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
 
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Autor*in
Ben Dayan Rubin, D.; Chicca, ElisabettaUniBi ; Indiveri, G.
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

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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. doi:10.1007/978-3-540-27835-1_15
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.
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2019-09-06T08:57:58Z
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