Demodulation methods for an adaptive neural encoder model.

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.