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Information-theoretic analysis of signal processing systems: application to neural coding

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2 Author(s)
Johnson, D.H. ; Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA ; Gruner, C.M.

We analyze the signal processing capabilities of a system given access to its inputs and outputs, but not assuming any special structure other than they are stochastic. The analysis techniques are based on information-theoretic distance measures and on empirical theories derived from work in universal signal processing. We apply our techniques to the analysis of single- and multi-neuron discharge patterns, finding that neurons can encode multiple attributes simultaneously and in a time-varying fashion

Published in:

Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on

Date of Conference:

16-21 Aug 1998