Antonio Galves
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View article: Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data
Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data Open
It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this ta…
View article: Response times are affected by mispredictions in a stochastic game
Response times are affected by mispredictions in a stochastic game Open
Acting as a goalkeeper in a video-game, a participant is asked to predict the successive choices of the penalty taker. The sequence of choices of the penalty taker is generated by a stochastic chain with memory of variable length. It has b…
View article: Clustering Sets of Functional Data by Similarity in Law
Clustering Sets of Functional Data by Similarity in Law Open
We introduce a new clustering method for the classification of functional data sets by their probabilistic law, that is, a procedure that aims to assign data sets to the same cluster if and only if the data were generated with the same und…
View article: The brain uses renewal points to model random sequences of stimuli
The brain uses renewal points to model random sequences of stimuli Open
It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this ta…
View article: EVALUATING THE PREDICTION OF UPCOMING EVENTS IN INDIVIDUALS WITH TRAUMATIC BRACHIAL PLEXUS INJURY USING THE GOALKEEPER GAME
EVALUATING THE PREDICTION OF UPCOMING EVENTS IN INDIVIDUALS WITH TRAUMATIC BRACHIAL PLEXUS INJURY USING THE GOALKEEPER GAME Open
View article: What comes next? response times are affected by mispredictions in a stochastic game
What comes next? response times are affected by mispredictions in a stochastic game Open
Acting as a goalkeeper in a video-game, a participant is asked to predict the successive choices of the penalty taker. The sequence of choices of the penalty taker is generated by a stochastic chain with memory of variable length. It has b…
View article: Probabilistic prediction and context tree identification in the Goalkeeper Game
Probabilistic prediction and context tree identification in the Goalkeeper Game Open
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 chain more difficult to predict. Second, how to model the proce…
View article: Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons Open
View article: Fast Consensus and Metastability in a Highly Polarized Social Network
Fast Consensus and Metastability in a Highly Polarized Social Network Open
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 social actor expresses a "favorable" or "contrary" opinion…
View article: Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons Open
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 point processes with memory of variable length. The influence o…
View article: Probabilistic spiking neuronal nets - Neuromathematics for the computer era
Probabilistic spiking neuronal nets - Neuromathematics for the computer era Open
This book presents and studies a class of stochastic models for biological neural nets. A biological neural net is a system with a huge number of interacting components, the neurons. The activity of each neuron is represented by a point pr…
View article: Predicting Upcoming Events Occurring in the Space Surrounding the Hand
Predicting Upcoming Events Occurring in the Space Surrounding the Hand Open
Predicting upcoming sensorimotor events means creating forward estimates of the body and the surrounding world. This ability is a fundamental aspect of skilled motor behavior and requires an accurate and constantly updated representation o…
View article: Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data Open
View article: Fingerprints of data compression in EEG sequences
Fingerprints of data compression in EEG sequences Open
It has been classically conjectured that the brain compresses data by assigning probabilistic models to sequences of stimuli. An important issue associated to this conjecture is what class of models is used by the brain to perform its comp…
View article: Retrieving the structure of probabilistic sequences of auditory stimuli\n from EEG data
Retrieving the structure of probabilistic sequences of auditory stimuli\n from EEG data Open
Using a new probabilistic approach we model the relationship between\nsequences of auditory stimuli generated by stochastic chains and the\nelectroencephalographic (EEG) data acquired while 19 participants were exposed\nto those stimuli. T…
View article: Retrieving a Context Tree from EEG Data
Retrieving a Context Tree from EEG Data Open
It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic process…
View article: A system of interacting neurons with short term plasticity
A system of interacting neurons with short term plasticity Open
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 represented by its membrane potential and by the residual calcium con…
View article: Retrieving a context tree from EEG data
Retrieving a context tree from EEG data Open
It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic process…
View article: Correction to: Information Transmission and Criticality in the Contact Process
Correction to: Information Transmission and Criticality in the Contact Process Open
View article: Information Transmission and Criticality in the Contact Process
Information Transmission and Criticality in the Contact Process Open
View article: Interaction graph estimation for the first olfactory relay of an insect
Interaction graph estimation for the first olfactory relay of an insect Open
One of the main current issues in Neurobiology concerns the understanding of interrelated spiking activity among multineuronal ensembles and differences between stimulus-driven and spontaneous activity in neurophysiological experiments. Mu…
View article: Estimation of neuronal interaction graph from spike train data
Estimation of neuronal interaction graph from spike train data Open
One of the main current issues in Neurobiology concerns the understanding of interrelated spiking activity among multineuronal ensembles and differences between stimulus-driven and spontaneous activity in neurophysiological experiments. Mu…
View article: Blurred stochastic chains
Blurred stochastic chains Open
Assume we have two stochastic chains taking values in a finite alphabet. These chains may be of infinite order. Assume also that these chains are coupled in such a way that given the past of both chains they have a not too large probabilit…
View article: Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury
Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury Open
View article: Context tree selection for functional data
Context tree selection for functional data Open
It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic processe…
View article: Fundamental Domain and Cellular Decomposition of Tetrahedral Spherical Space Forms
Fundamental Domain and Cellular Decomposition of Tetrahedral Spherical Space Forms Open
Given a free isometric action of the binary tetrahedral group on a (4n − 1)-dimensional sphere, we obtain an explicit finite cellular decomposition of the sphere, equivariant with respect to the group action. A cell decomposition of the co…
View article: Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury
Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury Open
This study aims at the effects of traumatic brachial plexus lesion with root avulsions (BPA) upon the organization of the primary motor cortex (M1). Nine right-handed patients with a right BPA in whom an intercostal to musculocutaneous (IC…
View article: Identifying interacting pairs of sites in Ising models on a countable set
Identifying interacting pairs of sites in Ising models on a countable set Open
This paper address the problem of identifying pairs of interacting sites from a finite sample of independent realizations of the Ising model. We consider Ising models in a infinite countable set of sites under Dobrushin uniqueness conditio…
View article: Modeling networks of spiking neurons as interacting processes with\n memory of variable length
Modeling networks of spiking neurons as interacting processes with\n memory of variable length Open
We consider a new class of non Markovian processes with a countable number of\ninteracting components, both in discrete and continuous time. Each component is\nrepresented by a point process indicating if it has a spike or not at a given\n…
View article: Modeling networks of spiking neurons as interacting processes with memory of variable length
Modeling networks of spiking neurons as interacting processes with memory of variable length Open
We consider a new class of non Markovian processes with a countable number of interacting components, both in discrete and continuous time. Each component is represented by a point process indicating if it has a spike or not at a given tim…