Demodulation methods for an adaptive neural encoder model |
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Authors: | A. M. Bruckstein M. Morf Y. Y. Zeevi |
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Affiliation: | 1. Stanford University, Stanford, CA, USA 2. Technion, Israel Institute of Technology, Haifa, Israel
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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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