Temporal Differentiation and Violation of Time-Reversal Invariance in Neurocomputation of Visual Information

Abstract

Information-theoretic techniques have been employed to study the time-dependent connection strength of a three-layer feedforward neural network. The analysis shows (1) there is a natural emergence of time-dependent receptive field that performs temporal differentiation and (2) the result is shown to be a consequence of a mechanism based on violation of the time-reversal invariance in the visual information processing system. Both analytic and numerical studies are presented.