Classifying patterns in a spiking neural network

22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings

Volumn , Issue , 2014, Pages 23-28

  Gardner, Brian ^a   Grüning, André ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INTELLIGENT AGENTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

INPUT PATTERNS; LEARNING RULES; NEURON MODEL; SPATIO TEMPORAL; SPIKING NEURAL NETWORKS; SPIKING PATTERNS; STOCHASTIC NEURON MODEL; TARGET RESPONSE;

NEURAL NETWORKS;

EID: 84961990434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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9. Brian Gardner and AndréGrüning. Learning temporally precise spiking patterns through reward modulated spike-timing-dependent plasticity. In Artificial Neural Networks and Machine Learning-ICANN 2013, pages 256-263. Springer, 2013.