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Tuesday, July 21 • 5:00pm - 9:15pm
W10: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches

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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.
Alexandra Tzilivaki (Chair) Contact: aletzil10@gmail.com / alexandra.tzilivaki@charite.de Twitter: @ATzilivaki
Dr.Spiros Chavlis

Prof. Dr. Roger D. Traub
Prof. Dr. Frances Skinner
Prof. Dr. Wilten Nicola
Dr. Everton Agnes (Vogels lab)
Dr. Jiannis Taxidis

avatar for Wilten Nicola

Wilten Nicola

Professor, University of Calgary
avatar for Roger D. Traub

Roger D. Traub

Professor, IBM Thomas J. Watson Research Center, AI Foundations USA.
Roger Traub has been “Einstein Visiting Fellow” since December 2010 and works within the cluster of excellence “Neurocure” at the Charité. He studied mathematics at Princeton University, New Jersey, USA, and then completed his medical studies at the University of Pennsylvania. Roger... Read More →
avatar for Frances Skinner

Frances Skinner

Senior Scientist and Professor, Krembil Research Institute, University Health Network, and University of Toronto
TITLE: Getting the most out of computational models of hippocampal interneuronsABSTRACT: The large variety and diversity of inhibitory cells in our brains makes it challenging to understand brain dynamics and function in general. In particular, using mathematical, computational models... Read More →
avatar for Jiannis Taxidis

Jiannis Taxidis

Postdoctoral Fellow, UCLA
Title: Excitation-inhibition interactions govern the dynamics of spiking sequences and their replays: Combining modeling, electrophysiology and calcium imaging.Abstract: During wakefulness, hippocampal networks generate spiking sequences that encode sensory cues and internally tile... Read More →

Everton Agnes (Vogels lab)

Senior Research Associate, Oxford University

Tuesday July 21, 2020 5:00pm - 9:15pm CEST
Crowdcast (W10)