Regular pulsing induced by noise in a monolithic semiconductor neuron

A S Samardak, Alain Nogaret, Stephen Taylor, N B Janson, A G Balanov, I Farrer, D A Ritchie

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We report on the stochastic dynamics of a semiconductor neuron that uses the non-linear conductances of modulation doped semiconductors to compute electrical spikes. This GaAs-based neuron has pn wires which propagate and delay electrical pulses and a soma which sums and regenerates pulses through the positive feedback of a quantum tunnel amplifier vertically integrated with the wire. The neuron exhibits the property of excitability: it responds with a spike to a perturbation that exceeds a certain threshold value, and remains silent if the perturbation is small. When exciting the neuron with a sub-threshold periodic signal, a superimposed random noise is shown to enhance the coherence of the output pulse train. We perform a systematic study of stochastic resonance and coherence resonance as a function of excitation parameters and analyze output spectra using statistical tools.
Original languageEnglish
Title of host publicationPhysics of Semiconductors
EditorsM J Caldas, N Studart
Place of PublicationMelville
PublisherAmerican Institute of Physics
Pages523-524
Number of pages2
Volume1199
Edition1
ISBN (Print)9780735407367
DOIs
Publication statusPublished - 2009
Event29th International Conference on Physics of Semiconductors - Rio de Janeiro, Brazil
Duration: 27 Jul 20081 Aug 2008

Publication series

NameAIP Conference Proceedings
PublisherAmerican Institute of Physics

Conference

Conference29th International Conference on Physics of Semiconductors
CountryBrazil
CityRio de Janeiro
Period27/07/081/08/08

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