DocumentCode
2831690
Title
Hysteresis based neural oscillators for VLSI implementations
Author
Linares-Barranco, B. ; Sanchez-Sinencio, E. ; Rodriguez-Vázquez, A. ; Huertas, J.L.
Author_Institution
Texas A&M Univ., College Station, TX, USA
fYear
1991
fDate
11-14 Jun 1991
Firstpage
1465
Abstract
Four different hysteresis-based neural oscillator circuits are discussed. They differ basically, in the input/output relationship of the neuron: either a sharp transition between the on and off states, or a smooth sigmoidal one. Experimental results are given for the first circuit. The other three structures, which are modifications of the first one, are validated through computer circuit simulations. The use of the different structures is application dependent
Keywords
VLSI; digital simulation; neural nets; oscillators; VLSI implementations; computer circuit simulations; hysteresis-based neural oscillator circuits; input/output relationship; sharp transition; sigmoidal transition; Biological system modeling; Biology computing; Circuits; Equations; Frequency; Hysteresis; Neurons; Signal processing; Very large scale integration; Voltage-controlled oscillators;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176651
Filename
176651
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