Spiking neural network with lateral inhibition for reward-based associative learning
In this paper we propose a lateral inhibitory spiking neural network for reward-based associative learning with correlation in spike patterns for conflicting responses. The network has random and sparse connectivity, and we introduce a lateral inhibition via an anatomical constraint and synapse rein...
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Format: | Book Section |
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Springer International Publishing
2014
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Online Access: | http://repo.uum.edu.my/18762/ http://doi.org/10.1007/978-3-319-12637-1_41 |
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