Faculty Directory

Simon, Jonathan

Simon, Jonathan

Professor
Electrical and Computer Engineering
The Institute for Systems Research
Biology
Brain and Behavior Institute
2145 A.V. Williams Building

Jonathan Simon's expertise is applied and theoretical neuroscience, with emphasis on auditory neuroscience. His research focuses on neural processing in the brain's auditory system, from specialized processing found only in humans (e.g., speech processing) to generalized processing found in most mammals, including auditory attention and sound localization. 

He earned his bachelors in physics from Princeton University, his doctorate in physics from the University of California, Santa Barbara, and did postdoctoral research in theoretical general relativity (University of Wisconsin-Milwaukee, and University of Maryland-College Park) before embracing the field of neuroscience. He joined the University of Maryland's Electrical and Computer Engineering Department in 2001, the Biology Department in 2002, and the Institute for Systems Research in 2013. Simon is co-director of the KIT-Maryland Magnetoencephalography Center, and of the Computational Sensorimotor Systems Laboratory (CSSL).

My broad research goal is to understand how the auditory cortex processes complex sounds such as speech and other natural sounds. Because of my focus on speech and higher order processing, my research uses human rather than animal subjects. To non-invasively record and analyze real-time neural processing in humans, I use magnetoencephalography (MEG), because of its high temporal resolution (milliseconds), reasonable spatial resolution (millimeters), and silent operation. My primary research topics address the question of how the brain turns sound into hearing (surprisingly, the objective sounds impinging upon our ears are not very tightly linked to what we hear). Neural computations employ algorithms developed and fine-tuned by millions of years of evolution. As such the computations are typically far beyond the capability of even the most advanced computers. But by identifying, understanding, and quantitatively characterizing the computations performed by the brain, it is possible to determine those algorithms. This computational level of understanding has great potential benefits to engineering applications (e.g. auditory-based identification methods, robust speaker identification, robust speech processing) as well as to health-related applications (hearing aids and cochlear implants that would actually function well in a noisy environment). The class of neural computations that use the temporal character of the sounds being processed—those for which time plays an important role—are the primary focus of my research. This includes the neural computations employed in the processing of rhythmic sounds, e.g., speech or simple repeating patterns, and in the disentanglement of an individual rhythmic sound from other competing sounds.

Some of my main research areas are: 

• Investigations of how the brain solves the “Cocktail Party” problem, i.e., how, in a crowded and noisy environment, we have the ability to hone in on a single auditory source (e.g. one person talking), while simultaneously suppressing all the remaining interfering sounds

• How the brain represents complex sounds such as human speech

• How the brain’s representations of complex sounds are built up from representations of much simpler building blocks (acoustic modulations)

• Advances in neural signal processing


Neuroscience Research

2018

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] [Daily Mail] [Eureka Alert] [Science Daily] [Neuroscience News] [Medical Xpress] [DoveMed] [Earth.com] [cnBeta][El Médico Interactivo] [Medical Xpress] [“Great Expectations” Dispatch]

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]

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]

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]

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]

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.[PDF] [PMC]

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]

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

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]

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]

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.

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.

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

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]

Presacco, A., J. Z. Simon and S. Anderson (2016) Evidence of Degraded Representation of Speechin 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]

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]

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]

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]

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]

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

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]

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

2014

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]

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]

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]

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

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]

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]

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]

Elhilali, M., S. Shamma, J. Z. Simon and J. B. Fritz (2013) A Linear System’s 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.

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]

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

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

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]

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]

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

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

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]

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]

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]

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
2008

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

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

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

2007

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] 

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]

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

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]

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]

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]

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] 

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.

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

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]

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]

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]

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

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

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]

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]

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]

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] 

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] 

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

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

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

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

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]

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

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]

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

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

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]

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]

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 Preprints

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

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

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

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

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

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

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

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

 

Physics Research

1997

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

1993

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

1992

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]

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

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

1991

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

1990

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

1989

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

1988

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

1986

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

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

1994

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

1992

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

 

 

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‘Priming’ helps the brain understand language even with poor-quality speech signals

New research published in PNAS shows word representations may provide some objective measures of speech comprehension.

New UMD Division of Research video highlights work of Simon, Anderson

The researchers use magnetoencephalography to understand and develop training for aging-related signal processing interactions between the ears and the brain.

Discovering a digital biomarker for post-stroke cognitive problems

Funding for a noninvasive, inexpensive screening tool that could predict persistent post-stroke cognitive difficulties.

2023 BBI Seed Grants Inspire New Interdisciplinary Collaborations

The six interdisciplinary teams will use state-of-the-art neuroscience tools to translate basic science research into real-world impact.

New robust and scalable computational methodology developed by UMD researchers helps identify directed connectivity within the brain

‘NLGC’ can be used with magnetoencephalography to better understand the neural mechanisms behind sensory processing.

Jonathan Simon gives keynote address at international cognitive hearing science conference

Simon spoke on “The progression of neural speech representations through auditory cortex and beyond, from acoustics to semantics.”

How does the brain turn heard sounds into comprehensible language?

$2.88M in NIH funding could lead to brain-aware, tunable hearing devices.

The brain makes sense of math and language in different ways

Distinct regions in the brain use their own neural pathways and networks to process either spoken math or language.

NIH grant furthers poststroke recovery research of Marsh, Simon

MEG scans will help determine the neurophysiologic effects of mindfulness training on subacute post-stroke depression and cognition.

Emerging from the fog: Little understood post-stroke cognitive issues verified

For the first time, researchers measure the physical evidence of diminished neural processing within the brain after a stroke.

New algorithms for estimating the latent dynamics underlying biological processes

Work by Miran, Presacco, Babadi, Simon, Fu and Marcus published in PLOS Computational Biology.

Behtash Babadi promoted to associate professor

Babadi has broad research interests in statistical and adaptive signal processing, neural signal processing, and systems neuroscience.

Brain and Behavior Initiative Hosts 3rd Annual Seed Grant Symposium

Researchers from across UMD convene to discuss the latest projects funded by BBI

AESoP symposium features speakers, organizers with UMD ties

The symposium highlights research on hearing, speech and language that makes use of novel EEG or MEG signal processing.

Simon invited speaker at implantable auditory prostheses conference

Simon spoke on how EEG and MEG successes may lead to neurophysiologically based speech perception measures.

BBI Announces FY19 Seed Grant Awards

Awarded proposals feature researchers from seven colleges and schools as well as three centers and institutes

Radio interview with Jonathan Simon on "the cocktail party problem"

BYUradio talks to Simon about where in the brain, and how quickly, neurons transition from processing the sound of speech to the language-based words of speech.

Stop—hey, what’s that sound?

New Maryland study explores how the sounds going into our ears become the words going through our brains.

Brain and Behavior Initiative (BBI) hosts Second Annual Seed Grant Symposium

The University’s Brain and Behavior Initiative (BBI) hosted its Second Annual Seed Grant Symposium on November 14, 2018 at Adele’s in the Stamp Student Union.

Maryland researchers awarded $1M DARPA Lagrange program cooperative agreement

Marcus, Fu, Simon and Babadi will build a scalable, risk-sensitive and real time optimization framework tailored to noninvasive neuroimaging data from the human brain.

Improving speech intelligibility testing with new EEG methods

Tests developed at KU Leuven and the University of Maryland could result in better diagnoses for patients with speech comprehension issues.

BBI affiliated faculty receive $8 million NIH grant to combat hearing loss in older people

Multidisciplinary research will examine strategies to improve communication challenges.

BBI Holds 2017 Seed Grant Symposium

Over 115 people attend symposium featuring work and accomplishments of BBI Seed Grant Awardees for FY16/FY17.

Researchers part of two NSF Neural & Cognitive Systems grants worth more than $1.2 million

The NSF awards have been issued to U.S. cross-disciplinary teams to conduct innovative research focused on neural and cognitive systems.

BBI FY17 Seed Grant Winners Announced

Nine projects selected for funding.

Simon is co-editor of new Springer auditory research book

The Auditory System at the Cocktail Party describes the mechanisms the auditory system employs to focus on specific sounds within a noisy environment.

NSF Science Now video features 'aging brain' research of Anderson, Simon and Presacco

Study is part of ongoing research into the so-called 'cocktail party problem.'

It’s not your ears, it’s your brain

UMD neuroscience research shows older adults’ brain processing contributes to diminished speech comprehension, even with normal hearing.

Simon delivers three invited lectures in China

Simon explained research into how continuous speech is represented in the human auditory cortex.

Jonathan Simon gives keynote speech at SPIRE workshop

Simon spoke on “Neural Representations of Speech, and Speech in Noise, in Human Auditory Cortex.”

Jonathan Simon is invited speaker at CHScom 2015

Professor speaks on "Neural Representations of the Cocktail Party in Human Auditory Cortex.”

Jonathan Simon wins $1.5M NIH NIDCD grant for 'auditory scene' research

Research will further understanding of how people focus on sounds in a noisy environment.

Jonathan Simon and UMB's Elliot Hong win Research and Innovation Seed Grant

The pair will investigate neural processing in schizophrenia patients with auditory hallucinations.

Jonathan Simon promoted to full professor

Simon's research focuses on neural processing in the brain's auditory system.

Simon, Ding publish research in NeuroImage

Noise severely disrupts the brain’s ability to extract speech under cochlear implant listening conditions