Spiking Neurons in a Hierarchical Self-Organizing Map Model Can Learn to Develop Spatial and Temporal Properties of Entorhinal Grid Cells and Hippocampal Place Cells

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Pilly, Praveen K ^a   Grossberg, Stephen ^b  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ANIMAL CELL; ARTICLE; BRAIN REGION; CALCULATION; CELL MATURATION; CELL POPULATION; CONTROLLED STUDY; ENTORHINAL CORTEX; ENTORHINAL GRID CELL; GRIDPLACEMAP MODEL; HIPPOCAMPAL PLACE CELL; HIPPOCAMPUS; NERVE CELL; NERVE CELL EXCITABILITY; NONHUMAN; RAT; SIMULATION;

ANIMALS; ENTORHINAL CORTEX; HIPPOCAMPUS; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURONS; RATS; SPATIO-TEMPORAL ANALYSIS; THETA RHYTHM;

ANIMALIA; RATTUS;

EID: 84875955668     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0060599     Document Type: Article

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