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Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/74610

Type: Conference paper
Title: Efficient design of triplet based spike-timing dependent plasticity
Author: Rahimiazghadi, S.
Al-Sarawi, S.
Iannella, N.
Abbott, D.
Citation: Proceedings of the 2012 IEEE World Congress on Computational Intelligence, held in Brisbane, Queensland, 10-15 June, 2012; pp.1-7
Publisher: IEEE
Issue Date: 2012
Series/Report no.: IEEE International Joint Conference on Neural Networks (IJCNN)
ISBN: 9781467314886
Cover art
ISSN: 1098-7576
Conference Name: IEEE World Congress on Computational Intelligence (2012 : Brisbane, QLD)
Statement of
Responsibility: 
Mostafa Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella and Derek Abbott
Abstract: to play an important role in learning and the formation of computational function in the brain. The classical model of STDP which considers the timing between pairs of pre-synaptic and post-synaptic spikes (p-STDP) is incapable of reproducing synaptic weight changes similar to those seen in biological experiments which investigate the effect of either higher order spike trains (e.g. triplet and quadruplet of spikes) [1]–[3], or, simultaneous effect of the rate and timing of spike pairs [4] on synaptic plasticity. In this paper, we firstly investigate synaptic weight changes using a p-STDP circuit [5] and show how it fails to reproduce the mentioned complex biological experiments. We then present a new STDP VLSI circuit which acts based on the timing among triplets of spikes (t-STDP) that is able to reproduce all the mentioned experimental results. We believe that our new STDP VLSI circuit improves upon previous circuits, whose learning capacity exceeds current designs due to its capability of mimicking the outcomes of biological experiments more closely; thus plays a significant role in future VLSI implementation of neuromorphic systems.
Keywords: Communication; networking and broadcasting; components; circuits; devices and systems; computing and processing (hardware/software); engineered materials; dielectrics and plasmas; fields, waves and electronmagnetics; robotics and control systems
Rights: © Copyright 2012 IEEE - All rights reserved.
RMID: 0020121686
DOI: 10.1109/IJCNN.2012.6252820
Appears in Collections:Electrical and Electronic Engineering publications
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