COGNITIVE NEURODYNAMICS TWO STRATEGIES NAVIGATION BEHAVIOR OF ORGANISMS
Cite this article as:
Tsukerman V. D., Yeremenko Z. S., Karimova О. V., Kulakov S. V., Sazykin А. А. COGNITIVE NEURODYNAMICS TWO STRATEGIES NAVIGATION BEHAVIOR OF ORGANISMS. Izvestiya VUZ. Applied Nonlinear Dynamics, 2011, vol. 19, iss. 6, pp. 96-108. DOI: https://doi.org/10.18500/0869-6632-2011-19-6-96-108
The conceptual model and computer simulations results of path integration in freescalable nonlinear oscillator neural networks with even cyclic inhibition (ECInetworks) are discussed in this paper. To estimate the phase shifting under input impact the ECInetworks contain two subsystems namely reference and information ones. The population of reference (nonencoding) oscillatory units has significant role in generation and stabilization of numerous time scales despite it don’t assist directly in the phase pattern encoding of input signals. Multifunctionality is the main characteristics of ensemble encoding of environment space because the same ensembles can encode (to present coherently) different events of environment space. It was experimentally shown that the highprecision frequencyphase mechanism in the frameworks of ensemble hypothesis can be used in navigation behavior.
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BibTeX
author = {V. D. Tsukerman and Z. S. Yeremenko and О. V. Karimova and S. V. Kulakov and А. А. Sazykin},
title = {COGNITIVE NEURODYNAMICS TWO STRATEGIES NAVIGATION BEHAVIOR OF ORGANISMS},
year = {2011},
journal = {Izvestiya VUZ. Applied Nonlinear Dynamics},
volume = {19},number = {6},
url = {https://old-andjournal.sgu.ru/en/articles/cognitive-neurodynamics-two-strategies-navigation-behavior-of-organisms},
address = {Саратов},
language = {russian},
doi = {10.18500/0869-6632-2011-19-6-96-108},pages = {96--108},issn = {0869-6632},
keywords = {Brain,hippocampus,navigation,Mathematical modeling,Neural networks,direction,rate,theta rhythm,gamma oscillations,phase,path integration.},
abstract = {The conceptual model and computer simulations results of path integration in freescalable nonlinear oscillator neural networks with even cyclic inhibition (ECInetworks) are discussed in this paper. To estimate the phase shifting under input impact the ECInetworks contain two subsystems namely reference and information ones. The population of reference (nonencoding) oscillatory units has significant role in generation and stabilization of numerous time scales despite it don’t assist directly in the phase pattern encoding of input signals. Multifunctionality is the main characteristics of ensemble encoding of environment space because the same ensembles can encode (to present coherently) different events of environment space. It was experimentally shown that the highprecision frequencyphase mechanism in the frameworks of ensemble hypothesis can be used in navigation behavior. }}