Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Alvarellos González, Alberto ^a   Pazos, Alejandro ^a   Porto Pazos, Ana B ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; COMPUTATIONAL METHODS; MULTILAYER NEURAL NETWORKS; MULTILAYERS;

ARTIFICIAL NEURONS; COMPUTATIONAL MODEL; CONNECTIONIST SYSTEMS; IDENTICAL SYSTEMS; NETWORK FUNCTIONS; ONE PARTS; PROBLEM RESOLUTION; SYNAPTIC POTENTIATION;

NEURONS;

ARTICLE; ARTIFICIAL CELL; ARTIFICIAL NEURAL NETWORK; ASTROCYTE; CELL INTERACTION; COMPUTER MODEL; GENETIC ALGORITHM; GLIA; INFORMATION PROCESSING; INTRACELLULAR SIGNALING; NERVE CELL; SIMULATION; SYNAPTIC POTENTIAL; ALGORITHM; BIOLOGICAL MODEL; BRAIN; CELL COMMUNICATION; HUMAN; NERVE CELL NETWORK; PHYSIOLOGY; SYNAPSE;

ALGORITHMS; ASTROCYTES; BRAIN; CELL COMMUNICATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPSES;

EID: 84862271561     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/476324     Document Type: Article

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