Pulse-Density Modulation with an Ensemble of Single-Electron Circuits Employing Neuronal Heterogeneity to Achieve High Temporal Resolution

Abstract

We investigated the implications of static noises in a pulse-density modulator based on Vestibulo-ocular Reflex model. We constructed a simple neuromorphic circuit consisting of an ensemble of single-electron devices and confirmed that static noises (heterogeneity in circuit parameters) introduced into the network indeed played an important role in improving the fidelity with which neurons could encode signals whose input frequencies are higher than the intrinsic response frequencies of single neurons. Through Monte-Carlo based computer simulations, we demonstrated that the heterogeneous network could corectly encode signals with input frequencies as high as 1 GHz, twice the range for single (or a network of homogeneous) neurons.