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DTSTART:20210328T030000
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BEGIN:VEVENT
DTSTAMP:20260403T220341Z
UID:1610719200@ist.ac.at
DTSTART:20210115T150000
DTEND:20210115T160000
DESCRIPTION:Speaker: Michele Insanally\nhosted by Andrew Saxe\nAbstract: Sp
 ike trains recorded from the cortex of behaving animals can be complex\, h
 ighly variable from trial to trial\, and therefore challenging to interpre
 t. A fraction of cells exhibit trial-averaged responses with obvious task-
 related features such as pure tone frequency tuning in auditory cortex. Ho
 wever\, a substantial number of cells (including cells in primary sensory 
 cortex) do not appear to fire in a task-related manner and are often negle
 cted from analysis. We recently used a novel single-trial\, spike-timing-b
 ased analysis to show that both classically responsive and non-classically
  responsive cortical neurons contain significant information about sensory
  stimuli and behavioral decisions suggesting that non-classically responsi
 ve cells may play an underappreciated role in perception and behavior. We 
 now expand this investigation to explore the synaptic origins and potentia
 l contribution of these cells to network function. To do so\, we trained a
  novel spiking recurrent neural network model that incorporates spike-timi
 ng-dependent plasticity (STDP) mechanisms to perform the same task as beha
 ving animals. By leveraging excitatory and inhibitory plasticity rules thi
 s model reproduces neurons with response profiles that are consistent with
  previously published experimental data\, including classically responsive
  and non-classically responsive neurons. We found that both classically re
 sponsive and non-classically responsive neurons encode behavioral variable
 s in their spike times as seen in vivo. Interestingly\, plasticity in exci
 tatory-to-excitatory synapses increased the proportion of non-classically 
 responsive neurons and may play a significant role in determining response
  profiles. Finally\, our model also makes predictions about the synaptic o
 rigins of classically and non-classically responsive neurons which we can 
 compare to in vivo whole-cell recordings taken from the auditory cortex of
  behaving animals. This approach successfully recapitulates heterogeneous 
 response profiles measured from behaving animals and provides a powerful l
 ens for exploring large-scale neuronal dynamics and the plasticity rules t
 hat shape them.
LOCATION:Online\, ISTA
ORGANIZER:
SUMMARY:Michele Insanally: Distinct synaptic plasticity mechanisms determin
 e the diversity of cortical responses during behavior 
URL:https://talks-calendar.ista.ac.at/events/3005
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