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Bio‐Inspired Nano‐Sensor‐Enhanced CNN Visual Computer
Author(s) -
POROD WOLFGANG,
WERBLIN FRANK,
CHUA LEON O.,
ROSKA TAMÁS,
RODRIGUEZVÁZQUEZ ÁNGEL,
ROSKA BOTOND,
FAY PATRICK,
BERNSTEIN GARY H.,
HUANG YIHFANG,
CSURGAY ÁRPÁD I.
Publication year - 2004
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1305.011
Subject(s) - computer science , artificial intelligence , cellular neural network , convolutional neural network , intersection (aeronautics) , neuromorphic engineering , biomimetics , image processing , artificial neural network , engineering , image (mathematics) , aerospace engineering
A bstract : Nanotechnology opens new ways to utilize recent discoveries in biological image processing by translating the underlying functional concepts into the design of CNN (cellular neural/nonlinear network)‐based systems incorporating nanoelectronic devices. There is a natural intersection joining studies of retinal processing, spatio‐temporal nonlinear dynamics embodied in CNN, and the possibility of miniaturizing the technology through nanotechnology. This intersection serves as the springboard for our multidisciplinary project. Biological feature and motion detectors map directly into the spatio‐temporal dynamics of CNN for target recognition, image stabilization, and tracking. The neural interactions underlying color processing will drive the development of nanoscale multispectral sensor arrays for image fusion. Implementing such nanoscale sensors on a CNN platform will allow the implementation of device feedback control, a hallmark of biological sensory systems. These biologically inspired CNN subroutines are incorporated into the new world of analog‐and‐logic algorithms and software, containing also many other active‐wave computing mechanisms, including nature‐inspired (physics and chemistry) as well as PDE‐based sophisticated spatio‐temporal algorithms. Our goal is to design and develop several miniature prototype devices for target detection, navigation, tracking, and robotics. This paper presents an example illustrating the synergies emerging from the convergence of nanotechnology, biotechnology, and information and cognitive science.