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DTSTART:20210328T030000
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BEGIN:VEVENT
DTSTAMP:20260404T064822Z
UID:1614952800@ist.ac.at
DTSTART:20210305T150000
DTEND:20210305T160000
DESCRIPTION:Speaker: Timothy O'Leary\nhosted by Andrew Saxe\nAbstract: Duri
 ng learning\, populations of neurons alter their connectivity and activity
  patterns\, enabling the brain to construct a model of the external world.
  Conventional wisdom holds that the durability of a such a model is reflec
 ted in the stability of neural responses and the stability of synaptic con
 nections that form memory engrams. However\, recent experimental findings 
 have challenged this idea\, revealing that neural population activity in c
 ircuits involved in sensory perception\, motor planning and spatial memory
  continually change over time during familiar behavioural tasks. This cont
 inual change suggests significant redundancy in neural representations\, w
 ith many circuit configurations providing equivalent function. I will desc
 ribe recent work that explores the consequences of such redundancy for lea
 rning and for task representation. Despite large changes in neural activit
 y\, we find cortical responses in sensorimotor tasks admit a relatively st
 able readout at the population level. Furthermore\, we find that redundanc
 y in circuit connectivity can make a task easier to learn and compensate f
 or deficiencies in biological learning rules. Finally\, if neuronal connec
 tions are subject to an unavoidable level of turnover\, the level of plast
 icity required to optimally maintain a memory is generally lower than the 
 total change due to turnover itself\, predicting continual reconfiguration
  of an engram.
LOCATION:Online\, ISTA
ORGANIZER:
SUMMARY:Timothy O'Leary: Restless engrams: the origin of continually reconf
 iguring neural representations
URL:https://talks-calendar.ista.ac.at/events/3098
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