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
Full text not available from this repository. (Request a copy)Abstract
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.
Item Type: | Book Section |
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Additional Information: | Book Subtitle: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | College of Arts and Sciences |
Depositing User: | Dr. Nooraini Yusoff |
Date Deposited: | 26 Oct 2014 03:04 |
Last Modified: | 26 Oct 2014 03:04 |
URI: | https://repo.uum.edu.my/id/eprint/12489 |
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