Comp-neuro: PhD position at L2S, south of Paris, France
antoine.chaillet at supelec.fr
Tue Apr 17 11:01:00 CEST 2012
Dear manager of the comp-neuro list,
Please find below a PhD offer for our lab L2S in Paris.
I would appreciate if you could publish it.
Thanks a lot in advance.
PhD position at L2S, south of Paris, France
PhD Title: Control laws for innovative deep brain stimulation in the
treatment of Parkinson disease: provable approaches based on
optogenitics experimental data
Supervisors: Antoine Chaillet (main advisor) and William Pasillas-Lépine
Brief description: This Ph.D. thesis aims at adapting methodologies
issued from control theory and dynamical systems to the field of
neuroscience. The development of formal analytical results allows a
better understanding of some neurological phenomena, and is a necessary
requirement for the achievement of significant progresses in therapeutic
treatments such as deep brain stimulation. Recent experimental and
theoretical breakthroughs now make such analytical studies reasonable.
In particular, this work will focus on neuronal synchrony, which is
involved in many healthy brain functions but can also lead to
pathological phenomena (such as Parkinson's disease). The objective of
this work is to develop new analysis and control methods, able to cope
with the fundamentally complex behavior of neuronal populations
(interconnection, heterogeneity, uncertainties, delays...). These
methods will be inspired from related domains involving stability
analysis of interconnected nonlinear systems, analysis of hybrid
dynamics and robust control. More precisely, the Ph.D. thesis will
comprise: the development a spike-rate model of the basal ganglia
network based on experimental optogenetics data of healthy and
parkinsonian primates, the confrontation of this model with a
single-unit numerical model, the formal analysis of pathological
oscillations onset based on the spike-rate model, and the development of
realistic DBS control laws to alter these pathological oscillations.
Environment: The Ph.D. thesis will take place at Laboratoire des Signaux
et Systèmes (L2S) -- Supélec, South of Paris (France), in a team
composed of applied mathematicians and control theoreticians.
Prerequisite: Although aiming at practical fallouts and relying on
state-of-the-art experimental data, the contributions expected from this
Ph.D. thesis are mostly of a theoretical nature. The candidate must have
a background in applied mathematics, nonlinear/hybrid control theory, or
computational neuroscience. Interests in interdisciplinary research are
required. Skills in simulation software are desirable. Knowledge of
French language is not required, but an appropriate level of English is
Contact: antoine.chaillet at supelec.fr
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