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Type: Conference paper
Title: Design and implementation of BCM rule based on spike-timing dependent plasticity
Author: Rahimiazghadi, S.
Al-Sarawi, S.
Iannella, N.
Abbott, D.
Citation: Proceedings of the International Joint Conference on Neural Networks, held in Brisbane, 10-15 June, 2012: pp.1-7
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
Series/Report no.: IEEE International Joint Conference on Neural Networks (IJCNN)
ISBN: 9781467314886
ISSN: 1098-7576
Conference Name: International Joint Conference on Neural Networks (2012 : Brisbane, QLD)
Statement of
Mostafa Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella and Derek Abbott
Abstract: The Bienenstock-Cooper-Munro (BCM) and Spike Timing-Dependent Plasticity (STDP) rules are two experimentally verified form of synaptic plasticity where the alteration of synaptic weight depends upon the rate and the timing of pre- and postsynaptic firing of action potentials, respectively. Previous studies have reported that under specific conditions, i.e. when a random train of Poissonian distributed spikes are used as inputs, and weight changes occur according to STDP, it has been shown that the BCM rule is an emergent property. Here, the applied STDP rule can be either classical pair-based STDP rule, or the more powerful triplet-based STDP rule. In this paper, we demonstrate the use of two distinct VLSI circuit implementations of STDP to examine whether BCM learning is an emergent property of STDP. These circuits are stimulated with random Poissonian spike trains. The first circuit implements the classical pair-based STDP, while the second circuit realizes a previously described triplet-based STDP rule. These two circuits are simulated using 0.35 μm CMOS standard model in HSpice simulator. Simulation results demonstrate that the proposed triplet-based STDP circuit significantly produces the threshold-based behaviour of the BCM. Also, the results testify to similar behaviour for the VLSI circuit for pair-based STDP in generating the BCM.
Keywords: Communication; networking and broadcasting; components; circuits; devices and systems; computing and processing; engineered materials; dielectrics and plasmas; fields, waves and electromagnetics; robotics and control systems
Rights: © Copyright 2012 IEEE - All rights reserved.
RMID: 0020121683
DOI: 10.1109/IJCNN.2012.6252778
Appears in Collections:Electrical and Electronic Engineering publications

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