Clustering predicts memory performance in networks of spiking and non-spiking neurons

Frontiers in Computational Neuroscience

Volumn 5, Issue , 2011, Pages

  Chen, Weiliang ^a,b   Maex, Reinoud ^a   Adams, Rod ^a   Steuber, Volker ^a   Calcraft, Lee ^a   Davey, Neil ^a  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

^b OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY   (Japan)

Author keywords

Associative memory; Connectivity; Learning; Non random graph; Perceptron; Small world network

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; MEMORY ARCHITECTURE; NEURONS; SMALL-WORLD NETWORKS;

ASSOCIATIVE MEMORY; CLUSTERING COEFFICIENT; CONNECTIVITY; LEARNING; LINEAR CORRELATION; MEMORY PERFORMANCE; NETWORK CONNECTIVITY; RANDOM GRAPHS;

NEURAL NETWORKS;

ASSOCIATIVE MEMORY; MEMORY; MODEL; NERVE CELL;

EID: 84959523691     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2011.00014     Document Type: Article

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