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Pair-associate learning with modulated spike-time dependent plasticity

We propose an associative learning model using reward modulated spike-time dependent plasticity in reinforcement learning paradigm. The task of learning is to associate a stimulus pair, known as the predictor−choice pair, to a target response.In our model, a generic architecture of neural network ha...

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Main Authors: Yusoff, Nooraini, Grüning, André, Notley, Scott
Other Authors: Villa, Alessandro E. P.
Format: Book Section
Published: Springer 2012
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/12489/
http://dx.doi.org/10.1007/978-3-642-33269-2_18
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spelling my.uum.repo.124892014-10-26T03:04:12Z http://repo.uum.edu.my/12489/ Pair-associate learning with modulated spike-time dependent plasticity Yusoff, Nooraini Grüning, André Notley, Scott QA76 Computer software We propose an associative learning model using reward modulated spike-time dependent plasticity in reinforcement learning paradigm. The task of learning is to associate a stimulus pair, known as the predictor−choice pair, to a target response.In our model, a generic architecture of neural network has been used, with minimal assumption about the network dynamics.We demonstrate that stimulus-stimulus-response association can be implemented in a stochastic way within a noisy setting.The network has rich dynamics resulting from its recurrent connectivity and background activity. The algorithm can learn temporal sequence detection and solve temporal XOR problem. Springer Villa, Alessandro E. P. Duch, Włodzisław Érdi, Péter Masulli, Francesco Palm, Günther 2012 Book Section PeerReviewed Yusoff, Nooraini and Grüning, André and Notley, Scott (2012) Pair-associate learning with modulated spike-time dependent plasticity. In: Artificial Neural Networks and Machine Learning – ICANN 2012. Lecture Notes in Computer Science, 7552 (7552). Springer, pp. 137-144. ISBN 978-3-642-33268-5 http://dx.doi.org/10.1007/978-3-642-33269-2_18 doi:10.1007/978-3-642-33269-2_18
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Yusoff, Nooraini
Grüning, André
Notley, Scott
Pair-associate learning with modulated spike-time dependent plasticity
description We propose an associative learning model using reward modulated spike-time dependent plasticity in reinforcement learning paradigm. The task of learning is to associate a stimulus pair, known as the predictor−choice pair, to a target response.In our model, a generic architecture of neural network has been used, with minimal assumption about the network dynamics.We demonstrate that stimulus-stimulus-response association can be implemented in a stochastic way within a noisy setting.The network has rich dynamics resulting from its recurrent connectivity and background activity. The algorithm can learn temporal sequence detection and solve temporal XOR problem.
author2 Villa, Alessandro E. P.
author_facet Villa, Alessandro E. P.
Yusoff, Nooraini
Grüning, André
Notley, Scott
format Book Section
author Yusoff, Nooraini
Grüning, André
Notley, Scott
author_sort Yusoff, Nooraini
title Pair-associate learning with modulated spike-time dependent plasticity
title_short Pair-associate learning with modulated spike-time dependent plasticity
title_full Pair-associate learning with modulated spike-time dependent plasticity
title_fullStr Pair-associate learning with modulated spike-time dependent plasticity
title_full_unstemmed Pair-associate learning with modulated spike-time dependent plasticity
title_sort pair-associate learning with modulated spike-time dependent plasticity
publisher Springer
publishDate 2012
url http://repo.uum.edu.my/12489/
http://dx.doi.org/10.1007/978-3-642-33269-2_18
_version_ 1644280925733781504
score 13.145126

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