Bio-inspired nano-sensor-enhanced CNN visual computer

Annals of the New York Academy of Sciences

Volumn 1013, Issue , 2004, Pages 92-109

  Porod, Wolfgang ^a   Werblin, Frank ^b   Chua, Leon O ^b   Roska, Tamás ^b,d   Rodriguez Vázquez, Ángel ^e   Roska, Botond ^c   Fay, Patrick ^a   Bernstein, Gary H ^a   Huang, Yih Fang ^a   Csurgay, Árpád I ^a,d  

^a UNIVERSITY OF NOTRE DAME   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD UNIVERSITY   (United States)

^d PÁZMÁNY PÉTER CATHOLIC UNIVERSITY   (Hungary)

^e INSTITUTO DE MICROELECTRÓNICA DE SEVILLA   (Spain)

Author keywords

Analog and logical visual computing; Cellular neural nonlinear network (CNN); Feature and motion detection; Nanoscale optical infrared sensor; Retinal information processing; Target recognition and tracking; Wave computing

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOSENSOR; BIOTECHNOLOGY; COGNITION; COMPUTER; CONFERENCE PAPER; DEVICE; ELECTRONICS; IMAGE ENHANCEMENT; INFORMATION SCIENCE; NANOTECHNOLOGY; PHYSICS; ROBOTICS; TECHNOLOGY;

EID: 2942615333     PISSN: 00778923     EISSN: None     Source Type: Book Series    
DOI: 10.1196/annals.1305.011     Document Type: Conference Paper

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