Receptive field optimisation and supervi
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Cornelius Glackin; Liam Maguire; Liam McDaid; Heather Sayers
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Article
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2011
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Elsevier Science
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English
β 652 KB
This paper presents a supervised training algorithm that implements fuzzy reasoning on a spiking neural network. Neuron selectivity is facilitated using receptive fields that enable individual neurons to be responsive to certain spike train firing rates and behave in a similar manner as fuzzy member