Regular pulsing induced by noise in a monolithic semiconductor neuron

Reference:

Samardak, A. S., Nogaret, A., Taylor, S., Janson, N. B., Balanov, A. G., Farrer, I. and Ritchie, D. A., 2009. Regular pulsing induced by noise in a monolithic semiconductor neuron. In: Caldas, M. J. and Studart, N., eds. Physics of Semiconductors. Vol. 1199. Melville: American Institute of Physics, pp. 523-524. (AIP Conference Proceedings)

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Official URL:

http://dx.doi.org/10.1063/1.3295539

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.

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