Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70775
Type: Conference paper
Title: Triplet-based spike-timing dependent plasticity in silicon
Author: Rahimiazghadi, S.
Kavehei, O.
Al-Sarawi, S.
Iannella, N.
Abbott, D.
Citation: Proceedings of the 21st Annual Conference of the Japanese Neural Network Society (JNNS), 15-17 December, 2011, Okinawa, Japan: pp.1-2
Publisher: JNNS
Publisher Place: online
Issue Date: 2011
Conference Name: Annual Conference of the Japanese Neural Network Society (21st : 2011 : Okinawa, Japan)
Statement of
Responsibility: 
Mostafa Rahimi Azghadi, Omid Kavehei, Said Al-Sarawi, Nicolangelo Iannella and Derek Abbott
Abstract: In this paper, we present a new triplet based STDP VLSI implementation, based on a previous published pair-based STDP circuit [1]. Simulation results illustrate that the proposed VLSI circuit can reproduce similar results to those observed in various physiological STDP experiments [2–4], while the traditional pair-based VLSI implementation fails to do so [2]
Keywords: Synaptic plasticity; spike timing dependentplasticity; spike triplet; VLSI Implementation
Rights: Copyright status unknown
RMID: 0020115850
Appears in Collections:Electrical and Electronic Engineering publications

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