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
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;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176651
