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SUMMARY:<b>The intrinsic properties of the brain: the resting state</b>
DTSTART:20100205T103000
DTSTAMP:20260428T033417Z
UID:28e630df62898a234d8f60fd8a442205da42b3756c9b81fe2b7d63b5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Gustavo Deco\, Institució Catalana de Recerca i Estudis Avan
 çats (ICREA)\, Barcelona\nA growing body of neuroimaging research has doc
 umented that\, in the absence of an explicit task\, the brain shows tempor
 ally coherent activity. This so-called "resting state" activity or\, more 
 explicitly\, the default-mode network has been associated with day dreamin
 g\, free association\, stream of consciousness or inner rehearsal in human
 s\, but similar patterns have also been found under anaesthesia and in mon
 keys. Spatio-temporal activity patterns in the default-mode network are bo
 th complex and consistent\, which raises the question whether they are the
  expression of an interesting cognitive architecture or the consequence of
  intrinsic network constraints. In numerical simulation we studied the dyn
 amics of a simplified cortical network using 38 noise-driven (Wilson-Cowan
 ) oscillators\, which in isolation remain just below their oscillatory thr
 eshold. Time delay coupling based on lengths and strengths of primate cort
 ico-cortical pathways leads to the emergence of two sets of 40 Hz oscillat
 ors. chng{The sets showed synchronisation that was anti-correlated at less
  than 0.1 Hz} across the sets in line with a wide range of recent experime
 ntal observations. Systematic variation of conduction velocity\, coupling 
 strength and noise level indicate a high sensitivity of emerging synchrony
  as well as simulated blood flow blood-oxygen-level-dependent (BOLD) on th
 e underlying parameter values. Optimal sensitivity was observed around con
 duction velocities of 1-2 m/s\, with very weak coupling between oscillator
 s. An additional finding was that the optimal noise level had a characteri
 stic scale indicating the presence of stochastic resonance\, which allows 
 the network dynamics to respond with high sensitivity to changes in diffus
 e feedback activity.
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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