Coincidence detection and spike regeneration in artificial neurons

A. S. Samardak, S. Taylor, A. Nogaret, Garry Phillip Hollier, J. Austin, I. Farrer, D. A. Ritchie

Research output: Contribution to journalArticlepeer-review

Abstract

We report on a monolithic semiconductor device that computes the coincidence of time delayed electrical impulses and selectively regenerates those impulses that meet within 10 mu s of each other. We obtain pulse regeneration using the negative feedback of a tunnel device and demonstrate reliable pulse amplification using an external circuit. The device emulates biological neurons which detect correlations between spike trains in real time and are able to modify synaptic weights through spike timing dependent plasticity. (C) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Original languageEnglish
Pages (from-to)2651-2654
Number of pages4
JournalPhysica status solidi a-Applications and materials science
Volume205
Issue number11
DOIs
Publication statusPublished - Nov 2008

Keywords

  • CORTICAL NEURON
  • COMPUTATION
  • INTEGRATOR

Cite this