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SUMMARY:Parallellizing computational models of memory function for the inv
 estigation of sustained activity in the prefrontal cortex
DTSTART;VALUE=DATE-TIME:20121017T120000Z
DTEND;VALUE=DATE-TIME:20121017T123000Z
DTSTAMP;VALUE=DATE-TIME:20261011T074210Z
UID:indico-contribution-166@indico.ipb.ac.rs
DESCRIPTION:Speakers: Anastasis Oulas ()\nNeurons in the prefrontal cortex
  display sustained activity in response to environmental or internal stimu
 li\, that continues until the behavioral outcome or a reward signal arrive
 s. Large-scale modeling studies have proposed intensive recurrence and slo
 w excitation mediated by NMDA receptors as the mechanisms able to support 
 the sustained excitation in these neurons. In addition\, electrophysiologi
 cal studies suggest that single-cell intrinsic currents also underlie the 
 delayed excitation of prefrontal neurons. In order to study learning and m
 emory processes\, we develop detailed biophysical computational models of 
 small neural circuits of the prefrontal cortex (PFC). We use these models 
 in order to study the role of biophysical and anatomical mechanisms in the
  emergence and maintenance of sustained activity. Additionally\, we dissec
 t the contribution of different types of interneurons in this sustained ac
 tivity. This computational work provides (a) some of the most realistic bi
 ophysical models of neurons in the brain which are publicly available and 
 used by numerous labs worldwide and (b) generates interesting predictions 
 which steer the interest of the neuroscience community and open up new ave
 nues for experimental verifications. All of our models are developed withi
 n the open source Neuron simulation environment  and were parallelized for
  the HPCG Infrastructure provided by HP-SEE. Benchmarks  show a significan
 t speedup when simulations are run on parallel environments.\n\nhttps://ev
 ents.saifa.rs/event/291/contributions/166/
LOCATION:National Library of Serbia
URL:https://events.saifa.rs/event/291/contributions/166/
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