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SUMMARY:The neural code and knowledge representation: a bridge too far? - 
 Dr Peter Foldiak\, St Andrews University
DTSTART:20090306T130000Z
DTEND:20090306T140000Z
UID:TALK16968@talks.cam.ac.uk
CONTACT:John Mollon
DESCRIPTION:The question of how activity patterns of neurons represent obj
 ects in the world has so far mainly been addressed by asking the question 
 of how the identity of stimuli can be decoded from the neural signals. How
 ever\, an even more interesting question is how the structure of the relat
 ionships between items and categories can be represented in a sparse and e
 xplicit neural code. The duality between "sets of objects" and "sets of fe
 atures" have been extensively studied by the field of lattice theory calle
 d "Formal Concept Analysis" (FCA). FCA is proposed as a useful method for 
 analysing a neural code because of this explicit structure. Examples from 
 monkey inferotemporal cortex will be presented. Some possible practical co
 mputational applications for categorisation and semantic memory systems wi
 ll be discussed.
LOCATION:Kenneth Craik Room\, Craik-Marshall Building\, Downing Site
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