ADAPTIVE NEUROMORPHIC NEURON APPARATUS FOR ARTIFICIAL NEURAL NETWORKS

摘要

The present disclosure relates to a neuromorphic neuron apparatus comprising an output generation block and at least one adaptation block. The apparatus has a current adaptation state variable corresponding to previously generated one or more signals. The output generation block is configured to use an activation function for generating a current output value based on the current adaptation state variable. The adaptation block is configured to repeatedly: compute an adaptation value of its current adaptation state variable using the current output value and a correction function; use the adaption value to update the current adaptation state variable to obtain an updated adaptation state variable, the updated adaptation state variable becoming the current adaptation state variable; receive a current signal; and cause the output generation block to generate a current output value based on the current adaptation state variable and input value that obtained from the received signal.