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SUMMARY:How do brains encode facial expression movements? - Nick Furl
DTSTART:20111103T141500Z
DTEND:20111103T151500Z
UID:TALK34389@talks.cam.ac.uk
CONTACT:Marwa Mahmoud
DESCRIPTION:Nick Furl is a neuroscientist at the MRC Cognition and Brain S
 ciences Unit where he uses human brain imaging to investigate face percept
 ion. Recognition of facial expressions from dynamic stimuli presents a dif
 ficult computational problem and little is known about how the brain solve
 s it. Unfortunately\, prevailing theory considers almost entirely studies 
 using static photographs. Nick’s approach is to use video stimuli to exa
 mine how brain areas respond to facial movement information and to test ho
 w their responses relate to representations of facial expression categorie
 s. He will discuss previous neuroscience research on movement perception\,
  including his recent study showing that facial expression categories can 
 be decoded from movement-sensitive areas in the monkey brain. This raises 
 a hypothesis that these movement-sensitive areas recognise expression cate
 gories from motion cues. The next step is to quantify specific motion cues
  from video\, a field in which computer vision has already made much progr
 ess. These quantifications can then be related to imaging data to discover
  how the brain assembles motion information into representations of facial
  expression categories.
LOCATION:Rainbow Room (SS03)\, Computer Laboratory
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