Concept

Cellule de Betz

vignette|Neurone pyramidal néocortical humain, tel qu'une cellule de Betz, coloré par la technique de Golgi. Les cellules de Betz sont de grands neurones moteurs à noyau de forme pyramidale, d'où leur appellation de cellules pyramidales de Betz. Elles se situent généralement dans la couche V du cortex moteur primaire (aire 4 de Brodmann). Elles fournissent les projections corticofugales qui s'articulent avec d'autres noyaux, motoneurones ou interneurones, soit au niveau du tronc cérébral, soit au niveau de la moelle épinière (voie pyramidale). La voie pyramidale est la voie descendante de la motricité volontaire, elle se trouve dans la partie antérieure du pont et de la moelle épinière.

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https://fr.wikipedia.org/wiki/Cellule_de_Betz

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Moelle spinale

La moelle spinale (selon la nouvelle nomenclature), ou moelle épinière (dans l’ancienne nomenclature), désigne la partie du système nerveux central qui prolonge la moelle allongée appartenant au tronc cérébral. Elle est contenue dans le canal rachidien (canal formé par la superposition des foramens vertébraux), qui la soutient et la protège. Elle est constituée de neurones et de cellules gliales. Sa fonction principale est la transmission des messages nerveux entre le cerveau et le reste du corps.

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https://fr.wikipedia.org/wiki/Cellule_de_Betz

À propos de ce résultat

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Wulfram Gerstner

Wulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.

Julie Meystre

Maurizio Ferdinando Pezzoli

Henry Markram

Enseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N

Pavan P Ramdya

https://ramdya-lab.epfl.ch/

Kathryn Hess Bellwald

Kathryn Hess Bellwald received her PhD from MIT in 1989 and held positions at the universities of Stockholm, Nice, and Toronto before moving to the EPFL.Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. She has published extensively on topics in pure algebraic topology including homotopy theory, operad theory, and algebraic K-theory. On the applied side, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory, leading to a powerful, parameter-free mathematical framework relating the activity of a neural network to its underlying structure, both locally and globally.In 2016 she was elected to Swiss Academy of Engineering Sciences and was named a fellow of the American Mathematical Society and a distinguished speaker of the European Mathematical Society in 2017. In 2021 she gave an invited Public Lecture at the European Congress of Mathematicians. She has won several teaching prizes at EPFL, including the Crédit Suisse teaching prize and the Polysphère d’Or.

Unités associées (1)

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Personnes associées (6)

Wulfram Gerstner

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Kathryn Hess Bellwald