Publications associées à Bayesian approaches to brain function

Bayesian modeling of brain function and behavior

The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...

EPFL2020

Resting brain dynamics at different timescales capture distinct aspects of human behavior

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Linking human behavior to resting-state brain function is a central question in systems neuroscience. In particular, the functional timescales at which different types of behavioral factors are encoded remain largely unexplored. The behavioral counterparts ...

Springer2019

Reconstruction and Simulation of Neocortical Microcircuitry

Anastasia Ailamaki, Henry Markram, Sean Lewis Hill, Rodrigo de Campos Perin, Eilif Benjamin Muller, Srikanth Ramaswamy, Lida Kanari, Vincent Delattre, Michael Reimann, Ying Shi, James Gonzalo King, Rajnish Ranjan, Felix Schürmann, Thomas Heinis, Julian Charles Shillcock, Gilad Silberberg, Farhan Tauheed, Marwan Muhammad Ahmed Abdellah, Julie Meystre, Giuseppe Chindemi, Georges Khazen, Ricardo Manuel Salgueiro Domingues Da Silva, Thomas Berger, Ahmet Bilgili, Max Christian Nolte, Shruti Muralidhar, Idan Segev, Daniel Keller, Werner Alfons Hilda Van Geit, Michael Lee Hines, Pramod Shivaji Kumbhar, Yun Wang, Jean-Denis Georges Emile Courcol, Juan Bautista Hernando Vieites, John Richard Walker, Stefan Eilemann, Michael Emiel Gevaert, Jean-Vincent Le Bé, Taylor Howard Newton, Martin Telefont, Imad Riachi, Guy Antoine Atenekeng Kahou, Nicolas Antille, Raphael Dumusc, Eyal Gal, Sébastien Lasserre, Jean Pierre Ghobril, Jeffrey Christopher Muller, Jafet Villafranca Diaz, Aleksandr Ovcharenko, Juan Luis Riquelme Roman, Juan Pablo Palacios, Lidia Alonso-Nanclares, Selim Arsever, Joseph William Graham, Athanassia Chalimourda, Daniel Nachbaur, Yihwa Kim, Stefano Zaninetta, Zoltan Kisvarday, Nenad Buncic, Keerthan Muthurasa, Carlos Aguado Sanchez, Benjamin Roy Morrice, James Alexander Dynes, Alberto Munoz Cespedes, Michael John Kenyon, Anirudh Gupta

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse ex ...

Elsevier2015

Spike-timing prediction in cortical neurons with active dendrites

Wulfram Gerstner, Richard Naud, Brice Bathellier

A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical dendrit ...

Frontiers Research Foundation2014

Spike-timing prediction in a neuron model with active dendrites

Wulfram Gerstner, Richard Naud, Brice Bathellier

A complete model for single neurons must reproduce correctly the firing of spikes and bursts. Yet it must remain simple enough to be tractable in large-scale simulations. We present a study of a simplified model of Layer V pyramidal cells of the cortex wit ...

2009

When motion takes form : an electrophysiological approach to visual motion perception in humans

Manuel Mercier

When and where is visual motion processed in the human brain? This question is highly relevant considering the importance of motion for our perception of the dynamical world surrounding us. In the present work we studied motion processing, firstly through ...

EPFL2009