The Computational Neuroscience of Sensory Systems group belongs to the Vision Institute in Paris (INSERM/CNRS/UPMC). We are also affiliated to Ecole des Neurosciences de Paris. We have been supported by ANR, ERC and FRM.
We are working on three research themes: 1) single neuron modeling, in particular neural excitability; 2) sensory systems; 3) technologies for neural network simulation and electrophysiology.
Recent publications
- , 2019. Theoretical relation between axon initial segment geometry and excitability, bioRxiv, Cold Spring Harbor Laboratory.
- , 2019. Brian 2, an intuitive and efficient neural simulator, eLife (Frances K Skinner, ed.), volume 8.
- , 2019. Modeling Neuron--Glia Interactions with the Brian 2 Simulator, Chapter in Computational Glioscience (Maurizio De Pittà, Hugues Berry, eds.), Springer.
- , 2018.Code generation in computational neuroscience: a review of tools and techniques, Front. Neuroinform., volume 12.
- , 2018. Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware, bioRxiv.
- , 2018. A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo, eLife (David Kleinfeld, ed.), eLife Sciences Publications, Ltd, volume 7.
- , 2018. [Re] Non-additive coupling enables propagation of synchronous spiking activity in purely random networks, ReScience, volume 4.
- , 2017. On the relation between pitch and level, Hearing Research.
- , 2017. The basis of sharp spike onset in standard biophysical models, PLoS ONE, volume 12.
- , 2017. Sustainable computational science: the ReScience initiative, PeerJ Computer Science, volume 3.
- , 2017. Mobility as the Purpose of Postural Control, Frontiers in Computational Neuroscience, volume 11.