I am a research associate in computational neuroscience at University College London in the Cortical Processing Laboratory, led by Kenneth Harris and Matteo Carandini. I am developing mathematical tools and software for analyzing extracellular recordings from high-density multi-electrode probes.
I hold a Ph.D. in computational neuroscience, obtained under the supervision of Romain Brette in the École Normale Supérieure (ENS), Paris. I worked on the computational role of correlations in neural coding and in intracellular data analysis. Previously, I graduated from the Mathematics and Computer Science departments of the ENS, and I made research internships at Princeton University and Collège de France.
I’m interested in spike-based computation, temporal coding, neuronal correlations and synchronization, coincidence detection, analysis of intracellular and extracellular electrophysiological recordings. I use mathematical tools (dynamical systems, probability theory and stochastic processes, statistics and machine learning) and computational tools (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.
I’ve created a high-performance visualization package in Python named Galry, and a graphical software for the manual stage of spike sorting, adapted to recordings with large multi-electrode arrays, named KlustaViewa. I’m now involved in the successor of Galry, Vispy, in collaboration with other developers of visualization toolkits. More details are available on the Research page.
- Rossant C, Fontaine B, Magnusson AK, Brette R (2012). A calibration-free electrode compensation method. Journal of Neurophysiology, 108(9): 2629-2639; doi: 10.1152/jn.01122.2011.
- 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.