activity
19952023
most citedInfinite systems of interacting chains with memory of variable length - a stochastic model for biological neural nets

105 citations · 422 across the 28 of their papers we have counts for

collaborators

30 papers

stat.AP2023

Probabilistic prediction and context tree identification in the Goalkeeper Game

Noslen Hernández, Antonio Galves, Jesus Garcia +2

In this article we address two related issues on the learning of probabilistic sequences of events. First, which features make the sequence of events generated by a stochastic chai…

math.PR2022★ 1 cited

Fast Consensus and Metastability in a Highly Polarized Social Network

Antonio Galves, Kádmo Laxa

A polarized social network is modeled as a system of interacting marked point processes with memory of variable length. Each point process indicates the successive times in which a…

math.ST2021

Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons

Emilio De Santis, Antonio Galves, Giovanna Nappo +1

We address the questions of identifying pairs of interacting neurons from the observation of their spiking activity. The neuronal network is modeled by a system of interacting poin…

q-bio.NC2020

Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data

Noslen Hernández, Aline Duarte, Guilherme Ost +3

Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquire…

math.PR2019★ 12 cited

A system of interacting neurons with short term synaptic facilitation

Antonio Galves, Eva Löcherbach, Christophe Pouzat +1

In this paper we present a simple microscopic stochastic model describing short term plasticity within a large homogeneous network of interacting neurons. Each neuron is represente…

math.PR2018★ 11 cited

Phase transition for infinite systems of spiking neurons

P. A. Ferrari, A. Galves, I. Grigorescu +1

We prove the existence of a phase transition for a stochastic model of interacting neurons. The spiking activity of each neuron is represented by a point process having rate w…