Design and Implementation of Biologically Realistic Signal to Symbol Translators

Abstract

This paper 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 Freemann that has locally stable dynamics but is globally chaotic. We present results of simulations and measurements obtained from a fabricated analog VLSI chip.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412084

Entities

People

  • José Príncipe
  • Vitor Tavares

Organizations

  • University of Florida

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Amplitude
  • Brain
  • Cerebral Cortex
  • Computer Programming
  • Computers
  • Content Addressable Memory
  • Digital Computers
  • Dynamics
  • Engineering
  • Information Processing
  • Information Systems
  • Nonlinear Dynamics
  • Simulations
  • Translators

Readers

  • Computational Linguistics
  • Human-Computer Interaction (HCI).
  • Integrated Circuit Design and Technology.