Characterizing the firing properties of an adaptive analog VLSI neuron

Ben Dayan Rubin, D.; Chicca, Elisabetta; Indiveri, G.

Characterizing the firing properties of an adaptive analog VLSI neuron

Ben Dayan Rubin D, Chicca E, Indiveri G (2004)
Biologically Inspired Approaches to Advanced Information Technology 3141: 189-200.

Zeitschriftenaufsatz | Veröffentlicht | Englisch

Download

Characterizing_the_firing_properties_of_an_adaptive_analog_VLSI_neuron.pdf

DOI

https://doi.org/10.1007/978-3-540-27835-1_15

URN

urn:nbn:de:0070-pub-24265919

Autor*in

Ben Dayan Rubin, D.; Chicca, Elisabetta^UniBi ; Indiveri, G.

Einrichtung

Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > AG Neuromorphic Behaving Systems

Abstract / Bemerkung

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.

Stichworte

analog circuits; leaky Integrate-and-Fire neuron; VLSI

Erscheinungsjahr

2004

Zeitschriftentitel

Biologically Inspired Approaches to Advanced Information Technology

Band

3141

Seite(n)

189-200

Page URI

https://pub.uni-bielefeld.de/record/2426591

Zitieren

Ben Dayan Rubin D, Chicca E, Indiveri G. Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology. 2004;3141:189-200.

Ben Dayan Rubin, D., Chicca, E., & Indiveri, G. (2004). Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology, 3141, 189-200. https://doi.org/10.1007/978-3-540-27835-1_15

Ben Dayan Rubin, D., Chicca, Elisabetta, and Indiveri, G. 2004. “Characterizing the firing properties of an adaptive analog VLSI neuron”. Biologically Inspired Approaches to Advanced Information Technology 3141: 189-200.

Ben Dayan Rubin, D., Chicca, E., and Indiveri, G. (2004). Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology 3141, 189-200.

Ben Dayan Rubin, D., Chicca, E., & Indiveri, G., 2004. Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology, 3141, p 189-200.

D. Ben Dayan Rubin, E. Chicca, and G. Indiveri, “Characterizing the firing properties of an adaptive analog VLSI neuron”, Biologically Inspired Approaches to Advanced Information Technology, vol. 3141, 2004, pp. 189-200.

Ben Dayan Rubin, D., Chicca, E., Indiveri, G.: Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology. 3141, 189-200 (2004).

Ben Dayan Rubin, D., Chicca, Elisabetta, and Indiveri, G. “Characterizing the firing properties of an adaptive analog VLSI neuron”. Biologically Inspired Approaches to Advanced Information Technology 3141 (2004): 189-200.

Alle Dateien verfügbar unter der/den folgenden Lizenz(en):

Copyright Statement: