I am currently a third-year PhD student in computational neuroscience under the supervision of Romain Brette, in the Audition team at the École Normale Supérieure de la rue d’Ulm, Paris. I was previously a student at the Ecole Normale Supérieure in the Mathematics and Computer Science departments.
Research
I’m interested in spike-based computation, temporal coding, neuronal correlations and synchronization, and in vitro electrophysiological recordings. I use mathematical tools such as dynamical systems, probability theory and stochastic processes, and computational tools such as spiking neural network simulations, numerical optimization, parallel/distributed computing and general-purpose computing on graphics processing units (GPGPU). I’ve worked on coincidence detection in noisy neurons and in electrode compensation techniques for current clamp in-vitro recordings. I’ve also developed a model fitting toolbox for spiking neuron models with both CPU and GPU implementations, which is now integrated in the neural simulator Brian. The toolbox is based on Playdoh, a Python library for parallel and distributed scientific computing that I’ve created with Bertrand Fontaine and Dan Goodman. More details are available on the Research page.
Main publications
- Rossant C, Leijon S, Magnusson AK, Brette R (2011). Sensitivity of noisy neurons to coincident inputs. Journal of Neuroscience, 31(47): 17193-17206; doi: 10.1523/JNEUROSCI.2482-11.2011.
- Rossant C, Goodman DF, Fontaine B, Platkiewicz J, Magnusson A, Brette B (2011). Fitting neuron models to spike trains. Frontiers in Neuroscience, 5:9. doi:10.3389/fnins.2011.00009.
- Rossant C, Fontaine B, Goodman DF (2011). Playdoh: a lightweight Python library for distributed computing and optimisation. Journal of Computational Science. doi:10.1016/j.jocs.2011.06.002.
- More…
Teaching
I’m an assistant teacher (moniteur) at Université Paris VI – Pierre et Marie Curie and the Ecole Normale Supérieure in Mathematics and Computer Science at Bachelor (licence) and Master levels. More details are available on the Teaching page.