Biologically realizable reward-modulated hebbian training for spiking neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 1780-1786

  Ferrari, Silvia ^a,b   Mehta, Bhavesh ^a   Di Muro, Gianluca ^a   VanDongen, Antonius M J ^a,b   Henriquez, Craig ^a,b  

^a DUKE UNIVERSITY   (United States)

^b Department of Mechanical Engineering ^*

Author keywords

[No Author keywords available]

Indexed keywords

ABS RESINS; IMAGE CLASSIFICATION; INTELLIGENT AGENTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROGRAMMING THEORY; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; BLUE LIGHTS; COMPUTATIONAL SPEEDS; HEBBIAN TRAININGS; IN SILICO; IN VITRO; NEURONAL NETWORKS; NOVEL ALGORITHMS; ON TIMES; SIGMOIDAL NEURAL NETWORKS; SPIKING NEURAL NETWORKS; SYNAPTIC WEIGHTS; TEMPORAL CODING; UNIVERSAL FUNCTIONS; XOR GATES;

NEURAL NETWORKS;

EID: 56349139220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634039     Document Type: Conference Paper

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