Tempotron-like learning with ReSuMe

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5164 LNCS, Issue PART 2, 2008, Pages 368-375

  Florian, Rǎzvan V ^a,b  

^a Center for Cognitive and Neural Studies Coneural   (Romania)

^b BABE BOLYAI UNIVERSITY   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

SUPERVISED LEARNING;

SHOW THROUGH; SPECIFIC PROBLEMS; SPIKE TRAIN; SPIKING NEURON;

NEURAL NETWORKS;

EID: 51849150736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87559-8_38     Document Type: Conference Paper

References (13)

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3. Ponulak, F.: ReSuMe - new supervised learning method for the spiking neural networks. Technical report, Institute of Control and Information Engineering, Poznań University of Technology, Poland (2005)
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13. Gütig, R., Sompolinsky, H.: Neural mechanisms of speech processing: time warp invariants in adaptive integration time. In: Cosyne 2008: Computational and Systems Neuroscience, p. 337 (2008)