Unsupervised learning in reservoir computing: Modeling hippocampal place cells for small mobile robots

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5768 LNCS, Issue PART 1, 2009, Pages 747-756

  Antonelo, Eric A ^a   Schrauwen, Benjamin ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Place cells; Reservoir computing; Slow feature analysis

Indexed keywords

BOTTOM LAYERS; DISTANCE SENSORS; FEATURE ANALYSIS; HIPPOCAMPAL PLACE CELLS; PLACE CELL; PLACE CELLS; PROPOSED ARCHITECTURES; RESERVOIR COMPUTING; SELF-ORGANIZED FORMATION; SLOW FEATURE ANALYSIS; SPATIAL REPRESENTATIONS; THREE-LAYER; UPPER LAYER;

BACKPROPAGATION; BIOLOGICAL SYSTEMS; COMPUTER SCIENCE; HEMODYNAMICS; MAMMALS; MOBILE ROBOTS; NEURAL NETWORKS; WIRELESS NETWORKS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 70350580835     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04274-4_77     Document Type: Conference Paper

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