Embedded Files
News
News
Check out our new pre-print!
JUDY SIEGEL-ITZKOVICH's article at the J-Post describing our latest paper: https://www.jpost.com/science/article-850701
Medicool Podcast chapter two - Hadas & Ben talk about dopamine, learning, and computational models: https://youtu.be/o4KrM3ZrETI?feature=shared
Our new server, including 8 NVIDIA L40S GPUs, is up and running! This server is now an integral part of the Technion's HPC cluster
Research Interests
Research Interests
Learning is a dynamic process in which the brain continually adapts to new information and modifies its neural activity pattern to optimize performance. The foundation for this process is the remarkable ability of cortical networks for plastic changes, where connectivity between cells and brain regions is changing to create new representations. In the Benisty lab, we formulate learning as a temporal transformation of a network. We develop interpretable models linking dynamic changes in cortical activity, connectivity, and behavior to provide a better understanding of the mechanisms enabling the acquisition of new skills.
Join Us
Join Us
We're looking for enthusiastic students who want to dive into the coolest dynamic system of all (the brain!) and are interested in computational research. Two openings are still available Ph.D. /post-docs.
Please contact at hadasbe@technion.ac.il.
About
About
I am a senior lecturer (assistant professor) at the Technion, Faculty of Medicine, also affiliated with the Faculty of Data and Decision Sciences. I completed a Postdoctoral fellowship in the Neuroscience department at Yale University, with Prof. Michael Higley (Neuroscience) and Prof. Ronald Coifman (Applied Math). I completed my Ph.D. at the Technion's Faculty of Electrical Engineering, working with Profs. David Malah and Koby Crammer, and collaborated with Prof. Ronen Talmon and Prof. Jackie Schiller.
My research is primarily focused on investigating the dynamics of neuronal networks and how their organizational principles, functional connectivity, and plasticity mechanisms relate to behavior and learning in healthy subjects (both animals and humans) and in models of neurodevelopmental or degenerative disorders.
I develop novel approaches for analyzing and modeling biological and artificial networks based on dynamical systems, graph theory, manifold learning, and machine learning.
Contact
Contact
Hadas Benisty
Email:
hadasbe@technion.ac.il
Address:
The Ruth and Bruce Rappaport Faculty of Medicine,
9th Floor, Efron St 1, Haifa, Israel
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