Demodulation methods for an adaptive neural encoder model.

A M Bruckstein; M Morf; Y Y Zeevi

doi:10.1007/bf00336927

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Demodulation methods for an adaptive neural encoder model.

A M Bruckstein·M Morf·Y Y Zeevi

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Abstract

An adaptive version of the integrate and fire-at-threshold model for the neural coding process is presented. The encoder transforms stimulus intensity information into sequences of identical membrane depolarization spikes, their times of occurrence defining a modulated point process. Several theoretical decoding schemes are then introduced and their performance analyzed. These implement simple, recursive parameter estimation algorithms and their output reproduces reliably; the encoded time-varying stimulus level.

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Animals Electric Stimulation Mathematics Membrane Potentials Models, Neurological Neurons Journal Article Research Support, Non-U.S. Gov't

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A M Bruckstein, M Morf, Y Y Zeevi. 1983. Demodulation methods for an adaptive neural encoder model.. https://doi.org/10.1007/bf00336927

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