Correlation entropy of synaptic input-output dynamics

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

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7 pages, 6 Figures (7 figure files)

Scientific paper

10.1103/PhysRevE.74.041909

The responses of synapses in the neocortex show highly stochastic and nonlinear behavior. The microscopic dynamics underlying this behavior, and its computational consequences during natural patterns of synaptic input, are not explained by conventional macroscopic models of deterministic ensemble mean dynamics. Here, we introduce the correlation entropy of the synaptic input-output map as a measure of synaptic reliability which explicitly includes the microscopic dynamics. Applying this to experimental data, we find that cortical synapses show a low-dimensional chaos driven by the natural input pattern.

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