Multifaceted aspects of chunking enable robust algorithms

Journal of Neurophysiology

Volumn 112, Issue 8, 2014, Pages 1849-1856

  Acuna, Daniel E ^a   Wymbs, Nicholas F ^b   Reynolds, Chelsea A ^c   Picard, Nathalie ^c   Turner, Robert S ^c   Strick, Peter L ^c   Grafton, Scott T ^b   Kording, Konrad P ^a  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Discrete sequence production; Learning; Memory

Indexed keywords

ALGORITHM; ARTICLE; BEHAVIOR; HAPLORHINI; HUMAN; LEARNING; MOTOR PERFORMANCE; NEUROSCIENCE; NONHUMAN; RESPONSE TIME; TASK PERFORMANCE; ANIMAL; BAYES THEOREM; BIOLOGICAL MODEL; MOVEMENT (PHYSIOLOGY); REACTION TIME;

ALGORITHMS; ANIMALS; BAYES THEOREM; HUMANS; MODELS, BIOLOGICAL; MODELS, NEUROLOGICAL; MOVEMENT; PRACTICE (PSYCHOLOGY); REACTION TIME;

EID: 84908065721     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00028.2014     Document Type: Article

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