BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - Flavia Mancini (Universi
 ty of Cambridge)
DTSTART:20190219T160000Z
DTEND:20190219T170000Z
UID:TALK120565@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Flavia Mancini will be presenting:\n\n• Brain signatures of 
 a multiscale process of sequence learning in humans\n\n • Maxime Maheu\,
  Stanislas Dehaene\, and Florent Meyniel\n\n• eLIFE 2019\n\n• https://
 elifesciences.org/articles/41541\n\n\nAbstract: Extracting the temporal st
 ructure of sequences of events is crucial for perception\, decision-making
 \, and language processing. Here\, we investigate the mechanisms by which 
 the brain acquires knowledge of sequences and the possibility that success
 ive brain responses reflect the progressive extraction of sequence statist
 ics at different timescales. We measured brain activity using magnetoencep
 halography in humans exposed to auditory sequences with various statistica
 l regularities\, and we modeled this activity as theoretical surprise leve
 ls using several learning models. Successive brain waves related to differ
 ent types of statistical inferences. Early post-stimulus brain waves denot
 ed a sensitivity to a simple statistic\, the frequency of items estimated 
 over a long timescale (habituation). Mid-latency and late brain waves conf
 ormed qualitatively and quantitatively to the computational properties of 
 a more complex inference: the learning of recent transition probabilities.
  Our findings thus support the existence of multiple computational systems
  for sequence processing involving statistical inferences at multiple scal
 es.
LOCATION:Cambridge University Engineering Department\, CBL\, BE4-38 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
END:VEVENT
END:VCALENDAR