NeuroComp @ Paris 2019

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Date/Time
Date(s) - 17/06/2019
All Day

Location
Université Pierre et Marie Curie (salle 106, barre 44-45)

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Symposium de Neurosciences Computationnelles à Paris

17 Juin 2019

Descriptif

Les neurosciences computationnelles combinent expérimentation et modélisation dans l’exploration des mécanismes causaux responsables des grandes fonctions du cerveau (perception, cognition, motricité, leurs apprentissages et leurs dysfonctions). Les interactions réelles entre expérimentation et modélisation sont fondamentales pour la progression de notre compréhension du système nerveux. La modélisation offre un cadre formel quantitatif en permettant une aide à l’interprétation des données et en proposant des prédictions testables expérimentalement. L’expérimentation permet de contraindre les modèles afin qu’ils ne soient pas arbitrairement formels, mais tangiblement enracinés dans la réalité biologique. Au centre de ces deux approches complémentaires, il y a la volonté d’élucider les mécanismes sous-jacents responsables des fonctions physiologiques étudiées, et de comprendre la logique des interactions multi-échelles, des déterminants moléculaires jusqu’à la dynamique des réseaux de neurones.

Ce symposium ouvert à tous fait suite à trois éditions internes à l’ex-UPMC et une édition ouverte à la communauté des neurosciences computationnelles à Paris. Il est pensé comme une occasion de rencontre et d’échange entre les différents acteurs de la communauté des neurosciences, autour des interactions modélisation-expérimentation.

Les participants sont invités à présenter leurs travaux sous forme de poster ou de présentation orale. Les modèles ainsi que les données en attente de modélisation sont les bienvenus !

Organisateurs : Marwen Belkaid, Romain Brette, Bruno Delord, Philippe Faure, Benoît Girard, Jérémie Naudé, Pierre Yger

Date limite d’inscription le 31 Mai 2019

Accès: salle 106, premier étage barre 44-45, UPMC. Accès uniquement par la tour 44

Inscription gratuite mais obligatoire

Programme

  • 09:30 – 10:00 Accueil café
  • 10:00 – 10:30 Claire Sergent (Descartes) “Brain dynamics associated with reported or covert conscious perception”
  • 10:30 – 11:00 Romain Brette (SU) “Theoretical neuroscience of Paramecium, a swimming neuron”
  • 11:00 – 11:30 Pause café
  • 11:30 – 11:50 Charlotte Piette (CDF) “Modeling the impact of deep brain stimulation on information processing”
  • 11:50 – 12:10 Jonas Ranft (ENS) “Cerebellar learning using perturbations”
  • 12:10 – 12:30 Alexis Dubreuil (ENS) “Minimal-dimensionality implementation of behavioral tasks in recurrent networks”
  • 12:30 – 14:30 Buffet + Posters
  • 14:30 – 15:00 Gabrielle Girardeau (IFM) “Neural bases for the processing of memory during sleep”
  • 15:00 – 15:20 Denis Sheynikhovich (SU) “Modeling place cells and grid cells in multi-compartment environments”
  • 15:20 – 15:40 Sebastien Wolf (ENS) “From behavior to neural network model: modelling navigation in zebrafish”
  • 15:40 – 16:00 Pause café
  • 16:00 – 16:30 Valérie Ego-Stengel (Saclay) “A closed-loop brain machine interface: Integrating sensory feedback in a motor neuroprosthesis”
  • 16:30 – 17:00 Jean Daunizeau (ICM) “Is laziness contagious? A computational approach to attitude alignment in neurotypic and autistic individuals.”

Posters annoncés:

  • Sarazin Matthieu (SU) “Neural trajectories with STDP in a RNN model under asynchronous dynamics”
  • Danica Despotović (SU) “Predictive coding in salamander retina”
  • Vincent Bouttier “Fitting behavioural data recorded under ketamine with the Circular Inference model”
  • Tristan Fauvel (SU) “Adaptive optimisation of visual prosthetic stimulation”
  • Anirudh Kulkarni (SU) TBD
  • Benoit Girard (SU), Jean Liénard, Laurent Chateau and Kenji Doya “Selection and oscillations in a spiking model of the Basal Ganglia”

English version

Computational neuroscience combines experimentation and modeling in the exploration of the causal mechanisms responsible for the major functions of the brain (perception, cognition, motor skills, their learning and their dysfunctions). Interactions between experimentation and modeling are fundamental to the progress of our understanding of the nervous system. Modeling provides a quantitative formal framework allowing data interpretation and leading to experimentally testable predictions. Experiments constrain models so that they are not arbitrarily formal, but tangibly rooted in biological reality. At the center of these two complementary approaches is the desire to elucidate the underlying mechanisms responsible for the physiological functions studied, and to understand the logic of multi-scale interactions, from molecular determinants to the dynamics of neural networks.

This open symposium follows three internal editions of the UPMC. It is thought of as an opportunity for meeting and exchange between the different actors of the neuroscience community, around modeling-experimentation interactions.

Participants are invited to present their work as a poster or oral presentation. Models and data waiting for models are welcome!

Organizers: Marwen Belkaid, Romain Brette, Bruno Delord, Philippe Faure, Benoît Girard, Jérémie Naudé, Pierre Yger

Deadline for registration is set to May 31th 2019

Venue: room 106, first floor towers 44-45, UPMC. Access only possible from tower 44

Registration is free but mandatory

Program

  • 09:30 – 10:00 Welcome coffee
  • 10:00 – 10:30 Claire Sergent (Descartes) “Brain dynamics associated with reported or covert conscious perception”
  • 10:30 – 11:00 Romain Brette (SU) “Theoretical neuroscience of Paramecium, a swimming neuron”
  • 11:00 – 11:30 Coffe break
  • 11:30 – 11:50 Charlotte Piette (CDF) “Modeling the impact of deep brain stimulation on information processing”
  • 11:50 – 12:10 Jonas Ranft (ENS) “Cerebellar learning using perturbations”
  • 12:10 – 12:30 Alexis Dubreuil (ENS) “Minimal-dimensionality implementation of behavioral tasks in recurrent networks”
  • 12:30 – 14:30 Lunch + Posters
  • 14:30 – 15:00 Gabrielle Girardeau (IFM) “Neural bases for the processing of memory during sleep”
  • 15:00 – 15:20 Denis Sheynikhovich (SU) “Modeling place cells and grid cells in multi-compartment environments”
  • 15:20 – 15:40 Sebastien Wolf (ENS) “From behavior to neural network model: modelling navigation in zebrafish”
  • 15:40 – 16:00 Coffee break
  • 16:00 – 16:30 Valérie Ego-Stengel (Saclay) “A closed-loop brain machine interface: Integrating sensory feedback in a motor neuroprosthesis”
  • 16:30 – 17:00 Jean Daunizeau (ICM) “Is laziness contagious? A computational approach to attitude alignment in neurotypic and autistic individuals.”

Announced posters:

  • Sarazin Matthieu (SU) “Neural trajectories with STDP in a RNN model under asynchronous dynamics”
  • Danica Despotović (SU) “Predictive coding in salamander retina”
  • Vincent Bouttier “Fitting behavioural data recorded under ketamine with the Circular Inference model”
  • Tristan Fauvel (SU) “Adaptive optimisation of visual prosthetic stimulation”
  • Anirudh Kulkarni (SU) TBD
  • Benoit Girard (SU), Jean Liénard, Laurent Chateau and Kenji Doya “Selection and oscillations in a spiking model of the Basal Ganglia”

Sponsors

 

 

 

Bookings

Bookings are closed for this event.