Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination

PLoS Computational Biology

Volumn 11, Issue 7, 2015, Pages

  Thomas, Blake T ^a   Blalock, Davis W ^b   Levy, William B ^c  

^a Informed Simplifications   (United States)

^b Massachusetts Institute of Technology   (United States)

^c UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY EFFICIENCY; NETWORK LAYERS;

BI-DIRECTIONAL; INPUT PATTERNS; NEURAL CODE; NEURAL-NETWORKS; SIMILAR PATTERN; SINGLE LAYER; SYNAPTIC MODIFICATION; SYNAPTIC WEIGHT; SYNAPTOGENESIS; WEIGHT MODIFICATIONS;

ADAPTIVE ALGORITHMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COGNITION; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NERVOUS SYSTEM PARAMETERS; PRESYNAPTIC NERVE; SYNAPTIC POTENTIAL; SYNAPTIC SHEDDING; SYNAPTOGENESIS; ADAPTATION; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DISCRIMINATION LEARNING; HUMAN; NERVE CELL PLASTICITY; NERVOUS SYSTEM DEVELOPMENT; PHYSIOLOGY; SYNAPSE; SYNAPTIC TRANSMISSION;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; COMPUTER SIMULATION; DISCRIMINATION LEARNING; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEUROGENESIS; NEURONAL PLASTICITY; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 84938631403     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004299     Document Type: Article

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