A CMOS implementation of FitzHugh-Nagumo neuron model

Author

Linares-Barranco, Bernabé ; Sánchez-Sinencio, Edgar ; Rodríguez-Vázquez, Angel ; Huertas, José L.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

26

Issue

7

fYear

1991

fDate

7/1/1991 12:00:00 AM

Firstpage

956

Lastpage

965

Abstract

A CMOS circuit that emulates the FitzHugh-Nagumo neuron model is introduced. A complete derivation of the neuron model is presented, starting with the description of the fundamental biological mechanisms involved in the living neural cell, followed by the mathematical model formulation extracted from these mechanisms. A circuit theory technique for obtaining a physical IC suitable circuit that emulates the derived mathematical equations is then presented, culminating with the presentation of experimental results on a chip fabricated in a 2-μm double-metal, double-poly CMOS process. It is emphasized that the FitzHugh-Nagumo model is very adequate for emulation of small biological systems. A reduced-complexity oscillatory model suitable for implementation of relatively large neural network architectures is also introduced with several corresponding CMOS realizations and measured results

Keywords

CMOS integrated circuits; brain models; equivalent circuits; neural nets; 2 micron; CMOS implementation; FitzHugh-Nagumo neuron model; biological mechanisms; circuit theory technique; double-metal; double-poly CMOS process; mathematical model formulation; monolithic IC; neural cell; neural network architectures; reduced-complexity oscillatory model; Biological system modeling; CMOS integrated circuits; CMOS process; Cells (biology); Circuit theory; Emulation; Equations; Mathematical model; Neurons; Semiconductor device modeling;

fLanguage

English

Journal_Title

Solid-State Circuits, IEEE Journal of

Publisher

ieee

ISSN

0018-9200

Type

jour

DOI

10.1109/4.92015

Filename

92015