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PubMed · 17026405

Fisher information for spike-based population decoding.

Taro Toyoizumi·Kazuyuki Aihara·Shun-ichi Amari
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Abstract

We evaluate the Fisher information of a population of model neurons that receive dynamical input and interact via spikes. With spatially independent threshold noise, the spike-based Fisher information that summarizes the information carried by individual spike timings has a particularly simple analytical form. We calculate the loss of information caused by abandoning spike timing and study the effect of synaptic connections on the Fisher information. For a simple spatiotemporal input, we derive the optimal recurrent connectivity that has a local excitation and global inhibition structure. The optimal synaptic connections depend on the spatial or temporal feature of the input that the system is designed to code.

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AlgorithmsElectrophysiologyModels, NeurologicalModels, StatisticalNeuronsPopulationStochastic ProcessesSynapsesJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

Taro Toyoizumi, Kazuyuki Aihara, Shun-ichi Amari. 2006-08-30. Fisher information for spike-based population decoding.. https://doi.org/10.1103/physrevlett.97.098102

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