Matthew Cook

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Cortical Computation

How does thinking work? How does the cortex compute? This is one of today's greatest mysteries in science. We do not yet know how to make machines do computations similar to the computations done with ease by animal brains. By experimenting with cortically inspired architectures, we hope to gain an understanding of how such computation can occur. One of our current directions is examining models similar to belief propagation on factor graphs, and how such models can be adapted to naturally solve learning and control problems of the sort that brains solve naturally.

Publications

2011

2010

  • Neftci, Emre and Chicca, Elisabetta and Cook, Matthew and Douglas, Rodney State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons, Iscas proceedings 2010, 2010

2009

  • Conradt, J. and Berner, R. and Cook, M. and Delbruck, T. An Embedded AER Dynamic Vision Sensor for Low-Latency Pole Balancing, IEEE Workshop on Embedded Computer Vision (ECV09), Kyoto, Japan, 2009
  • Conradt, J and Cook, M and Berner, R and Lichtsteiner, P and Douglas, RJ and Delbruck , T A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors, International Conference on Circuits and Systems (ISCAS) 781-785, 2009
  • Cook, M and Jug, F and Krautz, C Sharpening Projections, BMC Neuroscience, 10: (Suppl 1):P214, 2009
  • Cook, Matthew and Soloveichik, David and Winfree, Erik and Bruck, Jehoshua Programmability of Chemical Reaction Networks, Algorithmic Bioprocesses 543-584, 2009

2008

2006

  • Jiang, A. and Cook, M. and Bruck, J. Optimal Interleaving on Tori, SIAM Journal on Discrete Mathematics, 20:(4) 841-879, 2006
© 2012 Institut für Neuroinformatik