Recognition of abstract objects via neural oscillators: Interaction among topological organization, associative memory and gamma band synchronization

IEEE Transactions on Neural Networks

Volumn 20, Issue 2, 2009, Pages 316-335

  Ursino, Mauro ^a   Magosso, Elisa ^a   Cuppini, Cristiano ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Binding problem; Hebbian learning; Oscillatory networks; Synchronization and desynchronization; Topological maps

Indexed keywords

ABSTRACTING; ASSOCIATIVE PROCESSING; BRAIN; DATA STORAGE EQUIPMENT; EDUCATION; NEURAL NETWORKS;

ABSTRACT OBJECTS; ASSOCIATIVE MEMORIES; AUTO-ASSOCIATIVE MEMORIES; BINDING PROBLEM; COGNITIVE FUNCTIONS; COMMON FEATURES; DECISION NETWORKS; GAMMA BANDS; HEBBIAN LEARNING; NEURAL ACTIVITIES; NEURAL OSCILLATORS; OBJECT REPRESENTATIONS; OSCILLATION FREQUENCIES; OSCILLATORY NETWORKS; PERCEPTUAL PROCESSING; SENSITIVITY AND SPECIFICITIES; SIMILARITY PRINCIPLES; TOPOLOGICAL MAPS;

SYNCHRONIZATION;

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; CORTICAL SYNCHRONIZATION; DECISION MAKING; HUMAN; LEARNING; MEMORY; METHODOLOGY; NERVE CELL; NERVE CELL PLASTICITY; PHYSIOLOGY; SYNAPSE;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SIMULATION; CORTICAL SYNCHRONIZATION; DECISION MAKING; HUMANS; LEARNING; MEMORY; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; PATTERN RECOGNITION, AUTOMATED; SYNAPSES;

EID: 60849114402     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2006326     Document Type: Article

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