Coincidence detection and spike regeneration in artificial neurons

A S Samardak; Stephen Taylor; Alain Nogaret; G Hollier; J Austin; I Farrer; D A Ritchie

doi:10.1002/pssa.200780156

Coincidence detection and spike regeneration in artificial neurons

A S Samardak, Stephen Taylor, Alain Nogaret, G Hollier, J Austin, I Farrer, D A Ritchie

Department of Physics

Research output: Contribution to journal › Article › peer-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.

Original language	English
Pages (from-to)	2651-2654
Number of pages	4
Journal	Physica Status Solidi A: Applications and Materials Science
Volume	205
Issue number	11
DOIs	https://doi.org/10.1002/pssa.200780156
Publication status	Published - 2007
Event	3rd International Conference on Micro-Nanoelectronics, Nanotechnology and MEMs - Athens, Greece Duration: 18 Nov 2007 → 21 Nov 2007

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10.1002/pssa.200780156

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title = "Coincidence detection and spike regeneration in artificial neurons",

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. ",

author = "Samardak, {A S} and Stephen Taylor and Alain Nogaret and G Hollier and J Austin and I Farrer and Ritchie, {D A}",

year = "2007",

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AU - Samardak, A S

AU - Taylor, Stephen

AU - Nogaret, Alain

AU - Hollier, G

AU - Austin, J

AU - Farrer, I

AU - Ritchie, D A

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - http://dx.doi.org/10.1002/pssa.200780156

U2 - 10.1002/pssa.200780156

DO - 10.1002/pssa.200780156

M3 - Article

SN - 0031-8965

VL - 205

SP - 2651

EP - 2654

JO - Physica Status Solidi A: Applications and Materials Science

JF - Physica Status Solidi A: Applications and Materials Science

IS - 11

T2 - 3rd International Conference on Micro-Nanoelectronics, Nanotechnology and MEMs

Y2 - 18 November 2007 through 21 November 2007

ER -

Coincidence detection and spike regeneration in artificial neurons

Abstract

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