DocumentCode
285323
Title
Single neuron chaos
Author
Szu, Harold ; Rogers, George
Author_Institution
NSWC, White Oak, MD, USA
Volume
3
fYear
1992
fDate
7-11 Jun 1992
Firstpage
103
Abstract
Single neuron dynamics can be mathematically modeled to include chaotic dynamics. On the basis of the model of W.S. McCullouch and W. Pitts (1943), it is shown that the output-input slope is closely related to the standard quadratic map of Feigenbaum. A nonlinear mapping of the threshold function consisting of two degrees of dynamic freedom is adopted to accommodate the refractory and replenishment periods of an axon hillock. By including a third degree of freedom that obeys the quadratic map of Feigenbaum and functions as an internal source term, the final neuron output can produce pulses with a deterministic chaos that depends on the input level
Keywords
cellular biophysics; chaos; neural nets; neurophysiology; physiological models; axon hillock; chaotic dynamics; neuron dynamics; output-input slope; quadratic map; refractory period; replenishment periods; single neuron chaos; threshold function; Biological neural networks; Biological system modeling; Chaos; Chaotic communication; Logic; Mathematical model; Nerve fibers; Neurons; Pattern recognition; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.227192
Filename
227192
Link To Document