Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons

Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)

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Thomas Natschläger, Wolfgang Maass


We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such recurrent cir- cuits of spiking neurons have an inherent capability to carry out rapid computations on complex spike patterns, merging information contained in the order of spike arrival with previously acquired context information.