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Coleman, Todd
Assistant Professor, Department of Computer and Electrical Engineering
B.S., University of Michigan
M.S., Massachusetts Institute of Technology
Ph.D., Massachusetts Institute of Technology
Research Areas
Information Theory, Communications, Networks, Operations Research, Computational Neuroscience
Network Information Theory:
- Developing theoretical limits of reliable communication for universal coding, wireless networks, and transmission of correlated sources across networks
- Constructing robust architectures and practical encoding/decoding algorithms that achieve reliable performance near the theoretical boundaries
Computational Neuroscience:
- Modeling dynamic representations between stimuli and neural activity in a canonical way, with measures of accuracy that can be quantified statistically
- Developing practical mixed-modality information fusion algorithms for neural signal analysis over varying time-scales
- Developing new algorithms and interfaces for neural prosthetics
Representative Publications
Omar, C.; Johnson, M.; Bretl, T.; Coleman, T. Policies for neural prosthetic control: Initial experiments with a text interface, In American Control Conference (ACC), Seattle WA, 2008.
Omar, C.; Johnson, M.; Bretl, T.; Coleman, T. Querying the user properly for high-performance brain-machine interfaces: recursive estimation, control, and feedback information-theoretic perspectives, In IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, NV, 2008.
Coleman, T. P.; Sarma, S. Modeling Neural Spiking with Point Processes Nonparametrically: A Convex Optimization Approach Computational and Systems Neuroscience (CoSyNe) 2007, Salt Lake City, Utah, Feb 22-25, 2007.
Jarzebowski, J. A.; Srinivasan, L.; Coleman, T. P. A Stochastic Control Approach to Variable Length Menus in P300 Neural Communication Prostheses. Society for Neuroscience Annual Meeting, San Diego, CA, Nov 3-7, 2007.
Coleman TP, Lee AH, Medard M, and Effros M. 2006. Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression. IEEE Transactions on Information Theory 52(8):3546-3561.
Coleman TP, and Medard M. 2004. A Distributed Scheme for Achieving Energy-Delay Tradeoffs with Multiple Service Classes over a Dynamically Varying Network. IEEE Journal on Selected Areas in Communications: Advanced Mobility Management and QoS Protocols for Wireless Internet 22(5):929-941.
Medard M, Huang J, Goldsmith AJ, Meyn SP, and Coleman T. 2004. Capacity of Time-Slotted ALOHA Packetized Mutiple-Access Systems Over the AWGN Channel. IEEE Transactions on Wireless Communications 3(2):486-499.
Additional Information
Related Research (By Area):
Cell Signaling and Communication
Computational Neuroscience
Neuroengineering
Contact information:
