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An Unpredictable-Dynamics Approach to Neural Intelligence
August 1991 (vol. 6 no. 4)
pp. 4-10
ASCII Text
x 
 
Michail Zak, "An Unpredictable-Dynamics Approach to Neural Intelligence," IEEE Intelligent Systems, vol. 6, no. 4, pp. 4-10, August, 1991.
 
 
BibTex
x
 
@article{ 10.1109/64.85916,
author = {Michail Zak},
title = {An Unpredictable-Dynamics Approach to Neural Intelligence},
journal ={IEEE Intelligent Systems},
volume = {6},
number = {4},
issn = {0885-9000},
year = {1991},
pages = {4-10},
doi = {http://doi.ieeecomputersociety.org/10.1109/64.85916},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - An Unpredictable-Dynamics Approach to Neural Intelligence
IS - 4
SN - 0885-9000
SP4
EP10
EPD - 4-10
A1 - Michail Zak,
PY - 1991
VL - 6
JA - IEEE Intelligent Systems
ER -
 

The theoretical basis for a dynamic neural network architecture that takes advantage of the notion of terminal chaos to process information in a way that is phenomenologically similar to brain activity is presented. The architecture exploits the phenomenology of nonlinear dynamic systems as an alternative to the traditional paradigm of finite-state machines. It is based on some effects of nonLipschitzian dynamics. The nonlinear phenomenon of terminal chaos and its relevance to brain activity are examined.

Citation:
Michail Zak, "An Unpredictable-Dynamics Approach to Neural Intelligence," IEEE Intelligent Systems, vol. 6, no. 4, pp. 4-10, Aug. 1991, doi:10.1109/64.85916
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