[Comp-neuro] Postdoc position in applied maths and computational
at Ecole Normale Superieure, Paris and/or at INRIA Sophia-Antipolis (near
romain.brette at ens.fr
Tue May 22 18:00:17 CEST 2007
Postdoc position in applied mathematics and computational neuroscience
at ENS Paris and/or at INRIA Sophia-Antipolis (near Nice).
Mathematical techniques for extracting synaptic activity from
intracellular measurements in neurons.
The objective of this project is to develop, analyze and implement
mathematical methods for extracting information about the synaptic
conductances from neurophysiological recordings. To achieve this
objective we propose to address the following three questions.
1) Measuring conductances in central neurons in vivo is essential to
understand the response selectivity of those neurons. Response
selectivity can arise from particular timings of excitation and
inhibition, which can be amplified by intrinsic conductances. In
intracellular experiments, one can measure the membrane potential V(t),
but the conductances are hidden variables. We are interested in
extracting the excitatory synaptic conductance ge(t) and the inhibitory
conductance gi(t), which are related to V(t) through a differential
equation. Because two variables are to be deduced from a single
quantity, all previous methods are based on multiple trials, which
necessarily mean that information about the variability unlocked to the
stimulus is lost. We have started to develop a method for single-trial
measurements, which uses a controlled noisy current injected in the
neuron and a minimization procedure.
2) Another aspect of the project is the recording technique itself.
Currently, our recordings use a novel technique called Active Electrode
Compensation, which uses an electrode model and a computer program
running in real time to control the recording electrode. There are
several aspects of this technique which would need improvements and
3) Finally, we are also interested in extracting spike-triggered
averages from intracellular recordings.
We are collaborating on this project with Alain Destexhe and Yves
Frégnac at the UNIC lab (CNRS Gif-sur-Yvette), where all experiments
(both in vitro and in vivo) will be performed. The postdoctoral fellow
will test his algorithms on experimental data but is not expected to
participate actively in the experiments. Details of the project are
We are looking for a postdoctoral fellow with expertise in applied maths
or physics, and experience in programming. The research work will be
related to the following domains: control theory, signal processing,
dynamical systems, probabilities, optimization. Knowledge of
neurophysiological models is a plus but is not required. A clear
interest for interdisciplinary work is an obvious requirement.
The candidate will work for 2 years in the Odyssee Lab at the Computer
Science Department of Ecole Normale Supérieure in Paris (45, rue d’Ulm,
very central, in the heart of the Quartier Latin) and/or at INRIA
Sophia-Antipolis, near Nice on the French Riviera. The position is fully
funded by an ANR Neuroscience project.
Candidates should send a CV and the address of two referees to Romain
Brette (Romain.Brette at ens.fr) and Olivier Faugeras
(Olivier.Faugeras at sophia.inria.fr). For further information please
contact Romain Brette.
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