[Illinois] Modeling and Decoding the Human Brain

By Jack Gallant

Psychology, University of California Berkeley, Berkeley, CA

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The second annual student-led IGERT Neuroengineering Symposium, to be held on June 28th, 2012, is a one day event is designed to highlight the growing neuroengineering presence at the University of Illinois Urbana-Champaign. In addition, we hope that the symposium will expose students, faculty, and guests to neuroengineering work being pioneered across the country. The symposium will highlight three key areas of neuroengineering: audio information processing, neuro-imaging, and brain-computer interfaces. Each of these areas will feature short presentations from University of Illinois faculty and one-hour presentations by invited speakers. An extended lunch break will showcase demonstrations from some of the University of Illinois laboratories, tours of a selection of Beckman Institute facilities, and a student poster session. This symposium is an open event; we are excited to welcome any and all who have an interest in neuroengineering or related fields.

(Source: http://igert.beckman.illinois.edu/symposium_12.html)


Jack Gallant is Professor of Psychology at the University of California at Berkeley, and is affiliated with the graduate programs in Bioengineering, Biophysics, Neuroscience and Vision Science. He received his Ph.D. from Yale University and did post-doctoral work at the California Institute of Technology and Washington University Medical School. His research program focuses on constructing quantitative computational models that accurately describe how the brain represents information during natural tasks, and how these representations are modulation by attention. One interesting application of this computational modeling approach is to decode information in the brain in order to reconstruct mental experiences. Because this computational framework can be used to understand and decode brain activity measured by different methods and in different modalities, it has many potential applications in science and technology.

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  • Jack Gallant (2012), "[Illinois] Modeling and Decoding the Human Brain ," http://nanohub.org/resources/14420.

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