Abstract
An adaptive version of the integrate and fireat-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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Bruckstein, A.M., Morf, M. & Zeevi, Y.Y. Demodulation methods for an adaptive neural encoder model. Biol. Cybern. 49, 45–53 (1983). https://doi.org/10.1007/BF00336927
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DOI: https://doi.org/10.1007/BF00336927