BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20210328T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20201025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260404T133133Z
UID:1613138400@ist.ac.at
DTSTART:20210212T150000
DTEND:20210212T160000
DESCRIPTION:Speaker: Brad Wyble\nhosted by Andrew Saxe\nAbstract: The eyes 
 send a continuous stream of about two million nerve fibers to the brain\, 
 but only a fraction of this information is stored as visual memories.  Th
 is talk will detail three neurocomputational models that attempt an unders
 tanding how the visual system makes on-the-fly decisions about how to enco
 de that information.  First\, the STST family of models (Bowman & Wyble 2
 007\; Wyble\, Potter\, Bowman & Nieuwenstein 2011) proposes mechanisms for
  temporal segmentation of continuous input.  The conclusion of this work 
 is that the visual system has mechanisms for rapidly creating brief episod
 es of attention that highlight important moments in time\, and also separa
 tes each episode from temporally adjacent neighbors to benefit learning. 
 Next\, the RAGNAROC model (Wyble et al. 2019) describes a decision process
  for determining the spatial focus (or foci) of attention in a spatiotopic
  field and the neural mechanisms that provide enhancement of targets and s
 uppression of highly distracting information.  This work highlights the i
 mportance of integrating behavioral and electrophysiological data to provi
 de empirical constraints on a neurally plausible model of spatial attentio
 n. The model also highlights how a neural circuit can make decisions in a 
 continuous space\, rather than among discrete alternatives. Finally\, the
  binding pool  (Swan & Wyble 2014\; Hedayati\, O’Donnell\, Wyble in Pre
 p) provides a mechanism for selectively encoding specific  attributes (i.
 e. color\, shape\, category) of a visual object to be stored in a consolid
 ated memory representation.  The binding pool is akin to a holographic me
 mory system that layers representations of select latent representations c
 orresponding to different attributes of a given object.  Moreover\, it ca
 n bind features into distinct objects by linking them to token placeholder
 s. Future work looks toward combining these models into a coherent framew
 ork for understanding the full measure of on-the-fly attentional mechanism
 s and how they improve learning.
LOCATION:Online\, ISTA
ORGANIZER:
SUMMARY:Brad Wyble: The When\, Where and What of  visual memory formation
URL:https://talks-calendar.ista.ac.at/events/3063
END:VEVENT
END:VCALENDAR