BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20181028T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260405T192555Z
UID:1537797600@ist.ac.at
DTSTART:20180924T160000
DTEND:20180924T170000
DESCRIPTION:Speaker: Wolf Singer\nhosted by Jozsef Csicsvari\nAbstract: The
  cerebral cortex can be considered as a delay coupled recurrent network th
 e nodes of which are feature selective and have a propensity to oscillate.
  Such networks engage in high dimensional non-linear dynamics that is char
 acterized by oscillatory activity in widely differing frequency ranges and
  transient changes in correlation structure. Analysis of massive parallel 
 recordings of neuronal responses in cat and monkey visual cortex suggests 
 that the cerebral cortex exploits the high dimensional dynamic space offer
 ed by recurrent networks for the encoding\, classification and storage of 
 information. Evidence is presented that the recurrent connections among co
 rtical neurons are susceptible to activity dependent modifications of thei
 r synaptic gain\, which allows the network to store priors about the stati
 stical contingencies of the outer world. Matching of sensory evidence with
  stored priors is associated with fast transitions towards substates of re
 duced dimensionality that are well classifiable. In addition the network d
 ynamics allow for the superposition and fast read out of information about
  sequentially presented stimuli\, facilitating the encoding and storage of
  information about sequences. It is proposed that computations in high dim
 ensional state space can account for the ultra-fast integration of sensory
  evidence with stored priors\, for the sparse encoding of the results of t
 his matching operation and subsequent classification by linear readout.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:arinya.eller@ist.ac.at
SUMMARY:Wolf Singer: The cerebral cortex\, a substrate for computing in hig
 h dimensional dynamic state space
URL:https://talks-calendar.ista.ac.at/events/706
END:VEVENT
END:VCALENDAR