Title
A Switched Capacitor Implementation Of The Generalized Linear Integrate-And-Fire Neuron
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 lkHz and occupies an area of 70um. by 70um.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5118221
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
mathematical model,switched capacitor,switches,neural nets,capacitors,silicon,si,semiconductor device modeling,cmos integrated circuits,neural network
Bursting,Computer science,Neuromorphic engineering,Electronic engineering,CMOS,Cmos process,Switched capacitor,Electronic circuit,Neuron,Artificial neural network
Conference
Citations 
PageRank 
References 
14
1.13
7
Authors
8
Name
Order
Citations
PageRank
Fopefolu O. Folowosele1151.85
Andre Harrison2164.34
Andrew S. Cassidy329017.54
Andreas G. Andreou4785159.22
Ralph Etienne-Cummings5822123.11
Stefan Mihalas610313.77
Ernst Niebur74369523.54
Tara Julia Hamilton818731.30