Neuromorphic CMOS circuits implementing a novel neural segmentation model based on symmetric STDP learning

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 897-901

  Tovar, Gessyca Maria ^a   Fukuda, Eric Shun ^a,b   Asai, Tetsuya ^a   Hirose, Tetsuya ^a   Amemiya, Yoshihito ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ABS RESINS; ARTIFICIAL INTELLIGENCE; BASIC (PROGRAMMING LANGUAGE); COMPUTER NETWORKS; COMPUTER SIMULATION; INTEGRATED CIRCUITS; NETWORKS (CIRCUITS);

ADAPTIVE SYNAPSES; JOINT CONFERENCE;

NEURAL NETWORKS;

EID: 51749120135     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371077     Document Type: Conference Paper

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7. T. Asai, M. Ohtani, and H. Yonezu, "Analog MOS circuits for motion detection based on correlation neural networks," Japanese Journal of Applied Physics, vol. 38, no. 4B, pp. 2256-2261, 1999.