Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus

Neural Networks

Volumn 19, Issue 5, 2006, Pages 547-563

  Wu, Zhihua ^a   Yamaguchi, Yoko ^a,b  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

Constant total synaptic weight; Hippocampal model; One trial learning; Running velocity; Sequence of place fields; Theta phase precession

Indexed keywords

COMPUTER SIMULATION; INFORMATION ANALYSIS; LAWS AND LEGISLATION; PLASTICITY;

CONSTANT TOTAL SYNAPTIC WEIGHT; HIPPOCAMPAL MODEL; ONE-TRIAL LEARNING; RUNNING VELOCITY; SEQUENCE OF PLACE FIELDS; THETA PHASE PRECESSION;

NEURAL NETWORKS;

ARTICLE; HIPPOCAMPUS; HOMEOSTASIS; LEARNING; MATHEMATICAL ANALYSIS; NERVE CELL; PLASTICITY; PRIORITY JOURNAL;

ACTION POTENTIALS; ANIMALS; HIPPOCAMPUS; MATHEMATICS; MENTAL RECALL; NERVE NET; NEURAL NETWORKS (COMPUTER); RATS; SERIAL LEARNING; SYNAPSES; TIME FACTORS;

EID: 33745726913     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.048     Document Type: Article

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