BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - Matthew Kerr (CBL)
DTSTART:20170613T150000Z
DTEND:20170613T160000Z
UID:TALK73007@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:Matthew Kerr will cover:\n\n* The Code for Facial Identity in 
 the Primate Brain\n* Le Chang\, Doris Tsao\n* Cell (June 2017)\n* http://w
 ww.cell.com/cell/pdf/S0092-8674(17)30538-X.pdf\n\nAbstract:\nPrimates reco
 gnize complex objects such as faces with remarkable speed and reliability.
  Here\, we reveal the brain’s code for facial identity. Experiments in m
 acaques demonstrate an extraordinarily simple transformation between faces
  and responses of cells in face patches. By formatting faces as points in 
 a high-dimensional linear space\, we discovered that each face cell’s fi
 ring rate is proportional to the pro- jection of an incoming face stimulus
  onto a single axis in this space\, allowing a face cell ensemble to encod
 e the location of any face in the space. Using this code\, we could precis
 ely decode faces from neu- ral population responses and predict neural fir
 ing rates to faces. Furthermore\, this code disavows the long-standing ass
 umption that face cells encode specific facial identities\, confirmed by e
 ngineering faces with drastically different appearance that eli- cited ide
 ntical responses in single face cells. Our work suggests that other object
 s could be encoded by analogous metric coordinate systems.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
END:VEVENT
END:VCALENDAR
