.: A. R. Palmer, A. Rees, A.Q. Summerfield, and R. Meddis (Whurr: London) 513-520. [PDF]
     


Older Neuroscience Preprints


  1. •Johns, M. A., R. C. Calloway, L. P. Decruy, I. M. D. Karunathilake, S. Anderson, P., J. Z. Simon and S. E. Kuchinsky (2023) Attention Mobilization as a Modulator of Listening Effort: Evidence from Pupillometry, PsyArXiv DOI: https://doi.org/10.31234/osf.io/u5xw2


  1. •Karunathilake, I. M. D., J. L. Dunlap, J. Perera, A. Presacco, L. Decruy, S. Anderson, S. E. Kuchinsky, J. Z. Simon (2022)  Effects of Aging on Cortical Representations of Continuous Speech, bioRxiv 2022.08.22.504825. DOI: https://doi.org/10.1101/2022.08.22.504825


  1. •Soleimani, B., P. Das, P., I. M. D. Karunathilake, S. E. Kuchinsky, J. Z. Simon and B. Babadi (2022) NLGC: Network Localized Granger Causality with Application to MEG Directional Functional Connectivity Analysis, bioRxiv 2022.03.09.483683. DOI: https://doi.org/10.1101/2022.03.09.483683


  1. •Kulasingham, J. and J. Z. Simon (2022) Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech, bioRxiv 2022.01.18.476815. DOI: https://doi.org/10.1101/2022.01.18.476815


  1. •Brodbeck, C. and J. Z. Simon (2021) Cortical Tracking of Voice Pitch in the Presence of Multiple Speakers Depends 0n Selective Attention, bioRxiv 2021.12.03.471122. DOI: https://doi.org/10.1101/2021.12.03.471122 


  1. •Kulasingham, J. P., C. Brodbeck, S. Khan, E. B. Marsh, and J. Z. Simon (2021) Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients, bioRxiv 2021.10.15.464457. DOI: https://doi.org/10.1101/2021.10.15.464457


  1. •Brodbeck, C., A. Jiao, L. E. Hong and J. Z. Simon (2019) Auditory Cortex Tracks Masked Acoustic Onsets in Background Speech: Evidence for Early Cortical Stream Segregation, bioRxiv 866749. https://doi.org/10.1101/866749


  1. •Zan, P., A. Presacco, S. Anderson and J. Z. Simon (2019) Exaggerated Cortical Representation of Speech in Older Listeners: Mutual Information Analysis, bioRxiv 2019.12.18.881334. https://doi.org/10.1101/2019.12.18.881334


  1. •Kulasingham, J. P., C. Brodbeck, A. Presacco, S. E. Kuchinsky, S. Anderson and J. Z. Simon (2019) High Gamma Cortical Processing of Continuous Speech in Younger and Older Listeners, bioRxiv 2019.12.19.883314. https://doi.org/10.1101/2019.12.19.883314


  1. •Zan, P., A. Presacco, S. Anderson and J. Z. Simon (2019) Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain, bioRxiv 619528. https://doi.org/10.1101/619528


  1. •Das, P., C. Brodbeck, J. Z. Simon and B. Babadi (2019) Neuro-Current Response Functions: A Unified Approach to MEG Source Analysis under the Continuous Stimuli Paradigm, bioRxiv 761999. https://doi.org/10.1101/761999


  1. •Brodbeck, C., L. E. Hong and J. Z. Simon (2018) Transformation from Auditory to Linguistic Representations across Auditory Cortex is Rapid and Attention Dependent for Continuous Speech, bioRxiv 326785. http://dx.doi.org/10.1101/326785


  1. •Cervantes Constantino, F. and J. Z. Simon (2018) Dynamic Neural Representation of Missing Speech and the Influence of Prior Knowledge on Cortical Fidelity and Latency, bioRxiv 251793. https://doi.org/10.1101/251793


  1. •Brodbeck, C., A. Presacco, S. Anderson and J. Z. Simon (2018) Increased Speech Representation in Older Adults Originates from Early Response in Higher Order Auditory Cortex, bioRxiv 294017. https://doi.org/10.1101/294017


  1. •Vanthornhout, J., L. Decruy, J. Wouters, J. Z. Simon, and T. Francart (2018) Speech Intelligibility Predicted from Neural Entrainment of the Speech Envelope, bioRxiv 246660. https://doi.org/10.1101/246660


  1. •Puvvada, K. C., M. Villafañe-Delgado, C. Brodbeck and J. Z. Simon (2017) Neural Coding of Noisy and Reverberant Speech in Human Auditory Cortex, bioRxiv 229153. https://doi.org/10.1101/229153


  1. •Cervantes Constantino, F., M. Villafañe-Delgado, E. Camenga, K. Dombrowski, B. Walsh and J. Z. Simon (2017) Functional Significance of Spectrotemporal Response Functions Obtained using Magnetoencephalography, bioRxiv 168997. https://doi.org/10.1101/168997


  1. •Presacco, A., J. Z. Simon and S. Anderson (2017) Representation of Speech in Noise in the Aging Midbrain and Cortex: Aging May Dominate Over Hearing-Loss, bioRxiv 212159. https://doi.org/10.1101/212159


  1. •Miran, S., S. Akram, A. Sheikhatar, J. Z. Simon, T. Zhang and B. Babadi (2017) Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach, bioRxiv 222661. https://doi.org/10.1101/222661


  1. •Brodbeck, C., A. Presacco and J. Z. Simon (2017) Neural Source Dynamics of Brain Responses to Continuous Stimuli: Speech Processing from Acoustics to Comprehension, bioRxiv 182881. https://doi.org/10.1101/182881
     

  2. •Cervantes Constantino, F. and J. Z. Simon (2017) Dynamic Cortical Representations of Perceptual Filling-In for Missing Acoustic Rhythm, bioRxiv 165332. https://doi.org/10.1101/165332
     

  3. •Puvvada, K. C. and J. Z. Simon (2017) Cortical Representations of Speech in a Multi-talker Auditory Scene, bioRxiv 124750. https://doi.org/10.1101/124750
     

  4. •Simon, J. Z., D.A. Depireux, D. J. Klein, J.B. Fritz and S.A. Shamma (2007), Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity, arXiv:q-bio/0608027 https://arxiv.org/abs/q-bio/0608027
     

  5. •Luo, H., Y. Wang, D. Poeppel and J. Z. Simon (2006), Concurrent Encoding of Frequency and Amplitude Modulation in Human Auditory Cortex: MEG Evidence, arXiv:q-bio/0602025 https://arxiv.org/abs/q-bio/0602025
     

  6. •Klein, D.J., J.Z. Simon, D.A. Depireux, and S.A. Shamma (2006), Stimulus-Invariant Processing and Spectrotemporal Reverse Correlation in Primary Auditory Cortex, arXiv:q-bio/0508039 https://arxiv.org/abs/q-bio/0508039
     

  7. •Simon, J. Z. and Y. Wang (2005), Fully Complex Magnetoencephalography, arXiv:q-bio/0508035 https://arxiv.org/abs/q-bio/0508035  
     

  8. •Depireux, D. A., J. Z. Simon and S. A. Shamma (1998), Measuring the Dynamics of Neural Responses in Primary Auditory Cortex, arXiv:q-bio/0309027 https://arxiv.org/abs/q-bio/0309027



Physics Research

1997

  1. •Jorma Louko, Jonathan Z. Simon, Stephen N. Winters-Hilt, Hamiltonian Thermodynamics of a Lovelock Black Hole, Phys. Rev. D 55 3525 (1997). [PDF]
     

1993

  1. •Leonard Parker and Jonathan Z. Simon, Einstein Equations with Quantum Corrections Reduced to Second Order , Phys. Rev. D 47, 1339 (1993). [PDF]
     

1992

  1. •John L. Friedman, N. J. Papastamatiou, and Jonathan Z. Simon, Failure of Unitarity for Interacting Fields on Spacetimes with Closed Timelike Curves, Phys. Rev. D 46, 4456 (1992). [PDF]
     

  2. •John L. Friedman, N. J. Papastamatiou, and Jonathan Z. Simon, Unitarity of Interacting Fields in Curved Spacetime, Phys. Rev. D 46, 4442 (1992). [PDF]
     

  3. •Jonathan Z. Simon, No Starobinsky Inflation From Self-Consistent Semiclassical Gravity, Phys. Rev. D 45, 1953 (1992). [PDF]
     

1991

  1. •Jonathan Z. Simon, Stability of Flat Space, Semiclassical Gravity, and Higher Derivatives, Phys. Rev. D 43, 3308 (1991). [PDF]
     

1990

  1. •Jonathan Z. Simon, Higher-derivative Lagrangians, Nonlocality, Problems, and Solutions, Phys. Rev. D 41, 3720 (1990). [PDF]
     

1989

  1. •Robert C. Myers and Jonathan Z. Simon, Black Hole Evaporation and Higher-Derivative Gravity, Gen. Rel. Grav. 21, 761 (1989). [PDF]
     

1988

  1. •Robert C. Myers and Jonathan Z. Simon, Black-hole Thermodynamics in Lovelock Gravity, Phys. Rev. D 35, 2434 (1988). [PDF]
     

1986

  1. •J. Richard Gott III, Jonathan Z. Simon, and Mark Alpert, General Relativity in a (2+1)-Dimensional Space-Time: An Electrically Charged Solution, Gen. Rel. Grav. 18, 1019 (1986). [PDF]



Physics Reviews 


1998

  1. •Jonathan Simon, Learning Physics From Science Fiction, Physics World 11:1, 52 (1998). [PDF]
     

1994

  1. •Jonathan Z. Simon, The Physics of Time Travel, Physics World 7:12, 27 (1994). [PDF]  [Journal Cover]
     

1992

  1. •Bruce Allen and Jonathan Simon, Time Travel on a String, Nature 357, 19 (1992). [PDF]





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Theses

Advised Students

  1. •I. M. Dushyanthi Karunathilake (ECE Ph.D., 2023): Cortical Representations of Intelligible and Unintelligible Speech: Effects of Aging and Linguistic Content
     

  2. •Joshua P. Kulasingham (ECE Ph.D., 2021): Time-Locked Cortical Processing of Speech in Complex Environments
     

  3. •David Nahmias (ECE Ph.D., 2020): Advances in Quantitative Characterizations of Electrophysiological Neural Activity
     

  4. •Peng Zan (ECE Ph.D., 2019): Decoding Auditory Brain Responses with Mutual Information and the Effects of Aging
     

  5. •Krishna C. Puvvada (ECE Ph.D., 2017): Cortical Representation of Speech in Complex Auditory Environments and Applications
     

  6. •Francisco Cervantes Constantino (NACS Ph.D., 2017): Sensory and Perceptual Codes in Cortical Auditory Processing
     

  7. •Mahshid Najafi (ECE Ph.D., 2017): Spatial and Temporal Modeling of Large-Scale Brain Networks
     

  8. •Alessandro Presacco (NACS Ph.D., 2016): Effects of Aging on Midbrain and Cortical Speech-in-Noise Processing
     

  9. •Benjamin Walsh (ECE M.S., 2015): Analysis of Gamma-Band Auditory Responses in Schizophrenia
     

  10. •Marisel Villafañe-Delgado (ECE M.S., 2013): The Cortical Representations of Speech in Reverberant Conditions
     

  11. •Kim Drnec (NACS Ph.D., 2013): Electroencephalography (EEG) and Measures of Nocioception in Cattle
     

  12. •Nai Ding (ECE Ph.D., 2012): Temporal Coding of Speech in Human Auditory Cortex
     

  13. •Jiachen (Chenny) Zhuo (ECE Ph.D., 2011): Diffusion Kurtosis Magnetic Resonance Imaging and Its Application to Traumatic Brain Injury
     

  14. •Kai Sum Li (ECE M.S., 2010): The Neural Dynamics of Amplitude Modulation Processing in the Human Auditory System
     

  15. •Claudia Bonin (NACS Ph.D., 2010): Spatial and Temporal Characteristics of Electromagnetic Activity in the Brain Prior to Reaches to Visual Targets
     

  16. •Juanjuan Xiang (ECE Ph.D., 2008): Hearing vs. Listening: Attention Changes the Neural Representations of Auditory Percepts
     

  17. •Maria Chait (NACS Ph.D., 2006): Auditory Edge Detection: The Dynamics of the Construction of Auditory Perceptual Representations
     

  18. •Nayef Ahmar (ECE M.S., 2005): da Vinci's Encephalogram: In search of significant brain signals
     

  19. •Victor Grau Serrat (ECE M.S., 2003): Methods in Realistic Computational Modeling of the Avian Cochlear Nucleus
     

  20. •Raul Rodriguez Esteban (ECE M.S., 2002): A Model of the Avian Superior Olivary Nucleus
     

Student Collaborators

  1. •Proloy Das (ECE Ph.D., 2020): Bayesian Modeling and Estimation Techniques for the Analysis of Neuroimaging Data

  2. •Sina Miran (ECE Ph.D., 2019): Efficient Solutions to High-Dimensional and Nonlinear Neural Inverse Problems

  3. •Jonas Vanthornhout (KU Leuven Ph.D., 2019): Towards an Objective and Automatic Measure of Speech Understanding (Objectief en automatisch meten van spraakverstaan)

  4. •Sahar Akram (ECE Ph.D., 2015): Neural and Computational Approaches to Auditory Scene Analysis

  5. •Julian Jenkins III (Biology Ph.D., 2011): MEG, Psychophysical and Computational Studies of Loudness, Timbre, and Audiovisual Integration
     

  6. •Murat Aytekin (NACS Ph.D., 2007): Sound Localization by Echolocating Bats
     

  7. •Huan Luo (NACS Ph.D., 2007): Tracking Sound Dynamics in Human Auditory Cortex: New Macroscopic Perspectives from MEG
     

  8. •Mounya Elhilali (ECE Ph.D., 2004): Neural Basis and Computational Strategies for Auditory Processing

Jonathan

  1. •Jonathan Z. Simon (Physics Ph.D., 1990): Higher Derivative Expansions and Non-locality: with Applications to Gravity and the Stability of Flat Space [PDF]

  2. •Jonathan Z. Simon (Physics A.B., 1985): Electromagnetic Fields in 2+1 Dimensions [PDF]




Technical Reports

  1. •Bohr, S., A. Shome, and J.Z. Simon (2008), Improving Auditory CAPTCHA Security, ISR TR 2008-32.
     

  2. •Klein, D.J., J.Z. Simon, D.A. Depireux, and S.A. Shamma (2003), Linear Stimulus-Invariant Processing and Spectrotemporal Reverse Correlation in Primary Auditory Cortex, ISR TR 2003-42.
     

  3. •Depireux D. A. , J. Z. Simon, D. J. Klein and S. A. Shamma (1999), Dynamics of Neural Responses in Ferret Primary Auditory Cortex: I. Spectro-Temporal Response Field Characterization by Dynamic Ripple Spectra, ISR TR 1999-62.
     

  4. •Klein, D. J., D. A. Depireux, J. Z. Simon and S. A. Shamma (1999), Robust Spectro-Temporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design, ISR TR 1999-60.




Presentations and Posters

2024

  1. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond,
    from Acoustics to Language to Semantics (U. Washington ’24)

  2. •Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention (ARO ’24)

  3. •Changes in Cortical Directional Connectivity during Difficult Speech Listening in Younger and Older Adults (ARO ’24)

  4. •Decoding of Imagined Speech and Music (ARO ’24)


2023

  1. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond,
    from Acoustics to Language to Semantics (Zhejiang U. ’23)

  2. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond,
    from Acoustics to Language to Semantics (Peking U. ’23)

  3. •Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged  (SfN ’23)

  4. •Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention (SfN ’23)

  5. •Changes in Cortical Directional Connectivity during Difficult Speech Listening in Younger and Older Adults (SfN ’23)

  6. •Attention Mobilization as a Modulator of Listening Effort: Evidence from Pupillometry (SfN ’23)

  7. •Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged  (APAN ’23)

  8. •Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention (APAN ’23)

  9. •Changes in Cortical Directional Connectivity during Difficult Speech Listening in Younger and Older Adults (APAN ’23)

  10. •Attention Mobilization as a Modulator of Listening Effort: Evidence from Pupillometry (APAN ’23)

  11. •Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged  (MEG North America ’23)

  12. •Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention (MEG North America ’23)

  13. •Changes in Cortical Directional Connectivity during Difficult Speech Listening in Younger and Older Adults (MEG North America ’23)

  14. •Information-Theoretic Limits on the Performance of Auditory Attention Decoders (Asilomar ’23)

  15. •Comparing neural measures of prediction between native and second language listeners in continuous speech (SNL ’23)

  16. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond,
    from Acoustics to Language to Semantics (U. Lübeck ’23)

  17. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond,
    from Acoustics to Language to Semantics (Bar-Ilan University ’23)

  18. •Effects of Aging on Cortical Representations of Continuous Speech and Directional Connectivity during Difficult Listening (CogHear ’23)

  19. •The Progression of Neural Representations of Speech in the Brain, from Acoustics to Semantics (MathBio ’23)

  20. •Toward A Non-Linguistic Measure of Auditory Processing Deficits in Older and Younger Monolingual and Bilingual Adults  (BBI Seed Grants ’23)

  21. •Attention Mobilization as a Modulator of Listening Effort: Evidence from Pupillometry (SPLASH ’23)

  22. •Age-related Changes in Cortical Directional Connectivity during Difficult Speech Listening (SPLASH ’23)

  23. •Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention (SPLASH ’23)

  24. •The Progression of Neural Speech Representations Through Auditory Cortex and Beyond, from Acoustics to Language to Semantics (U. Rochester ’23)




  1. •Progression of Acoustic, Phonemic, Lexical and Sentential Neural Features Emerge During Speech Listening  (ARO ’23)




  1. •Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged  (ARO ’23)

2022

  1. •Progression of Acoustic, Phonemic, Lexical and Sentential Neural Features Emerge During Speech Listening (SfN ’22)   

  2. •Assessing Directional Connectivity via Network Localized Granger Causality Extracted from MEG Data (SfN ’22)

  3. •Local and Global Context Models in Non-Native English Speakers (SNL ’22)   

  4. •Progression of Acoustic, Phonemic, Lexical and Sentential Neural Features Emerge During Speech Listening (SNL ’22)   






  1. •Impulse Response Estimation Methods for Modeling Neural Processing of Continuous Speech (ERNSI ’22)






  1. •Robust Functional Connectivity from MEG using Network Localized Granger Causality: Directional Connectivity Results in Physiological Frequency Bands (BioMag ‘22)

  2. •Integrating Temporal Response Function Estimation with Sparse Source Localization (BioMag Satellite ‘22)

  3. •Algorithms for Estimating TRF Components from M/EEG Responses to Continuous Speech (CNSP ’22) [Presentation Video (starting at timestamp 1:04:08)] [Tutorial Video] [Tutorial Resources]  

  4. •Progression of Acoustic, Phonemic, Lexical and Sentential Neural Features Emerge During Speech Listening (Auditory Gordon Conference ’22)   

  5. •Robust Functional Connectivity from MEG using Network Localized Granger Causality: Directional Connectivity Results in Physiological Frequency Bands (BRAIN PI ’22)







  1. •High Gamma Time­Locked Cortical Responses to Continuous Speech (CHSCOM ’22)

  2. •Impulse Response Estimation Methods for Modeling Neural Processing of Continuous Speech (Reglermote ’22)

  3. •Attention Modulated Neuro-Markers Extracted from Listening to Continuous Speech (ARO ’22)

  4. •Central Compensation Underlies Over-Representation of Speech Signals in the Aging Auditory Cortex (ARO ’22)

2021

  1. •Network Localized Granger Causality Reveals Cortical Network Changes Under Difficult Listening Conditions (SFN ’21) [Video]

  2. •Cortical Processing of Arithmetic and Simple Sentences, in an Auditory Attention Task (SFN ’21)  [Video]

  3. •Continuous Speech and its Neural Representations, Through Auditory Cortex and Beyond (JHU ’21)

  4. •Neural speech processing in the aging auditory brain (ISAAR ’21)

  5. •The Effects of Aging on the Cortical Representation of Continuous Speech (ISAAR ’21)

  6. •Pupil diameter indexes time-course shifts in older adults’ sustained listening effort (ISAAR ’21)

  7. •Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task (BRAIN PI ’21)

  8. •Network Localized Granger Causality Inference: Performance Evaluation and Application to MEG Data (BRAIN PI ’21)

  9. •Continuous Speech and its Neural Representations, Through Auditory Cortex and Beyond (SCAN ’21)

  10. •Neural Tracking of Continuous Speech is Enhanced in Healthy Aging and Hearing Impaired Adults: The Neural Mechanisms Underlying Speech-In-Noise Problems (ARO ’21)

  11. •Neuro-Current Response Functions: A Unified Approach to MEG Source Analysis Under the Continuous Stimuli Paradigm (ARO ’21)

  12. •Neural Tracking of Linguistic Speech Representations (ARO ’21)

  13. •Cortical Processing of Arithmetic and Simple Sentences, in an Auditory Attention Task, Linked to Behavior (ARO ’21)

  14. •Effects of Aging on the Cortical Representation of Continuous Speech (ARO ’21)

  15. •Pupil Dilation, as a Continuous Measure of Listening Effort, During Sustained Attention to Competing Talkers (ARO ’21)

  16. •Relationships Between Subjective and Objective Measures of Continuous Speech Understanding Reveal Age-Related Deficits (ARO ’21)

2020

  1. •Effects of Aging on the Cortical Representation of Continuous Speech (APAN ’20)

  2. •Pupil Dilation, as a Continuous Measure of Listening Effort, During Sustained Attention to Competing Talkers (APAN ’20)

  3. •Cortical Processing of Arithmetic and Simple Sentences, in an Auditory Attention Task, Linked to Behavior (APAN ’20)

  4. •Neural Speech Restoration at the Cocktail Party: Auditory Cortex Recovers Masked Speech of both Attended and Ignored Speakers (APAN ’20)

  5. •Cortical Connectivity Changes Under Difficult Listening Conditions Revealed by Network Localized Granger Causality (APAN ’20)

  6. •What Can We Decode? (CogHear ’20) [Video]

  7. •Auditory Cortex Tracks Masked Acoustic Onsets in Background Speech: A Potential Stream Segregation Mechanism (CNS ’20)

  8. •Auditory Cortex Tracks Acoustic Onsets of Ignored Speech: A Potential Mechanism in Stream Segregation (ARO ’20)

  9. •High Frequency Cortical Processing of Continuous Speech in Younger and Older Listeners (ARO ’20)

  10. •Dynamic Processing of Background Speech at the Cocktail Party: Evidence for Early Active Cortical Stream Segregation (KU Leuven ’20)

2019

  1. •High Frequency Cortical Processing of Continuous Speech in Younger and Older Listeners (Listen & Learn ’19)

  2. •High Frequency Time-Locking in Human Auditory Cortex to Continuous Speech (MEG NA ’19)

  3. •Auditory Cortex Tracks Acoustic Onsets of Ignored Speech: A Potential Mechanism in Stream Segregation (MEG NA ’19)

  4. •Neuro-Current Response Functions: an Integrated Approach to MEG Source Analysis for Continuous Stimulus Paradigm (MEG NA ’19)

  5. •Effect of Attention on Neural Correlates of Auditory Perception in Schizophrenia (MEG NA ’19)

  6. •High Frequency Time-Locking in Human Auditory Cortex to Continuous Speech (SFN ’19)




  1. •High Frequency Cortical Processing of Continuous Speech in Younger and Older Listeners (AESoP ’19)






  1. •Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task (EMBC ’19)

  2. •Towards Objective Measures of Speech Perception (CIAP ’19)




  1. •Rapid Time-Locked Lexical Processing of Attended but not of Unattended Continuous Speech (CHSCOM ’19)





  1. •Over-Representation of Speech in Older Adults Originates from Early and Late Responses in Auditory Cortex (CHSCOM ’19)



  1. •Transformations from Auditory to Lexical Representations, across Auditory Cortex, are Rapid and Attention Dependent (Cambridge University ’19)



  1. •Estimation of State Space Models with Gaussian Mixture Process Noise (DSW ’19)

  2. •High Frequency Time Locking in Auditory Cortex to Continuous Speech (SAND ’19)

  3. •Neuro-Current Response Functions: an Integrated Approach to MEG Source Analysis for Continuous Stimulus Paradigm (SAND ’19)

  4. •Direct Cortical Localization of the MEG Auditory Temporal Response Function: a Non-Convex Optimization Approach (NACS Research ’19)

  5. •Cortical Over-representation of Speech in Older Listeners Correlates with a Reduction in both Behavioral Inhibition and Speech Intelligibility (NACS Research ’19)

  6. •Attention and Auditory Perception in Schizophrenia: an MEG Link to Auditory Hallucinations (NACS Research ’19)

  7. •High Frequency Time Locking in Auditory Cortex to Continuous Speech (NACS Research ’19)

  8. •MEG Responses Track Lexical Processing of Continuous Narrative Speech (NACS Research ’19)

  9. •Direct Cortical Localization of the MEG Auditory Temporal Response Function: a Non-Convex Optimization Approach (BRAIN PI ’19)

  10. •Increased Speech Representation in Older Adults Originates from Early and Late Responses in Auditory Cortex (ARO ’19)

  11. •Cortical Over-representation of Speech in Older Listeners Correlates with a Reduction in both Behavioral Inhibition and Speech Intelligibility (ARO ’19)

  12. •Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain (ARO ’19)

2018

  1. •Transformation from Auditory to Linguistic Representations, across Auditory Cortex, is Rapid and Attention Dependent (Attention to Sound ’18) [Audio]

  2. •Direct Cortical Localization of the MEG Auditory Temporal Response Function: a Non-Convex Optimization Approach (SFN ’18)

  3. •Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization (ACSSC ’18)

  4. •Neural Representations of Cocktail Party Speech in Human Auditory Cortex (SPR ’18)





  1. •MEG Responses Track Lexical Processing of Continuous Narrative Speech (Mental Lexicon ’18)





  1. •Origins of Cortical Over-Representation of Speech in Older Adults (SPLASH ’18)

  2. •Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain (SPLASH ’18)

  3. •Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering (EMBC ’18)

  4. •Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain (EAR ’18)

  5. •Increased Speech Representation in Older Adults Originates from Early Response in Higher Order Auditory Cortex (ISH ’18)

  6. •Adaptation to Noise and Cortical Representation of Speech (Salamanca ’18)

  7. •Recent Advances in Cortical Representations of Speech using MEG (AESoP ’18)

  8. •Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain (COMBINE ’18)

  9. •Neural Representations of Speech in Human Auditory Cortex (ICCN ’18)

  10. •Real-Time Tracking of the Selective Auditory Attention from M/EEG via Bayesian Filtering (BRAIN PI ’18)

  11. •Tracking Phoneme Processing During Continuous Speech Perception with MEG (ARO ’18)

  12. •Suppressing Auditory Background Speech: a Link to Auditory Hallucination in Schizophrenia (ARO ’18)

2017

  1. •Neural Representations of Speech in Human Auditory Cortex: Systems-Based Approaches (ISR Colloquium ’17) [Video]

  2. •Towards an Inexpensive, Lightweight Mobile EEG (CSMHHP ’17)

  3. •Tracking Phoneme Processing During Continuous Speech Perception with MEG (SNL ’17)

  4. •Real-Time Tracking of the Selective Auditory Attention from M/EEG via Bayesian Filtering (SFN ’17)

  5. •Neural Source Dynamics of Brain Responses to Continuous Speech: from Acoustics to Comprehension (SFN ’17)

  6. •Neural Source Dynamics of Brain Responses to Continuous Speech: from Acoustics to Comprehension (NIH MEG ’17)

  7. •Neural Representations of Speech in Human Auditory Cortex (UMCP Applied Dynamics Seminar ’17)

  8. •Neural Source Dynamics of Brain Responses to Continuous Speech: from Acoustics to Comprehension (ICAC ’17)

  9. •Neural Representations of Restored Acoustic Rhythm in Noise (ASA ’17)

  10. •Neural Representations of Speech in Human Auditory Cortex (KITP ’17) [Video]

  11. •How the Brain Solves the Cocktail Party Problem: Evidence from Human Auditory Neuroscience (KITP ’17) [Video]

  12. •Why Would a Theoretical Physicist Study the Auditory Brain? [Blackboard Talk] (KITP ’17) [Video]

  13. •Neural source dynamics of brain responses to continuous stimuli with MEG: speech processing from acoustics to comprehension (SAND ’17)

  14. •Auditory-Cognitive Training Alters the Neural Encoding of Speech for Older Adults with Normal Hearing (ARO ’17)

  15. •Effect of Informational Content of Noise on Neural Speech Representations, with and without Peripheral Hearing Loss (ARO ’17)

  16. •Neural Representation of Noisy Reverberant Speech in Human Auditory Cortex (ARO ’17)





  1. •The Magnetoencephalographic Spectrotemporal Response Function in Auditory Cortex (ARO ’17)





2016

  1. •Investigating Function in Human Auditory Cortex with Magnetoencephalography (Blair HS ’16)

  2. •The Relation Between Neural Entrainment and Speech Intelligibility (APAN ’16)

  3. •Neural Representation of Noisy Reverberant Speech in Human Auditory Cortex (NIH MEG ’16)

  4. •The Magnetoencephalographic Spectrotemporal Response Function in Auditory Cortex (NIH MEG ’16)

  5. •Neural Representations of Speech at the “Cocktail Party” in Human Auditory Cortex (China ’16)

  6. •Predicting Speech Understanding from EEG Recordings: Effect of Attention (IHCON ’16)

  7. •Signal Analysis Primer and Applications (Lübeck ’16)

  8. •Neural Representations of Speech, and Speech in Noise, in Human Auditory Cortex (ASA ’16)

  9. •Low Cost Mobile EEG for Characterization of Cortical Auditory Responses (ISCAS ’16)

  10. •Low-power EEG monitor based on Compressed Sensing with Compressed Domain Noise Rejection (ISCAS ’16)

  11. •Low Frequency Auditory Synchronization Deficiencies in Schizophrenia (ARO ’16)

  12. •Top-down Neural Synchronization during Imagined Acoustic Rhythm (ARO ’16)

  13. •Effects of Meaningful vs. Meaningless Noise on Speech Representations in the Aging Midbrain and Cortex (ARO ’16)

  14. •Neural Representations of Speech, and Speech in Noise, in Human Auditory Cortex (SPIRE ’16)

2015

  1. •Neural Representations of the Cocktail Party in Human Auditory Cortex (Paris ’15)

  2. •Dynamic Estimation of Auditory Response Function with Confidence Intervals (SFN ’15)

  3. •Temporal Auditory Coding in Schizophrenia and Treatment-Resistant Auditory Hallucination (UMB-UMCP Seed Grant Program ’15)

  4. •Effect Of Meaningful and Meaningless Noise at the Cortical and Subcortical Level on Processing Speech in Younger and Older Adults (ASC ’15)

  5. •Signal Analysis Primer and Applications (Neural Data Science CSHL ’15)

  6. •Neural Encoding of Speech in Auditory Cortex (UCL ’15)

  7. •Neural Encoding of Speech in Auditory Cortex (KU Leuven ’15)

  8. •Neural Representations of the Cocktail Party in Human Auditory Cortex (CHSCOM ’15)

  9. •Neural Rhythm Synchronizes With Imagined Acoustic Rhythm (SAND ’15)

  10. •Interacting Effects of Aging and Context on Neural Temporal Processing (AAS ’15)

  11. •Evidence of Age-Related Temporal Processing Deficits in EEG and MEG Recordings (ARO ’15)

  12. •Time-Constrained Neural Decoding from Multiple Auditory Cortical Areas (ARO ’15)

  13. •Neural Representations of Speech in Human Auditory Cortex (Winter Storm ’15)

2014

  1. •Signal Analysis Primer and Applications (Simons Foundation ’14) [Video]

  2. •Abnormal Low-Frequency Auditory Locking: Towards an All-Inclusive Phenomenology of Schizophrenia (SFN-Greater Baltimore ’14)

  3. •A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment (NIPS ’14)

  4. •Influence of Aging on Cortical Auditory Temporal Processing of Speech in Noise (SFN ’14)

  5. •Differing Effects of Noise on Subcortical Speech Representation in Younger and Older Adults (SFN ’14)

  6. •Applications from Magnetoencephalography: Neural Detection of Attended Voices and Signal Enhancement (Federal Laboratory Symposium ’14)

  7. •Neural Representations of the Cocktail Party in Human Auditory Cortex (Auditory Gordon Conference ’14)

  8. •Effects of Aging on Temporal Synchronization of Speech in Noise Investigated in the Cortex by using MEG and in the Midbrain by using EEG Techniques (Universitatis 21 Ageing ’14)

  9. •Neural Representations of the Cocktail Party in Human Auditory Cortex (Johns Hopkins University ’14)

  10. •Neural Representations of the Cocktail Party in Human Auditory Cortex (Max Planck Institute Leipzig ’14)

  11. •Neural Representations of the Cocktail Party in Human Auditory Cortex (ASA ’14)

  12. •Conversation: Sounding the Humanities, Sounding the Sciences (Sound+ ’14)

  13. •Neural Representations of Background Speakers at the Cocktail Party (ARO ’14)

  14. •Peering Inside Your Brain Via its Neural Magnetic Fields (UMCP Physics Colloquium ’14)

2013

  1. •Neural Representations of Background Speakers at the Cocktail Party (SFN ’13)

  2. •Cortical Encoding of Auditory Objects at the Cocktail Party (UMCP Biology Colloquium ’13)

  3. •Introduction to Magnetoencephalography (AFOSR ’13)

  4. •Cortical Encoding of Auditory Objects at the Cocktail Party (UMCP ECE/ISR Colloquium ’13)[Video]

  5. •Cortical Encoding of Auditory Objects at the Cocktail Party (Walter Reed Army Medical Center ’13)

  6. •Cortical Encoding of Auditory Objects at the Cocktail Party (Computational Audition ’13)

  7. •Cortical Encoding of Auditory Objects at the Cocktail Party (ARO ’13 Presidential Symposium)

  8. •Spectro-temporal Fine Structure is Critical for Robust Neural Encoding of Speech in Noise (ARO ’13)

  9. •Neural Entrainment to Speech, a Matter of Time or Frequency? (ARO ’13)

  10. •Cortical Representations of Music in Human Listeners (ARO ’13)

2012

  1. •The Neural Encoding of Auditory Objects while Listening to Competing Speakers (NAKFI ’12)

  2. •Cortical Encoding of Auditory Objects in the Cocktail Party Problem (UC Irvine ’12)

  3. •Breaking Down the Cortical Representations of Speech in LFP and MUA (SFN ’12)





  1. •Noise Robust Neural Synchronization to Speech Envelope (Auditory Cortex ’12)





  1. •Temporal cues and modulation rate interplay with attention to detect a target sound embedded in background noise (Auditory Cortex ’12)

  2. •Cortical Representation of Continuous Speech in Complex Auditory Scenes (BioMag ’12)

  3. •Investigating the Perceptual Mechanism of Ambiguous Stimuli in Auditory Cortex (BioMag ’12)

  4. •Robust Cortical Encoding of Slow Temporal Modulations of Speech (ISH ’12)

  5. •Cortical Encoding of Auditory Objects in the Cocktail Party Problem (UCL ’12)

  6. •Spectro-temporal Fine Structure Critical for Robust Neural Synchronization to Speech (EAR ’12)

  7. •Optimal Diffusion Kurtosis Imaging for Clinical Use – Fewer diffusion weightings or diffusion directions? (ISMRM ’12) abstract

  8. •Auditory Object Based Cortical Representation During Speech Segregation (ARO ’12)

  9. •Breaking Down the Cortical Representations of Speech in LFP and MUA (ARO ’12)

  10. •Temporal Cues and Modulation Rate Interplay with Attention to Detect a Target Sound Embedded in Background Noise (ARO ’12)

2011

  1. •Spectro-Temporal Neural Coding of Speech in Human Auditory Cortex (SFN ’11)

  2. •Audiovisual Entrainment to Pseudo-Speech Signals (SFN ’11)

  3. •Psychophysical and MEG Studies of the Timbre of Synthesized Approximations to Ecological Vowels (SFN ’11)

  4. •Spectro-Temporal Neural Coding of Speech in Human Auditory Cortex (APAN ’11)

  5. •Cortical Processing of Continuous Speech in Auditory Cortex during Monaural and Dichotic Listening (NLC ’11)

  6. •Psychophysical and Physiological Studies of Synthetic Vowel Harmonic Structure (NLC ’11)

  7. •Temporal Processing of Vocoded Speech in Human Auditory Cortex (CIAP ’11)

  8. •Neural Coding of Single and Simultaneous Talkers in Auditory Cortex (ASA ’11)

  9. •Diffusion Kurtosis–a Sensitive Marker For Traumatic Brain Injury (ISMRM ’11), abstract

  10. •Diffusion Kurtosis Imaging (DKI) Reconstruction - Linear or Non-Linear? (ISMRM ’11), abstract




  1. •Cortical Neural Coding of Speech in Simple and Complex Auditory Scenes (COSYNE ’11)





  1. •Cortical Neural Coding of Speech in Simple and Complex Auditory Scenes (ARO ’11)

2010

  1. •Neural Computations in the Auditory Brain (Institute for Systems Research NSF Site Visit & 25th Anniversary ’10)

  2. •Auditory Neuroscience with Magnetoencephalography: New Quantitative Approaches (APAN ’10)

  3. •Challenges for Analyzing Slow Rhythms in MEG Data (NYU Neuronal Oscillations, Nesting, Speech Perception, Learning Workshop ’10)

  4. •The Neural Representation of Concurrent Speech Signals in Human Auditory Cortex (Gordon Research Conference on Sensory Coding and the Natural Environment ’10)

  5. •Magnetoencephalography and Auditory Neural Representations (SBEC ’10)

  6. •Human Cortical Representations of Complex Temporal Modulations (NIDCD-CEBH ’10)

  7. •Human Cortical Representations of Simultaneous Fast FM and Slow AM (ARO ’10)

2009

  1. •What Matters When Looking for EEG/MEG Biomarkers (NIMH EEG/MEG ’09)

  2. •Modulation Encoding in Auditory Cortex (Auditory Cortex ’09)





  1. •The Neural Representation of Auditory Modulations Relevant to Speech (MERIT ’09)





  1. •Human Cortical Representations of Simultaneous Fast FM and Slow AM (EAR ’09)

  2. •Auditory streaming at the cocktail party: Simultaneous neural and behavioral studies of auditory attention (ISH ’09)

  3. •Competing streams at the cocktail party - A neural and behavioral study of auditory attention (ARO ’09)

  4. •New Methods for Denoising MEG data (NYU MEG Analysis Workshop ’09)

2008

  1. •Competing streams at the cocktail party: A neural and behavioral study of auditory attention (Topics ’08)

  2. •Auditory attention with competing auditory streams: a simultaneous behavioral and electrophysiological study (SFN ’08)

  3. •Auditory modulation transfer functions measured by MEG for modulation rates dominant in speech (SFN ’08)

  4. •3 New Methods for Signal Analysis and Denoising (Biomag ’08)

  5. •Revealing Hidden Neural Processes (MERIT ’08)

  6. •Foreground and Background at the Cocktail Party:A Neural and Behavioral study of Top-Down and Bottom-Up Auditory Attention (EAR ’08)

  7. •Cortical Representations of Multiple Temporal Modulations (CRCNS ’08)

  8. •Neural Computations at the Femtotesla Scale: Visualizing Computations Inside the Human Brain (Indiana University ’08)

  9. •Foreground and background at the cocktail party: A neural and behavioral study of top-down and bottom-up auditory attention (Indiana University ’08)




  1. •Foreground and background at the cocktail party: A neural and behavioral study of top-down and bottom-up auditory attention (COSYNE ’08)







  1. •Cortical Representations of Compound Temporal Modulations: Implications for Modulation Filterbanks (ARO ’08)



2007

  1. •Foreground and background at the cocktail party: Interaction between attention and auditory pop-out (BioScience ’07)

  2. •Sound localization by echolocating bats: Are auditory signals enough? (ASA ’07) (Lay Language Paper)

  3. •Foreground and background at the cocktail party: Interaction between attention and auditory pop-out (SFN ’07)

  4. •The Role of Auditory Attention in Neural Processing and Behavior (NACS/Biology Seminar, UMCP ’07)

  5. •Auditory neural responses modulated by attention and correlated with perceptual detectability (CRCNS ’07)

  6. •Neural Coding of Multiple Stimulus Features in Auditory Cortex (NYU ’07)

  7. •Neural Computations at the Femtotesla Scale: Visualizing Computations Inside the Human Brain (ECE Department Colloquium, UMCP ’07)

  8. •An Encoding Transition in the Concurrent Encoding of Frequency and Amplitude Modulation in Human Auditory Cortex (COSYNE ’07)

  9. •The Interaction Between Attention and Auditory Pop-out (ARO ’07)

2006

  1. •Selectively ignoring a moment in time - an auditory MEG investigation (Auditory Cortex ’06)

  2. •Human Auditory Cortical Processing Of Transitions Between ’Order' And ’Disorder' (ISH ’06)

  3. •Neural Coding of Multiple Stimulus Features in Auditory Cortex (Paris ’06)

  4. •Fully Complex Magnetoencephalography (APS March ’06)

  5. •Modulation-encoding and co-representation of the acoustic envelope and carrier in human auditory cortex (ARO ’06)

  6. •Human Auditory Cortical and Behavioral Sensitivity for Transitions Between Order and Disorder (ARO ’06)

2005

  1. •Human Auditory Cortical Processing of Changes in Interaural Correlation (SFN ’05)

  2. •Simultaneous Encoding of Envelope and Fine Structure in Human Auditory Cortex (SFN ’05)

  3. •Magnetoencephalography (MEG) Response to Speech and Speech-like Modulations (SFN ’05)




  1. •Auditory Steady State Responses to Broadband Noise in Human Auditory Cortex (SFN ’05)





  1. •Measuring Brain Dynamics: Investigating Auditory Processing with Magnetoencephalography (SAIC Center for Advanced Materials and Nanotechnology ’05)

  2. •Measuring Brain Dynamics: Investigating Auditory Processing with Magnetoencephalography (Boston University Physics Colloquium ’05)

  3. •Two time scales in speech segmentation (CNS ’05)

  4. •Auditory steady state responses to AM-FM signals in human auditory cortex (CNS ’05)

  5. •Complex Valued Equivalent-Current Dipole Fits for MEG Responses (NE ’05)

  6. •MEG Responses to Speech and Stimuli With Speechlike Modulations (NE ’05)

  7. •MEG Adaptive Noise Suppression using Fast LMS (NE ’05)

  8. •Significance tests for MEG response detection (NE ’05)

  9. •Simultaneous Encoding for Envelope and Fine Structure in Human Auditory Cortex (COSYNE ’05)

  10. •Auditory Steady State Responses to Broadband Noise in Human Auditory Cortex (ARO ’05)

  11. •Phase Tracking of Slow and Fast Tone Sequences in Human Auditory Cortex (ARO ’05)

  12. •Human Auditory Cortical Sensitivity to Changes in Interaural Correlation (ARO ’05)

2004

  1. •Two time scales in Speech Segmentation (Montreal ’04)

  2. •Auditory Cortical Responses at 100 ms Post Onset are Modulated by Figure/Ground Status of the Stimulus (Montreal ’04)

  3. •Multi-Equivalent Dipole Fitting for Magnetoencephalography (BioScience ’04)

  4. •MEG Response to Speech and Stimuli with Complex Modulations (BioScience ’04)

  5. •Phase-locking in Human Auditory Cortex to Spectrotemporal Modulations (NIDCD Seminar ’04)

  6. •MEG Steady State Responses To Auditory Stimuli Of Varying Complexity (SFN ’04)

  7. •The M100 Auditory Evoked Field in Noise Stimuli: Indicator of Auditory Objectness? (SFN ’04)

  8. •Sound localization in the avian nucleus laminaris: a role for dendritic computation (ISN ’04)

  9. •Wavelet Analysis of MEG Auditory Response (MERIT ’04)

  10. •Cortical and sub-cortical mechanisms of binaural pitch processing: Evidence from MEG (Biomag ’04)

  11. •MEG Steady State Response to Broadband Sounds (Biomag ’04)

  12. •Periodic Noise Suppression for MEG Signals (Tech2004)

  13. •Application of Independent Component Analysis (ICA) on Magnetoencephalography (MEG) (Tech2004)

  14. •MEG Responses to Huggins Pitch - Time Course and Hemispheric Differences (ARO ’04)

  15. •Pressure vs. decibel modulation in spectrotemporal representations: How nonlinear are auditory cortical stimuli? (ARO ’04)

2003

  1. •Detection of interaural time differences in the alligator (SFN ’03)

  2. •The role of dendrites in binaural synaptic summation in avian Nucleus Laminaris (SFN ’03)

  3. •Electrophysiological correlates of Huggins pitch - An MEG investigation (SFN ’03)

  4. •Linearity and Temporal Symmetry in Primary Auditory Cortex (SFN ’03)

  5. •Spectro-Temporal Processing in Primary Auditory Cortex (CAFOS ’03)

  6. •Modeling Coincidence Detection in Nucleus Laminaris (MBI ’03)

  7. •A Biophysical Computational Model: How the brain localizes sounds (RRD ’03)

  8. •Binding Mechanisms in Speech Processing (CNS ’03)

  9. •On-Line Spectro-Temporal Receptive Fields in the Primary Auditory Cortex of the Behaving Ferret (ARO ’03)

  10. •The Columnar Organization of Ferret Primary Auditory Cortex (ARO ’03)

  11. •What does precise spiking in AI tell us about the structure of its receptive fields? (ARO ’03)

2002

  1. •Magnetoencephalography (MEG) at UMCP (BioScience ’02)

  2. •Signal Processing of Auditory Responses from Magnetoencephalography (MEG) (EMBS ’02)

  3. •Comparison of Response Characteristics in Auditory Cortex of the Awake and Anesthetized Ferret (ARO ’02)

2001

  1. •The Substrate For ITD Detection In The Emu (Dromaius Novaehollandiae) (SFN ’01)

  2. •Biophysical Model Of Coincidence Detection In Nucleus Laminaris Neurons (SFN ’01)

  3. •Computational Methods in Auditory Neuroscience (NIDCD-CEBH ’01)

  4. •Neural Constraints in Auditory Cortex (Telluride ’01)

  5. •Analysis of Evoked Potentials on the Surface of Primary Auditory Cortex Combining Ripples and ICA (ARO ’01)

2000

  1. •Complete training analysis of feedback architecture networks that perform blind source separation and deconvolution (ICA ’00)

  2. •High-Frequency Response Asymmetry to Auditory Stimuli of Varying Spectral Complexity in Humans (SFN ’00)

  3. •Spectro-Temporal Processing In Primary Auditory Cortex: Simplicity & Linearity (Paris ’00)

  4. •Intelligibility and Representation of Timbre in Primary Auditory Cortex (Utrecht ’00)

  5. •Cellular models of coincidence detection (ASA ’00)

  6. •Characterization of time-varying responses to dynamic broadband spectra in primary auditory cortex (ASA ’00)

  7. •Hemispheric Asymmetry of Gamma-Band Responses to Auditory Stimuli of Varying Spectral Complexity (CNS ’00)

  8. •Functional and Structural Implications of Non-Separability of Spectral and Temporal Responses in AI (ARO ’00)

1999

  1. •The Cochlear Nucleus of the Caiman (SFN ’99)

  2. •Neural Signal and Neural Noise in Primary Auditory Cortex (SFN ’99)

  3. •Spectro-Temporal Processing of Dynamic Broadband Sounds In Auditory Cortex (IMA ’99)

  4. •Linear and Non-Linear Responses to Dynamic Broad-Band Spectra in Primary Auditory Cortex (ARO ’99)

  5. •Biophysical model of coincidence detection in single Nucleus Laminaris neurons (ARO ’99)

1998

  1. •Representation Of Dynamic Broadband Spectra In Auditory Cortex (SFN ’98)

  2. •A Dendritic Model of Coincidence Detection in the Avian Brainstem (CNS ’98)

  3. •Spectro-Temporal Methods in Primary Auditory Cortex (ARO ’98)

1997

  1. •Representation of Complex Spectra in Auditory Cortex (SFN ’97)

  2. •Response-Field Dynamics in the Auditory Pathway (CNS ’97)

  3. •Neuronal correlates of pitch in the Inferior Colliculus (ARO ’97)

 

Meeting Abbreviations
ARO   Association for Research in Otolaryngology (Midwinter Meeting)
COSYNE   Computation and Systems Neuroscience
SFN    Society for Neuroscience Meeting
Biomag   Biomag Meeting
APAN    Advances and Perspectives in Auditory Neurophysiology
ASA   Acoustical Society of America Meeting
IHCON International Hearing Aid Research Conference
CIAP   Conference on Implantable Auditory Prostheses
NIPS   Neural Information Processing Systems
NAKFI   National Academies Keck Futures Initiative “The Informed Brain in a Digital World”
SNL   Society for the Neurobiology of Language
NLC   Neurobiology of Language Conference
ISMRM   International Society for Magnetic Resonance in Medicine Meeting
CRCNS   Collaborative Research in Computational Neuroscience Meeting
CNS    Computational Neuroscience or Cognitive Neuroscience Society Meeting
NAKFI    National Academies Keck Futures Initiative
NIDCD    National Institute for Deafness and Communication Disorders
NE   Neural Engineering
APS March   March meeting of the American Physical Society
ICA   Independent Component Analysis Meeting
ISN   International Society for Neuroethology Meeting
CAFOS   Chinese American Frontiers of Science Meeting
IMA    Institute for Mathematics and its Applications (Workshop in Audition)
MBI    Mathematical Biosciences Institute (Auditory System Workshop)
Telluride   Telluride Neuromorphic Engineering Workshop
Utrecht   The Nature of Speech Perception Meeting, Utrecht
Paris ’00   Selectivity of Neurons in Sensory and Motor Cortices: Static and Dynamic Properties Meeting, Paris
Paris ’06   Workshop on New Ideas in Hearing, Paris
Grantham ’06   International Conference on the Auditory Cortex, Grantham U.K.
Montreal ’04   Speech Separation and Comprehension in Complex Acoustic Environments, Montreal, Quebec
NIDCD-CEBH   UMCP joint meeting between NIDCD and CEBH
EMBS   IEEE EMBS (Baltimore)
Bioscience   BioScience Day (UMCP)
RRD   Research Review Day (UMCP)
Tech   Tech2004 day (UMCP)
Topics   Topics in Neuroscience Seminar (UMCP)
MERIT   Maryland Engineering Research Internship Teams (UMCP)
EAR   Eastern Auditory Retreat
NIMH EEG/MEG   NIMH Using EEG/ERP/MEG to Understand Neural Mechanisms and
   Treatment Effects in Mental Illness in Children and Adolescents
SBEC   Southern Biomedical Engineering Conference