Characterizing the firing properties of an adaptive analog VLSI neuron

Daniel Ben Rubin*, Elisabetta Chicca, Giacomo Indiveri

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

5 Citaten (Scopus)

Samenvatting

We describe the response properties of a compact, low power, analog circuit that implements a model of a leaky-Integrate & Fire (I&F) neuron, with spike-frequency adaptation, refractory period and voltage threshold modulation properties. We investigate the statistics of the circuit's output response by modulating its operating parameters, like refractory period and adaptation level and by changing the statistics of the input current. The results show a clear match with theoretical prediction and neurophysiological data in a given range of the parameter space. This analysis defines the chip's parameter working range and predicts its behavior in case of integration into large massively parallel very-large-scale-integration (VLSI) networks.

Originele taal-2English
TitelBiologically Inspired Approaches to Advanced Information Technology
RedacteurenAJ Ijspeert, M Murata, N Wakamiya
UitgeverijSpringer-Verlag Berlin Heidelberg
Pagina's189-200
Aantal pagina's12
ISBN van elektronische versie978-3-540-27835-1
ISBN van geprinte versie978-3-540-23339-8
DOI's
StatusPublished - 2004
Extern gepubliceerdJa
Evenement1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology - Lausanne, Switzerland
Duur: 29-jan-200430-jan-2004

Publicatie series

NaamLecture Notes in Computer Science
UitgeverijSpringer-Verlag Berlin Heidelberg
Volume3141
ISSN van geprinte versie0302-9743

Conference

Conference1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology
LandSwitzerland
StadLausanne
Periode29/01/200430/01/2004

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