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SUMMARY:Towards a whole brain model of perceptual learning - Dr Aaron Seit
 z\, University of California\, Riverside
DTSTART:20170904T120000Z
DTEND:20170904T130000Z
UID:TALK74311@talks.cam.ac.uk
CONTACT:John Mollon
DESCRIPTION:A hallmark of modern perceptual learning is the nature to whic
 h learning effects are specific to the trained stimuli. Such specificity t
 o orientation\, spatial location and even eye of training (Karni and Sagi\
 , 1991)\, has been used as psychophysical evidence of neural basis of lear
 ning. However\, recent research shows that learning effects once thought t
 o be specific depend on subtleties of the training procedure (Hung and Sei
 tz\, 2014) and that within even a simple training task that there are mult
 iple aspects of the task and stimuli that are learned simultaneously (LeDa
 ntec\, Melton and Seitz\, 2012). Here\, I present recent results my from m
 y lab and others detailing some of the complexities of specificity and tra
 nsfer and suggest that learning on any task involves a broad network of br
 ain regions undergoing changes in representations\, readout weights\, deci
 sion rules\, feedback processes\, etc. However\, importantly\, that the di
 stribution of learning across the neural system depends upon the fine deta
 ils of the training procedure. I conclude with the suggestion that to adva
 nce our understanding of perceptual learning\, the field must move towards
  understanding individual\, and procedurally induced\, differences in lear
 ning and how multiple neural mechanisms may together underlie behavioral l
 earning effects.
LOCATION:Nick Mackintosh Seminar Room\, second floor\, Department of Psych
 ology\, Downing Site\, Cambridge
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