Mathematical modeling for evolution of heterogeneous modules in the brain

Neural Networks

Volumn 62, Issue , 2015, Pages 3-10

  Yamaguti, Yutaka ^a   Tsuda, Ichiro ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Coupled oscillator; Evolution; Information flow; Modularity; Symmetry breaking; Transfer entropy

Indexed keywords

COUPLINGS; GENETIC ALGORITHMS; MAMMALS;

COUPLED OSCILLATORS; EVOLUTION; INFORMATION FLOWS; MODULARITY; SYMMETRY-BREAKING; TRANSFER ENTROPY;

DATA COMMUNICATION SYSTEMS;

ANALYTIC METHOD; ARTICLE; BRAIN; BRAIN ELECTROPHYSIOLOGY; ENTROPY; EVOLUTIONARY ALGORITHM; EVOLUTIONARY DEVELOPMENTAL BIOLOGY; GENETIC ALGORITHM; INFORMATION DISSEMINATION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; TRANSFER ENTROPY; ALGORITHM; ANIMAL; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; EVOLUTION; HUMAN; PHYSIOLOGY; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BIOLOGICAL EVOLUTION; BRAIN; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER);

EID: 84921371663     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2014.07.013     Document Type: Article

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