Space coding for sensorimotor transformations can emerge through unsupervised learning

Cognitive Processing

Volumn 13, Issue 1 SUPPL, 2012, Pages

  De Filippo De Grazia, Michele ^a   Cutini, Simone ^a   Lisi, Matteo ^a   Zorzi, Marco ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Gain modulation; Generative model; Neural network; Parietal cortex; Sensorimotor transformations

Indexed keywords

ARTICLE; LEARNING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NONLINEAR SYSTEM; POSTERIOR PARIETAL CORTEX; PRIORITY JOURNAL; RECEPTIVE FIELD; SENSORIMOTOR FUNCTION; SENSORIMOTOR INTEGRATION; SENSORIMOTOR TRANSFORMATION; SPATIAL ORIENTATION; VISUAL FIELD; VISUAL INFORMATION; VISUAL STIMULATION; VISUOMOTOR COORDINATION; BIOLOGICAL MODEL; BODY POSTURE; BRAIN MAPPING; CYTOLOGY; DEPTH PERCEPTION; HUMAN; NERVE CELL; PARIETAL LOBE; PHYSIOLOGY; VISUAL SYSTEM;

BRAIN MAPPING; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURONS; PARIETAL LOBE; POSTURE; SPACE PERCEPTION; VISUAL PATHWAYS;

EID: 84872812480     PISSN: 16124782     EISSN: 16124790     Source Type: Journal    
DOI: 10.1007/s10339-012-0478-4     Document Type: Article

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