Neuroscience Program
Todd P. Coleman
Assistant Professor
I am an Assistant Professor in the Department of Electrical Engineering and the Neuroscience Program at the University of Illinois. I hold B.S. degrees in electrical engineering and computer engineering from Michigan (GO BLUE), as well as M.S. and Ph.D. degrees in electrical engineering from MIT. I joined the faculty at U. Illinois in Fall 2006. Beginning Fall 2009, I have served as a co-Principal Investigator on an NSF IGERT interdisciplinary training grant for graduate students, titled "Neuro-engineering: A Unified Educational Program for Systems Engineering and Neuroscience".
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Research Interests:
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Information Theory of Timing Channels
- capacity of queuing timing channels
- practical error-correcting codes for queuing timing channels
- information theoretic security for timing channels
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Intersection between Information Theory and Statistics
- development of information-theoretically inspired statistical measures of causality in simultaneously recorded data sets
- representation of mutual information in terms of posterior information gain in "E-type" channels (additive noise channels induced by an exponential family of distributions)
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Statistical Signal Processing of Neural Signals
- EEG-based statistical signal processing for brain machine interfaces
- statistical inference in point process models of how information is encoded in neural spike trains
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Intersection of Feedback Information Theory and Decentralized Control
- understanding sequential decision making and active learning from the lens of feedback information theory
- examining the role of reversible Markov chains in feedback information theory and decentralized control
- interpretation of optimal feedback information-theoretic schemes from stochastic control and dynamical systems viewpoints
- application of feedback information theory and decentralized control to the design high-performance brain-machine interfaces