Characterizing the firing properties of an adaptive analog VLSI neuron

Titelaufnahme

Titel
Characterizing the firing properties of an adaptive analog VLSI neuron
Verfasser
Ben Dayan Rubin, D. ; Chicca, Elisabetta ; Indiveri, G.
Enthalten in
Biologically Inspired Approaches to Advanced Information Technology, Jg. 3141, S. 189-200
Erschienen
2004
Sprache
Englisch
Dokumenttyp
Aufsatz in einer Zeitschrift
Schlagwörter
analog circuits / leaky Integrate-and-Fire neuron / VLSI
URN
urn:nbn:de:0070-pub-24265919
DOI
10.1007/978-3-540-27835-1_15

Zugriffsbeschränkung

Links

Dateien

Klassifikation

Abstract

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.

Inhalt

Statistik