Gabrielle Devienne

Postdoctoral Scholar, Neurology and Neurological Sciences

Professional Education

Master of Science in Engr, E.S. Physiques Et Chimie Industrielles (2015)
Doctor of Science, Universite De Paris Vi (2019)
Licence, Universite de Paris V (Rene Descartes) (2013)
PhD, Sorbonne University, Paris, France, Neuroscience (2019)
Master, ESPCI & Paris Descartes University, France, Bioengineering and Innovation in Neurosciences (2015)
Bachelor, Paris Descartes University, France, Biomedical Sciences (2013)

All Publications

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Laren Becker

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Bernardo Bonilauri

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Chelsie L. Brewer

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Shaul Druckmann

Associate Professor of Neurobiology, of Psychiatry and Behavioral Sciences and, by courtesy, of Electrical Engineering
Research Interests
Our research goal is to understand how dynamics in neuronal circuits relate and constrain the representation of information and computations upon it. We adopt three synergistic strategies: First, we analyze neural circuit population recordings to better understand the relation between neural dynamics and behavior, Second, we theoretically explore the types of dynamics that could be associated with particular network computations. Third, we analyze the structural properties of neural circuits.

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Jingshan Gao

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Brian Hie

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John Huguenard

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We are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy. Our approach is an analysis of the discrete components (cells, synapses, microcircuits) that make up thalamic and cortical circuits, and reconstitution of components into in silico computational networks.

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Xiaolin Jia

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Iason Keramidis

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Ali Kight

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Jin Billy Li

Professor of Genetics
Research Interests
The Li Lab is primarily interested in RNA editing mediated by ADAR enzymes. We co-discovered that the major function of RNA editing is to label endogenous dsRNAs as "self" to avoid being recognized as "non-self" by MDA5, a host innate immune dsRNA sensor, leading us to pursue therapeutic applications in cancer, autoimmune diseases, and viral infection. The other major direction of the lab is to develop technologies to harness endogenous ADAR enzymes for site-specific transcriptome engineering.

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