Digital implementation of a virtual insect trained by spike-timing dependent plasticity

Integration, the VLSI Journal

Volumn 54, Issue , 2016, Pages 109-117

  Mazumder, P ^a   Hu, D ^a   Ebong, I ^a   Zhang, X ^b   Xu, Z ^b   Ferrari, S ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Neural network; Spike timing dependent plasticity

Indexed keywords

CMOS INTEGRATED CIRCUITS; HARDWARE; NEURAL NETWORKS; RECONFIGURABLE HARDWARE;

BIOLOGICAL NEURAL NETWORKS; DIGITAL IMPLEMENTATION; HARDWARE IMPLEMENTATIONS; NANO-SCALE CMOS; REALTIME PROCESSING; SPIKE TIMING DEPENDENT PLASTICITIES; SPIKING NEURAL NETWORK(SNN); TRAINING ALGORITHMS;

NEURONS;

EID: 84960920135     PISSN: 01679260     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vlsi.2016.01.002     Document Type: Article

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