A model of fuzzy coding in the vestibular system

Author

Paulin, Michael G.

Author_Institution

Dept. of Zoology, Otago Univ., Dunedin, New Zealand

fYear

1993

fDate

24-26 Nov 1993

Firstpage

228

Lastpage

231

Abstract

The spiking of a vestibular sensory neuron can be interpreted as an assertion about the kinematic state of the head. By defining firing times as fuzzy sets, these assertions can be defuzzified to give a standard filing time or firing: rate code. Firing time and firing rate are special cases of a rich language in which neural spikes can be interpreted using fuzzy membership functions. The Pacini-Kosko tracking filter, applied as a model of neural control of eye stabilization during head movements, illustrates fuzzy rules may be applied to fuzzy data to produce crisp behavior, and shows how the behavior of individual neurons in the brain may be understood using fuzzy theory

Keywords

bioelectric potentials; fuzzy set theory; mechanoception; neural nets; neurophysiology; physiological models; Pacini-Kosko tracking filter; eye stabilization; firing times; fuzzy coding model; fuzzy sets; head movements; kinematic state; neural spikes; rate code; vestibular sensory neuron; vestibular system; Brain modeling; Code standards; Filtering theory; Filters; Fuzzy control; Fuzzy sets; Fuzzy systems; Kinematics; Neurons; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on

Conference_Location

Dunedin

Print_ISBN

0-8186-4260-2

Type

conf

DOI

10.1109/ANNES.1993.323036

Filename

323036