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SUMMARY:Large-scale integration of perceptual and predictive information i
 s encoded by non-oscillatory neural dynamics. - Dr Andrés Canales-Johnson
 \,Department of Psychology\, University of Cambridge
DTSTART:20241018T153000Z
DTEND:20241018T170000Z
UID:TALK220663@talks.cam.ac.uk
CONTACT:Sara Seddon
DESCRIPTION:The brain is characterized by extensive recurrent connectivity
  within and between areas. This recurrent connectivity enables various pat
 terns of arrhythmic (non-oscillatory) and rhythmic (oscillatory) neural ac
 tivity that are temporally coordinated between regions. What role do these
  distinct dynamics play in the large-scale integration of perceptual and p
 redictive information? In this talk\, I will discuss how information theor
 y combined with EEG\, ECoG\, and computational modelling can help us uncov
 er large-scale neural patterns of non-oscillatory activity during percepti
 on and prediction. In the first series of studies\, I will show how non-os
 cillatory rather than oscillatory dynamics encode perceptual and predictiv
 e information across sensory modalities in different species. In the secon
 d part\, I will discuss how non-oscillatory dynamics encode synergistic (c
 omplementary) rather than redundant (common) information between brain are
 as during visual and auditory predictive processing. These empirical and t
 heoretical observations will provide new insights into the functional role
  of non-oscillatory dynamics during the large-scale integration of percept
 ual and predictive information.
LOCATION:Ground Floor Lecture Theatre\, Department of  Psychology
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