Reverse flow neuron

Abstract

A neural network is provided for performing bi-directional signal transformations through a matrix of synapses by alternately sending and receiving signal vectors therethrough via switchable driver circuits. In the forward direction, the input signal is transformed according to the weighting elements of the synapses for providing an output signal. The drive direction of the switchable driver circuits may be reversed allowing the output signal to flow back through the same synapses thereby performing a reverse transformation, which may actually be an improved estimate of the original input signal. Sample and hold circuits are provided for latching the output signals of the switchable driver circuits back to the inputs thereof for repeated forward and reverse signal transformations until an acceptable transformation of the original input signal is realized, thereby achieving an improved estimate of the input signal and corresponding output transformation. More generally, a first input signal may be transformed in one direction through the synapses, while a second input signal, possibly independent and unrelated to the first input signal, may be reverse transformed in the opposite direction using the same synapses as the first direction.