An STDP training algorithm for a spiking neural network with dynamic threshold neurons

International Journal of Neural Systems

Volumn 20, Issue 6, 2010, Pages 463-480

  Strain, T J ^a   McDaid, L J ^a   McGinnity, T M ^a   Maguire, L P ^a   Sayers, H M ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

dynamic threshold neurons; SNNs; STDP; supervised learning

Indexed keywords

BREAST CANCER; DATA SETS; DYNAMIC THRESHOLD; HIDDEN LAYERS; LEARNING RULES; NETWORK LEVEL; SNNS; SPIKE TIMING DEPENDENT PLASTICITIES; SPIKING NEURAL NETWORKS; STDP; SUPERVISED TRAINING ALGORITHM; SYNAPTIC CONNECTIONS; THREE-LAYER; TRAINING ALGORITHMS; WISCONSIN;

ALGORITHMS; INTELLIGENT AGENTS; SUPERVISED LEARNING;

NEURAL NETWORKS;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LEARNING; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NONLINEAR SYSTEM; PHYSIOLOGY;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS;

EID: 78649706602     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065710002553     Document Type: Article

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