LAYOUT DESIGN OF A SYNAPTIC INPUT WITH DIGITALLY CONTROLLED WEIGHT COEFFICIENTS FOR A HARDWARE IMPLEMENTATION OF AN ARTIFICIAL SPIKING NEURON

Abstract

The layout design of a synaptic input with digitally controlled synaptic weight coefficients is presented as a building component of a spiking neuron hardware implementation. The de-sign is based on Leaky Integrate-and-Fire model of an artificial spiking neuron. The com-pact-sized layout is obtained using EDA tool with all necessary physical verifications ful-filled at every design stage. Layout versus schematic check and the simulation of signal waveforms at ports are performed based on the extracted netlist to validate the design.