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

摘要

We analyze the signal processing capabilities of a system givenaccess to its inputs and outputs, but not assuming any special structureother than they are stochastic. The analysis techniques are based oninformation-theoretic distance measures and on empirical theoriesderived from work in universal signal processing. We apply ourtechniques to the analysis of single- and multi-neuron dischargepatterns, finding that neurons can encode multiple attributessimultaneously and in a time-varying fashion