Publications de Renaud Jolivet

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

Pierre Magistretti, Renaud Jolivet, Henry Markram, Felix Schürmann, Corrado Cali, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Stefan Eilemann, Jay Coggan, Daniya Boges, Kalpana Kare, Markus Hadwiger, Marco Agus

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018

Multi-timescale Modeling of Activity-Dependent Metabolic Coupling in the Neuron-Glia-Vasculature Ensemble

Pierre Magistretti, Renaud Jolivet, Igor Allaman, Jay Coggan

Glucose is the main energy substrate in the adult brain under normal conditions. Accumulating evidence, however, indicates that lactate produced in astrocytes (a type of glial cell) can also fuel neuronal activity. The quantitative aspects of this so-calle ...

2015

In Vivo Evidence for Lactate as a Neuronal Energy Source

Pierre Magistretti, Renaud Jolivet

Cerebral energy metabolism is a highly compartmentalized and complex process in which transcellular trafficking of metabolites plays a pivotal role. Over the past decade, a role for lactate in fueling the energetic requirements of neurons has emerged. Furt ...

2011

Comment on recent modeling studies of astrocyte-neuron metabolic interactions

Pierre Magistretti, Luc Pellerin, Renaud Jolivet, Igor Allaman

Recent years have seen a surge in mathematical modeling of the various aspects of neuron-astrocyte interactions, and the field of brain energy metabolism is no exception in that regard. Despite the advent of biophysical models in the field, the long-lastin ...

Nature Publishing Group2010

Deciphering neuron-glia compartmentalization in cortical energy metabolism

Pierre Magistretti, Renaud Jolivet

Energy demand is an important constraint on neural signaling. Several methods have been proposed to assess the energy budget of the brain based on a bottom-up approach in which the energy demand of individual biophysical processes are first estimated indep ...

2009

The quantitative single-neuron modeling competition

Wulfram Gerstner, Renaud Jolivet, Thomas Berger, Felix Schürmann, Richard Naud

As large-scale, detailed network modeling projects are flourishing in the field of computational neuroscience, it is more and more important to design single neuron models that not only capture qualitative features of real neurons but are quantitatively ac ...

Springer Verlag2008

Special issue on quantitative neuron modeling

Wulfram Gerstner, Walter Senn, Renaud Jolivet, Felix Schürmann

Springer Verlag2008

A benchmark test for a quantitative assessment of simple neuron models

Wulfram Gerstner, Renaud Jolivet, Richard Naud

Several methods and algorithms have recently been proposed that allow for the systematic evaluation of simple neuron models from intracellular or extracellular recordings. Models built in this way generate good quantitative predictions of the future activi ...

Elsevier2008

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments

Wulfram Gerstner, Claudia Clopath, Renaud Jolivet

An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protocol has been developed to extract the parameters of the aEIF model using an op ...

Elsevier2007

Effective minimal threshold models of neuronal activity

Renaud Jolivet

This work investigates the capacity of Integrate-and-Fire-type (I&F-type) models to quantitatively predict spike trains of real neurons in various laboratory and in vivo-like settings. A step-by-step methodology is developed to build an equivalent effectiv ...

EPFL2005