Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83823
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Type: Conference paper
Title: Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit
Author: Rahimiazghadi, S.
Al-Sarawi, S.
Abbott, D.
Iannella, N.
Citation: Proceedings of the 2013 IEEE International Conference on Electronics, Circuits, and Systems, ICECS: pp.229-232
Publisher: IEEE
Publisher Place: USA
Issue Date: 2013
Series/Report no.: IEEE International Conference on Electronics, Circuits and Systems
ISBN: 9781479924523
Conference Name: IEEE International Conference on Electronics, Circuits, and Systems (20th : 2013 : Abu Dhabi, United Arab Emirates)
Statement of
Responsibility: 
Mostafa Rahimi Azghadi, Said Al-Sarawi, Derek Abbott, and Nicolangelo Iannella
Abstract: Previous studies show that the conventional pair-based form of STDP (PSTDP), is not able to account for many biological experiments including frequency-dependent pairing experiments performed in the visual cortex region of the brain. However, new improved synaptic plasticity rules, such as Triplet-based Spike Timing Dependent Plasticity (TSTDP), are capable of replicating many biological experiments outcomes including the results of the experiments carried out in the visual cortex. This paper proposes a programmable analog neuromorphic circuit, which is capable of reproducing pairing frequency experiments in the visual cortex. The circuit utilizes transistors working in their subthreshold region of operation. In addition, it implements a minimal model TSTDP learning rule, which needs a low number of transistors compared to its PSTDP circuit counterparts. These features result in low-power compact circuits that are suitable for large-scale VLSI implementations of Spiking Neural Networks (SNNs) with improved synaptic plasticity and learning capabilities.
Rights: ©2013 IEEE
RMID: 0020133903
DOI: 10.1109/ICECS.2013.6815396
Appears in Collections:Electrical and Electronic Engineering publications

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