CMOS and memristor-based neural network design for position detection

Proceedings of the IEEE

Volumn 100, Issue 6, 2012, Pages 2050-2060

  Ebong, Idongesit E ^a   Mazumder, Pinaki ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Neural network applications; neural networks; spike timing dependent plasticity (STDP); unsupervised learning; winner take all (WTA)

Indexed keywords

CMOS INTEGRATED CIRCUITS; MEMRISTORS; METALS; MOS DEVICES; NEURAL NETWORKS; NEURONS; OXIDE SEMICONDUCTORS; SIGNAL TO NOISE RATIO; UNSUPERVISED LEARNING;

COMPETITIVE LEARNING; COMPLEMENTARY METAL OXIDE SEMICONDUCTORS; HARDWARE NEURAL NETWORKS; NEURAL NETWORK APPLICATION; NEURAL NETWORK DESIGNS; PROCESSING ALGORITHMS; SPIKE TIMING DEPENDENT PLASTICITIES; WINNER TAKE ALLS;

INTEGRATED CIRCUIT DESIGN;

EID: 84861187747     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2011.2173089     Document Type: Conference Paper

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