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Power-Law Inter-Spike Interval Distributions Infer a Conditional Maximization of Entropy in Cortical Neurons

Figure 1

Schematic illustrations of the CMFE and neuronal responses.

(A) We regard a neuron as a stochastic spike generator to produce a random spike sequence, with ISIs determined by a conditional probability distribution for given rate parameter. The value of ξ is determined by synaptic input. (B) The CMFE solves a trade-off between the average energy consumption and the uncertainty of output spike trains at given firing rate ξ, where the former may be proportional to ξ and the latter to −logξ (upper). See Equations 9 and 10. The rate distribution is determined from the balance between the two (lower).

Figure 1

doi: https://doi.org/10.1371/journal.pcbi.1002461.g001