Decoding input signals in time domain--a model approach.

Jianfeng Feng; David Brown

doi:10.1023/b:jcns.0000025687.78916.5a

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PubMed · 15114048

Decoding input signals in time domain--a model approach.

Jianfeng Feng·David Brown

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Abstract

From an observation of efferent interspike intervals of a neuron, we consider how to decode the input temporal information. It is found that the integrate-and-fire model is blind in the temporal domain due to the fact that its efferent firing rate is independent of the input temporal frequency. The conclusion is then confirmed for the integrate-and-fire model with correlated inputs, with reversal potentials, with a nonlinear leakage and with a subthreshold oscillation. For the Hodgkin-Huxley model, however, in terms of efferent firing rates alone, it is possible to read out the input temporal information.

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Action Potentials Animals Excitatory Postsynaptic Potentials Humans Models, Neurological Neural Inhibition Neurons Reaction Time Synaptic Transmission Time Comparative Study Journal Article Research Support, Non-U.S. Gov't

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Jianfeng Feng, David Brown. Decoding input signals in time domain--a model approach.. https://doi.org/10.1023/b%3Ajcns.0000025687.78916.5a

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