Simon, Jonathan
Professor
Electrical and Computer Engineering
The Institute for Systems Research
Biology
Brain and Behavior Institute
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 Auditory Neural Systems Laboratory (CANSL).
‘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