?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+biologically+inspired+computational+model+of+the+Block+Copying+Task&rft.creator=Lan%2C+Tian&rft.creator=Arnold%2C+Michael&rft.creator=Sejnowski%2C+Terrence&rft.creator=Jabri%2C+Marwan&rft.subject=Machine+Learning&rft.subject=Neural+Nets&rft.description=We+present+in+this+paper+a+biologically+inspired+model+of+the+Basal+Ganglia+which+deals+with+Block+Copying+as+a+sequence+learning+task.+By+breaking+a+relatively+complex+task+into+simpler+operations+with+well-defined+skills%2C+an+approach+which+is+termed+as+a+skill-based+machine+design+is+used+in+the+device+of+computational+models+to+complete+such+tasks.+Basal+Ganglia+are+critically+involved+in+sensorimotor+control.+From+the+learning+aspects%2C+Actor-Critic+architectures+have+been+proposed+to+model+the+Basal+Ganglia+and+Temporal+difference+has+been+proposed+as+a+learning+algorithm.+The+model+is+implemented+and+simulation+results+are+presented+to+show+the+capability+of+our+model+to+successfully+complete+the+task.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Berthouze%2C+Luc&rft.contributor=Kozima%2C+Hideki&rft.contributor=Bullock%2C+Daniel&rft.contributor=Stojanov%2C+Georgi&rft.contributor=Balkenius%2C+Christian&rft.date=2003&rft.type=Conference+Poster&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3350%2F1%2FLan.pdf&rft.identifier=++Lan%2C+Tian+and+Arnold%2C+Michael+and+Sejnowski%2C+Terrence+and+Jabri%2C+Marwan++(2003)+A+biologically+inspired+computational+model+of+the+Block+Copying+Task.++%5BConference+Poster%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3350%2F