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 Freeman that has locally stable dynamics but is globally chaotic. We show how we can discretize Freemans model using digital signal processing techniques, providing an alternative to the more conventional Runge-Kutta integration. This analysis leads to a direct mixed signal {analog amplitude/discrete time) implementation of the dynamical building block that simplifies the implementation of the interconnect. We present results of simulations and measurements obtained from a fabricated analog very large-scale integration (VLSI) chip. © 2001 IEEE.
Recommended Citation
J. C. Principe et al., "Design and Implementation of a Biologically Realistic Olfactory Cortex In Analog VLSI," Proceedings of the IEEE, vol. 89, no. 7, pp. 1030 - 1051, Institute of Electrical and Electronics Engineers, Jan 2001.
The definitive version is available at https://doi.org/10.1109/5.939813
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Analog vlsi implementation; Digital simulation models; Neural assemblies; Nonlinear dynamics
International Standard Serial Number (ISSN)
0018-9219
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2001
Comments
National Science Foundation, Grant ECS-9900394