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---
layout: default
title: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches
---
<div class="blurb" style="theme: jekyll-theme-midnight">
<h1><center>CNS2021 Workshop 8: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches</center></h1>
<h1><center>July 6, 2021</center></h1>
<h2><center>30th Annual Computational Neuroscience Meeting
<a style="color:blue" href="https://www.cnsorg.org/cns-2021-quick" target="_blank" rel="noopener noreferrer">CNS*2021, July 3 to 7, 2021, Online</a></center></h2>
<figure>
<img src="figures/ocns-logo.png" alt="OCNS" style="width:50%">
</figure>
<p style="font-size:24px"><b> Brief Description </b></p>
<br> <div align="justify" > <p style="font-size:22px">GABAergic interneurons comprise one of the main types of cells in the mammalian nervous system.
They play a critical role in learning and memory processes via inhibition and disinhibition pathways. Interneurons exhibit a variety of structural,
molecular, electrophysiological and connectivity features. This high degree of variability makes it quite challenging to delineate their role in mnemonic
functions through current experimental approaches. Computational modeling approaches, on the other hand, are a prominent tool used to predict their
contribution to acquisition, storage and retrieval of information. The aim of this workshop is to present the latest computational work that highlights
the function of interneurons in learning and memory processes. Additionally, we will actively discuss the next steps on how modeling approaches, from
single cell to network models level, would benefit future research on interneurons as pertaining to mnemonic functions.</p></h2>
</div>
</div><!-- /.blurb -->