Neuronal algorithms

Leader

Research center

45 rue d’Ulm
75230 Paris
Marc Mézard

Institution

Ecole Normale Supérieure
Inserm
CNRS

Laboratory

Institut de Biologie de l'ENS IBENS
U1024 UMR 8197
Labex : "mémolife" (IBENS, CdF, ESPCI), Idex : PSL*

Keywords

cervelet
Cerebellum
 

Publications

Bouvier, G., Clopath, C., Bimbard, C., Nadal, J.-P., Brunel, N., Hakim, V. and Barbour, B. Cerebellar learning using perturbations. bioRxiv 053785; doi: https://doi.org/10.1101/053785

 

Blot, A. and Barbour, B. Ultra-rapid axon-axon ephaptic inhibition of cerebellar Purkinje cells by the pinceau. Nature neuroscience, 2014, Vol. 17, pp. 289-295

Ostojic, S., Szapiro, G., Schwartz, E., Barbour, B., Brunel, N. and Hakim, V. Neuronal morphology generates high-frequency firing resonance. The Journal of neuroscience, 2015, Vol. 35, pp. 7056-7068

Ly, R., Bouvier, G., Szapiro, G., Prosser, H. M., Randall, A. D., Kano, M., Sakimura, K., Isope, P., Barbour, B. and Feltz, A.  Contribution of postsynaptic T-type calcium channels to parallel fibre-Purkinje cell synaptic responses. The Journal of physiology, 2016, Vol. 594, pp. 915-936

Bouvier, G., Higgins, D., Spolidoro, M., Carrel, D., Mathieu, B., Léna, C., Dieudonné, S., Barbour, B., Brunel, N. and Casado, M. Burst-Dependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors. Cell reports, 2016, Vol. 15, pp. 104-116

Fields of research

Neurophysiology / systems neuroscience

Research Theme

Our group aims to understand the operation and function of one particular brain region, the cerebellum, basing our research upon a multidisciplinary characterization of the neural networks it contains. _* The cerebellum is involved in the learning and execution of coordinated movements. As a brain structure in which to study the representation and transformation of information, it offers several significant advantages : it has a simple and well-described cellular architecture, we know something about both its (sensory) inputs and (motor) outputs, and several well-understood model behaviors are very strongly linked to the cerebellum.

We study cerebellar function using three principal approaches :

  • The in vitro characterization of the network, neurons and synapses of the cerebellum, using patch-clamp recording and imaging in slices.
  • In vivo recordings of cerebellar activity during behavior, using tetrodes to monitor the behavior of multiple neurons simultaneously.
  • Theoretical analysis and numerical modeling (often in collaboration with theoretical physicists).



Team members

Clément Lena
Mathieu Tihy
Annick Ayon
Anne Feltz
Daniela Popa
German Szapiro