Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule

Mathematical Biosciences

Volumn 207, Issue 2, 2007, Pages 322-335

  Marinaro, Maria ^a,b,c,d   Scarpetta, Silvia ^a,b   Yoshioka, Mashaiko ^a,b  

^a UNIVERSITY OF SALERNO   (Italy)

^b INFN Gruppo coll Salerno   (Italy)

^c IIASS Istituto Italiano Alti Studi Scientifici Vietri   (Italy)

^d Unità CNISM di Salerno   (Italy)

Author keywords

Associative memory; Cortical networks; Learning; Oscillatory neural networks; Plasticity

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DATA STORAGE EQUIPMENT; FOURIER ANALYSIS; INVERSE PROBLEMS; ITERATIVE METHODS; NEURAL NETWORKS;

ASSOCIATIVE MEMORY; CORTICAL NETWORKS; OSCILLATORY NEURAL NETWORKS;

LEARNING SYSTEMS;

BRAIN; IMPRINTING; LEARNING; MEMORY; OSCILLATION;

ARTICLE; ASSOCIATIVE MEMORY; FOURIER TRANSFORMATION; HIPPOCAMPUS; LEARNING; NERVE CELL NETWORK; NERVE CELL PLASTICITY; OSCILLATION; PATTERN RECOGNITION; RECALL; SPATIAL DISCRIMINATION; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; FOURIER ANALYSIS; HIPPOCAMPUS; HUMANS; IMPRINTING (PSYCHOLOGY); INTERNEURONS; LEARNING; MEMORY; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURONAL PLASTICITY; NEURONS; PYRAMIDAL CELLS; SYNAPSES;

EID: 34248523850     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2006.10.001     Document Type: Article

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