6 papers
Simulation Based Inference of a Simple Neural Network Structure
Pierre Charitat, Ségolen Geffray, Christophe Pouzat
Neurophysiologists are nowadays able to record from a large number of extracellular electrodes and to extract, from the raw data, the sequences of action potentials or spikes gener…
ToMATo: an efficient and robust clustering algorithm for high dimensional datasets. An illustration with spike sorting
Louise Martineau, Christophe Pouzat, Ségolen Geffray
Clustering algorithms became an essential part of the neurophysiological data analysis toolbox in the last twenty five years. Many problems, from the definition of cell types/group…
A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity
Christophe Pouzat, Morgan André
After reviewing the behavioral studies of working memory and of the cellular substrate of the latter, we argue that metastable states constitute candidates for the type of transien…
Interacting Hawkes processes with multiplicative inhibition
Céline Duval, Eric Luçon, Christophe Pouzat
In the present work, we introduce a general class of mean-field interacting nonlinear Hawkes processes modelling the reciprocal interactions between two neuronal populations, one e…
Estimation of neuronal interaction graph from spike train data
Ludmila Brochini, Antonio Galves, Pierre Hodara +2
One of the main current issues in Neurobiology concerns the understanding of interrelated spiking activity among multineuronal ensembles and differences between stimulus-driven and…
Efficient spike-sorting of multi-state neurons using inter-spike intervals information
Matthieu Delescluse, Christophe Pouzat
We demonstrate the efficacy of a new spike-sorting method based on a Markov Chain Monte Carlo (MCMC) algorithm by applying it to real data recorded from Purkinje cells (PCs) in you…