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Reference : UMR8023-REMMON0-004
Workplace : PARIS 05
Date of publication : Monday, May 03, 2021
Scientific Responsible name : Rémi Monasson
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 September 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly
Description of the thesis topic
How is an animal able to distinguish, in the midst of the flood of visual, auditory, tactile information, which it continuously receives, the elements which are crucial for its behavioral decisions and actions? The aim of the thesis is to answer this fundamental question using theoretical approaches (carried out at LPENS), in particular inverse statistical physics models reproducing the activity of large neuronal populations in rodents in vivo (measured at IBENS) and which will lead us to emulate a complete animal in silico. This approach will make it possible to quantify and characterize the feedback mechanisms that start from the upper brain areas and make possible a differentiated processing of sensory information, adapted to decision-making.
Keywords: Statistical physics, Modeling, Inference and machine learning, Neuroscience, Sensory cortex, Attentional mechanisms
The PhD work is co-supervised by R. Monasson (LPENS) and L. Bourdieu (IBENS). It will mainly take place within Team 11 of LPENS (Statistical Physics and Inference for Biology) where modeling work will be carried out, and also in the "Cortical dynamics and coding mechanisms" (IBENS) team, in contact with experiences.
Constraints and risks
No specific constraint.
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