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[HTML][HTML] Is there chaos in the brain? II. Experimental evidence and related models
H Korn, P Faure - Comptes rendus biologies, 2003 - Elsevier
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in
many other fields of science. Their results and main conclusions are reviewed in the light of …
many other fields of science. Their results and main conclusions are reviewed in the light of …
Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
I Tsuda - Behavioral and brain sciences, 2001 - cambridge.org
Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …
[KNJIGA][B] Complex systems: chaos and beyond: chaos and beyond: A constructive approach with applications in life sciences
Chaos in science has always been a fascinating realm since it challenges the usual
scientific approach of reductionism. While carefully distinguishing between complexity …
scientific approach of reductionism. While carefully distinguishing between complexity …
Hidden chaotic sets in a Hopfield neural system
MF Danca, N Kuznetsov - Chaos, Solitons & Fractals, 2017 - Elsevier
In this paper we unveil the existence of hidden chaotic sets in a simplified Hopfield neural
network with three neurons. It is shown that beside two stable cycles, the system presents …
network with three neurons. It is shown that beside two stable cycles, the system presents …
Chaos engineering and its application to parallel distributed processing with chaotic neural networks
K Aihara - Proceedings of the IEEE, 2002 - ieeexplore.ieee.org
Chaotic dynamics and its possible applications are considered from the viewpoint of
engineering. Various applications, even to consumer products such as household …
engineering. Various applications, even to consumer products such as household …
Domain-structured chaos in a Hopfield neural network
M Akhmet, EM Alejaily - International journal of bifurcation and …, 2019 - World Scientific
In this paper, we provide a new method for constructing chaotic Hopfield neural networks.
Our approach is based on structuring the domain to form a special set through the discrete …
Our approach is based on structuring the domain to form a special set through the discrete …
Completely reproducible description of digital sound data with cellular automata
M Wada, J Kuroiwa, S Nara - Physics Letters A, 2002 - Elsevier
A novel method of compressive and completely reproducible description of digital sound
data by means of rule dynamics of CA (cellular automata) is proposed. The digital data of …
data by means of rule dynamics of CA (cellular automata) is proposed. The digital data of …
Hopfield neuronal network of fractional order: A note on its numerical integration
MF Danca - Chaos, Solitons & Fractals, 2021 - Elsevier
In this paper, the commensurate fractional-order variant of an Hopfield neuronal network is
analyzed. The system is integrated with the ABM method for fractional-order equations …
analyzed. The system is integrated with the ABM method for fractional-order equations …
Generation of cyclic/toroidal chaos by Hopfield neural networks
M Akhmet, MO Fen - Neurocomputing, 2014 - Elsevier
We discuss the appearance of cyclic and toroidal chaos in Hopfield neural networks. The
theoretical results may strongly relate to investigations of brain activities performed by …
theoretical results may strongly relate to investigations of brain activities performed by …
Shunting inhibitory cellular neural networks with chaotic external inputs
MU Akhmet, MO Fen - Chaos: An Interdisciplinary Journal of Nonlinear …, 2013 - pubs.aip.org
Shunting inhibitory cellular neural networks with chaotic external inputs | Chaos: An
Interdisciplinary Journal of Nonlinear Science | AIP Publishing Skip to Main Content …
Interdisciplinary Journal of Nonlinear Science | AIP Publishing Skip to Main Content …