Random processes in the brain: From experimental data to Math and back

27 févr. 2023, 08:00 → 7 avr. 2023, 21:00 Europe/Paris

Amphitheater Darboux (IHP)

Thematic scientific program at Institut Henri Poincaré, Paris

Random processes in the brain: From experimental data to Math and back

February 27th to  April 7th, 2023

 

Back to the thematic main page.

 

Short Program 

1st week: February 27-March 3: Scratch courses from March 1 to March 3:

C.Pouzat, E.Löcherbach, C.D Vargas,  A. Duarté

2nd week: March 6 to March 10: Workshop: Structural learning by the brain

 

3rd week: March 13 to March 17:  Doctoral course: Structural learning by the brain

C. D. Vargas, A. Duarte, M. Svarc  

4th week: March 20-24: Doctoral course: Stochastic modelling of neural networks

A. Galves, C. Pouzat  

5th week: March 27-March 31: Workshop: Networks of spiking neurons

 

6th week: April3-April 7: Hands-on week: Doctoral courses and discussion of projects with student

 

More information can be found here

Detailed program hehttps://indico.math.cnrs.fr/event/7792/attachments/3752/5391/RPB-IHP-Dec-15.pdfre

About the NeuroMat Project

Guidelines for the poster session

Organizers:

Antonio Galves (Universidade de São Paulo, galves@usp.br)

Eva Löcherbach (Paris 1 Panthéon-Sorbonne, eva.locherbach@univ-paris1.fr)

Christophe Pouzat (CNRS Université de Strasbourg, christophe.pouzat@math.unistra.fr)

Claudia D. Vargas ( Universidade Federal de Rio de Janeiro)

You will also need to register for the conferences you wish to attend via the dedicated registration form(s)

 

Doc_cours_Stoch_modelling.pdf

Networks of spiking neurons_21.03.pdf

Programmecolloquemars2023.pdf

RPB-IHP-21. 03.pdf

Scratch courses.pdf

séance grand publique.pdf

Workshop_structural _learning-1.pdf

Workshop_structural-_learning-2.pdf

Workshop_structural-_learning_7.03.pdf

mercredi 1 mars

10:00 → 12:00 Neurobiology for mathematicians by C. Pouzat with F. Najman, P. Passos, B. Ramalho

Content: Primer on basic neural physiology for mathematicians; von
Helmholtz's conjecture of the predictive brain; intrinsic variability
of neurobiological data and the need of probabilistic models

14:00 → 16:00 Stochastics for neurobiologists by A. Duarte and E. Löcherbach

Content: Stochastic chains: Markov chains and variable length
models; a simple model for spiking neurons and statistical
inference; modeling EEG data.

16:00 → 18:00 Informal discussions and project proposals / discussions with younger researchers.

jeudi 2 mars

10:00 → 12:00 Neurobiology for mathematicians by C. Pouzat with F. Najman, P. Passos, B. Ramalho

Content: Primer on basic neural physiology for mathematicians; von
Helmholtz's conjecture of the predictive brain; intrinsic variability
of neurobiological data and the need of probabilistic models

14:00 → 16:00 Stochastics for neurobiologists by A. Duarte and E. Löcherbach

Content: Stochastic chains: Markov chains and variable length
models; a simple model for spiking neurons and statistical
inference; modeling EEG data.

16:00 → 18:00 Informal discussions and project proposals / discussions with younger researchers

vendredi 3 mars

10:00 → 12:00 Neurobiology for mathematicians by C. Pouzat with F. Najman, P. Passos, B. Ramalho

Content: Primer on basic neural physiology for mathematicians; von
Helmholtz's conjecture of the predictive brain; intrinsic variability
of neurobiological data and the need of probabilistic models

14:00 → 16:00 Stochastics for neurobiologists by A. Duarte and E. Löcherbach

Content: Stochastic chains: Markov chains and variable length
models; a simple model for spiking neurons and statistical
inference; modeling EEG data.

16:00 → 18:00 Informal discussions and project proposals / discussions with younger researchers.

lundi 6 mars

09:00 → 09:30 Workshop : Structural learning by the brain: Welcome coffee

09:30 → 10:30 Olivier Faugeras: Mathematical neuroscience

10:30 → 11:00 Coffee break

11:00 → 12:00 Risto Ilmoniemi: Randomness in the brain: TMS versus sensory stimulation

12:00 → 12:20 Group photo

14:45 → 15:00 Présentation de l'équipe de l'IHP par directeur adjoint de l'IHP Pr. Dominique Mouhanna

15:00 → 16:00 Florent Meyniel: Is human statistical learning Bayesian?

16:00 → 16:30 Coffee break

16:30 → 17:30 Sonja Gruen: Higher-order spike patterns in cortex and models

mercredi 8 mars

09:30 → 10:30 Leonardo Cohen: Consolidation of human skill linked to waking hippocampo-neocortical replay

10:30 → 11:00 Coffee break

11:00 → 12:00 Vikram Chib: Subjective valuation of effort.

15:00 → 16:00 Claudia D. Vargas: The goal-keeper game: predicting upcoming events by the brain.

16:00 → 16:30 Coffee break

16:30 → 17:30 Bill Lytton: Avalanches in primary motor cortex

jeudi 9 mars

09:30 → 10:30 Aline Duarte: Retrieving context trees from EEG data

10:30 → 11:00 Coffee break

11:00 → 12:00 Daniel Fraiman: An ANOVA approach for statistical comparisons of brain networks

15:00 → 16:00 Oswaldo Baffa: Retrieving context tree models driven by structured TMS pulse sequences

16:00 → 16:30 Coffee break

16:30 → 17:30 Viktor Jirsa, The Virtual Brain in Applications to Medicine

17:30 → 19:30 Cocktail and poster session with a short oral introduction: Fernando Najman, Paulo Passos, Bia Ramalho, Victor Hugo Souza, Noslen Hern\'andez, Renan Shimoura, Raquel Carvalho

vendredi 10 mars

09:30 → 10:30 Marcela Svarc: EEG clustering and data compression by the brain

10:30 → 11:00 Coffee break

11:00 → 12:00 Maria Elisa Pimentel, Raphael Stern : The Goalkeeper Game: A new assessment tool for prediction of gait performance under complex condition in people with Parkinson's disease

15:00 → 16:00 Antoine Triller: Synaptic receptors mouvement and brain diseases.

16:00 → 16:30 Coffee break

16:30 → 17:30 Yves Frégnac: Beyond the Metaphor between the digital Computer and the biological brain : the myth of artificial consciousness

lundi 13 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 1st Doctoral course: Structural-learning-by-the-brain by C. Vargas, A. Duarte, M. Svarc.

Content: Learning stochastic sequences of events by the brain; sequences of random objects driven by context tree models; statistical model selection for sequences of random objects driven by context tree models; the projective method; evoked potentials in EEG data; retrieving the structure of probabilistic sequences from EEG data; clustering EEG data by law.

15:00 → 16:00 Coffee and informal discussions

mardi 14 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 1st Doctoral course: Structural learning by the brain. by C. Vargas, A. Duarte, M. Svarc

Content: Learning stochastic sequences of events by the brain; sequences of random objects driven by context tree models; statistical model selection for sequences of random objects driven by context tree models; the projective method; evoked potentials in EEG data; retrieving the structure of probabilistic sequences from EEG data; clustering EEG data by law.

15:00 → 16:00 Coffee and informal discussions

18:00 → 19:00 Séance grand public :Olivier Faugeras: Des mathéematiques au chevet des neurones et des astrocytes

19:00 → 20:00 Séance grand public: Gilles Laurent: Evolution, Fonctions et Dynamique du Cerveau.

mercredi 15 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 1st Doctoral course: Structural learning by the brain. C. Vargas, A. Duarte, M. Svarc

Learning stochastic sequences of events by the brain; sequences of random objects driven by context tree models; statistical model selection for sequences of random objects driven by context tree models; the projective method; evoked potentials in EEG data; retrieving the structure of probabilistic sequences from EEG data; clustering EEG data by law.

15:00 → 16:00 Coffee and informal discussions

jeudi 16 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 1st Doctoral course: Structural learning by the brain. C. Vargas, A. Duarte, M. Svarc

Content: Learning stochastic sequences of events by the brain; sequences of random objects driven by context tree models; statistical model selection for sequences of random objects driven by context tree models; the projective method; evoked potentials in EEG data; retrieving the structure of probabilistic sequences from EEG data; clustering EEG data by law.

15:00 → 16:00 Coffee and informal discussions

16:00 → 17:30 André Frazão Helene: Imagery and actual execution of sequential motor tasks

vendredi 17 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 1st Doctoral course: Structural learning by the brain. C. Vargas, A. Duarte, M. Svarc

Content: Learning stochastic sequences of events by the brain; sequences of random objects driven by context tree models; statistical model selection for sequences of random objects driven by context tree models; the projective method; evoked potentials in EEG data; retrieving the structure of probabilistic sequences from EEG data; clustering EEG data by law.

14:00 → 15:00 Christophe Pouzat: Where data come from and what do we model?

15:00 → 16:00 Gilles Laurent: Exploring the space of neural systems dynamics

16:00 → 16:30 Coffee break

lundi 20 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 2nd Doctoral course: Stochastic modeling of neural networks. by A. Galves and C. Pouzat. Lecture.

15:00 → 16:00 Coffee and informal discussions

16:00 → 17:00 Work in progress seminar: Erin Schuman (MPI)

mardi 21 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 2nd Doctoral course: Stochastic modeling of neural networks. by A. Galves and C. Pouzat. Lecture.

15:00 → 16:00 Coffee and informal discussions

mercredi 22 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 2nd Doctoral course: Stochastic modeling of neural networks. by A. Galves and C. Pouzat. Lecture.

15:00 → 16:00 Coffee and informal discussions

16:00 → 17:00 Work in progress seminar: Dasha Loukianova (Evry)

jeudi 23 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 2nd Doctoral course: Stochastic modeling of neural networks. by A. Galves and C. Pouzat. Lecture.

15:00 → 16:00 Coffee and informal discussions

16:00 → 17:00 Work in progress seminar

vendredi 24 mars

09:30 → 10:00 Coffee break

10:00 → 12:00 2nd Doctoral course: Stochastic modeling of neural networks. by A. Galves and C. Pouzat. Lecture.

15:00 → 16:00 Coffee and informal discussions

16:00 → 17:00 Work in progress seminar: Michel Davydov (INRIA Paris)

17:00 → 17:30 Work in progress seminar : Julien Aubert (Nice)

17:30 → 18:00 Work in progress seminar : Sophie Jaffard (Nice)

lundi 27 mars

09:00 → 09:30 Workshop: Networks of spiking neurons. Welcome coffee

09:30 → 10:30 Markus Diesmann: Simulation of large-scale neural networks.

10:30 → 11:00 Coffee break

11:00 → 12:00 Sacha van Albada, From structure to activity and back in spiking cortical models

12:00 → 12:20 Group photo

15:00 → 16:00 Ryota Kobayashi, Network inference from time series

16:00 → 16:30 Coffee break

16:30 → 17:30 Shigeru Shinomoto : Searching for neuronal activities involving behavioral changes in animals

mercredi 29 mars

09:30 → 10:30 Bruno Cessac: A dynamical system point of view

10:30 → 11:00 Coffee break

11:00 → 12:00 Massimiliano Tamborrino: ABC for neuronal data

14:00 → 15:00 Rodrigo Cofré:Scalable and accurate method for neuronal ensemble detection in spiking neural networks

15:00 → 16:00 Priscilla Greenwood: Building a stochastic neural circuit of cortical-pulvinar interaction

16:00 → 16:30 Coffee break

16:30 → 17:30 Mauro Piccioni and Emilio De Santis: Statistical model selection in the class of systems of interacting point processes with memory of variable length

17:30 → 19:30 Cocktail and poster session with a short oral introduction: Morgan André, Kadmo de Souza Laxa, Valentin Schmutz, Zoé Agathe-Nerine, Nadia Belmabrouk, Marie Levakova, Francesca Cavallini, Michel Davydov, Flavio Rusch, Nils Eric Greven

jeudi 30 mars

09:30 → 10:30 Thibaud Taillefumier, Replica-mean field limits of metastable dynamics

10:30 → 11:00 Coffee break

11:00 → 12:00 Tilo Schwalger : Mesoscopic description of metastability in spiking neural networks

14:00 → 15:00 Antonio C. Roque: Spontaneous activity patterns in networks of nonlinear two-dimensional integrate and fire neurons.

15:00 → 16:00 Etienne Tanré, Spatial and temporal correlations in spikes trains: adaptation or noise with memory?

16:00 → 16:30 coffee break

16:30 → 17:30 Reinhard Höpfner: On circuits of stochastic Hodgkin-Huxley neurons

vendredi 31 mars

09:30 → 10:30 Céline Duval, Recent results on Hawkes processes.

10:30 → 11:00 Coffee break

11:00 → 12:00 Guilherme Ost, Neural Coding as a Statistical Testing Problem

14:00 → 15:00 Gilles Louppe: Simulation based network inference.

15:00 → 16:00 Romain Veltz, Theoretical/numerical study of modulated traveling pulses in inhibition stabilized networks

16:00 → 16:30 Coffee break

16:30 → 17:30 Patricia Reynaud-Bouret, Encoding/decoding abilities of the DMS and DLS networks during learning

mardi 4 avril

10:00 → 12:00 Eva Löcherbach. Doctoral course: Perfect simulation of systems of interacting neurons.