A switched capacitor implementation of the generalized linear integrate-and-fire neuron

Fopefolu Folowosele, Andre Harrison, Andrew Cassidy, Andreas G. Andreou, Ralph Etienne-Cummings, Stefan Mihalas, Ernst Niebur, Tara Julia Hamilton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present the circuits and simulation results for a silicon neuron which is based on a modified version of the Mihalas-Niebur neural model [1]. This silicon neuron produces 15 of the 20 known neural spiking and bursting behaviors. It has low complexity and reliable matching and can thus be easily integrated into more complex neuromorphic systems. Implemented in a 0.15um 1.5V CMOS process, each neuron consumes about 7.5nW of power at 1kHz and occupies an area of 70um by 70um.

Original languageEnglish (US)
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages2149-2152
Number of pages4
DOIs
StatePublished - Oct 26 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: May 24 2009May 27 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
CountryTaiwan, Province of China
CityTaipei
Period5/24/095/27/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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