Design and implementation of biologically realistic signal to symbol translators

Author

Principe, Jose C. ; Tavares, Vitor

Author_Institution

Computational NeuroEngineering Lab., Florida Univ., Gainesville, FL, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

4096

Abstract

Reviews the problem of translating signals into symbols preserving maximally the information contained in the signal time structure. In this context, we motivate the use of nonconvergent dynamics for the signal to symbol translator. We then describe a biologically realistic model of the olfactory system proposed by Walter Freeman (1975) that has locally stable dynamics but is globally chaotic. We present results of simulations and measurements obtained from a fabricated analog VLSI chip.

Keywords

VLSI; biocybernetics; brain models; chaos; chemioception; neural chips; neurophysiology; nonlinear dynamical systems; biologically realistic model; biologically realistic signal to symbol translators; brain dynamics; fabricated analog VLSI chip; globally chaotic; locally stable dynamics; nonconvergent dynamics; olfactory system; signal time structure; Biological system modeling; Biology computing; Brain modeling; Chaos; Information processing; Olfactory; Pulse measurements; Signal design; Signal processing; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1019755

Filename

1019755