Biologically-inspired cellular machine architectures

Gary H. Bernstein, Leon O. Chua, Árpád L. Csurgay, Patrick Fay, Yih Fang Huang, Wolfgang Porod, Ángel Rodriguez-Vásquez, Botond Roska, Tamás Roska, Frank Werblin, Ákos Zarándy

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter describes an NBIC project that is supported through an Office of Naval Research Multidisciplinary University Research Initiative grant. This project presents an example illustrating the synergies emerging from the convergence of nanotechnology, biotechnology, information technology, and cognitive science. Next-generation CNN (Cellular Neural/Nonlinear Network) visual computers will be enhanced by nanoscale sensors, biologically-inspired circuitry, and new, wave-type computing principles. These new generations of systems will have the performance necessary for real-time applications in real-world environments, and they will aid human cognition.

Original languageEnglish
Title of host publicationManaging Nano-Bio-Info-Cogno Innovations
Subtitle of host publicationConverging Technologies in Society
PublisherSpringer Netherlands
Pages133-152
Number of pages20
ISBN (Print)1402041063, 9781402041068
DOIs
Publication statusPublished - Dec 1 2006

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ASJC Scopus subject areas

  • Materials Science(all)
  • Chemistry(all)

Cite this

Bernstein, G. H., Chua, L. O., Csurgay, Á. L., Fay, P., Huang, Y. F., Porod, W., Rodriguez-Vásquez, Á., Roska, B., Roska, T., Werblin, F., & Zarándy, Á. (2006). Biologically-inspired cellular machine architectures. In Managing Nano-Bio-Info-Cogno Innovations: Converging Technologies in Society (pp. 133-152). Springer Netherlands. https://doi.org/10.1007/1-4020-4107-1_10