Understanding the Multisensory integration process through whole brain network modelling H/F

Détail de l'offre

Informations générales

Entité de rattachement

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

• La conscience des responsabilités
• La coopération
• La curiosité
  

Référence

2024-33304  

Description du poste

Domaine

Recherche biomédicale, clinique, préclinique

Contrat

Stage

Intitulé de l'offre

Understanding the Multisensory integration process through whole brain network modelling H/F

Sujet de stage

Understanding the Multisensory integration process through whole brain network modelling.

Durée du contrat (en mois)

6 Months

Description de l'offre

Multisensory integration (MSI) is a fundamental aspect of perception, enabling organisms to combine inputs from different sensory modalities to form a unified representation of the external world.
MSI involves a complex interplay of neural mechanisms across various brain regions and levels of processing. Due to the rapid advancement in immersive technologies, studying this phenomenon has become an essential part of the development process. May it be for understanding user need or development of an entirely new medical device a neuro-technological perspective is essential.

This project aims to develop and analyse nature inspired computational model(s) (existing and new) of MSI in whole brain networks. By simulating how the brain processes and combines information from multiple senses, we seek to gain insights into the mechanisms underlying this complex cognitive process.

This internship will give the candidate an exposure to work on existing computational models and develop a state of the art MSI simulator that mimics:

1. How the brain integrates Multisensory sensory information at a multiscale level. (From the convergence of sensory inputs to the modulation of attention and the hierarchical organization of sensory information, the brain creates a unified perceptual experience from diverse sensory modalities)
2. A detailed multiscale neural mass MSI model (MNM-MSI) is to be analysed and Integrated into a whole brain mean field model (Validation using real data behavioural data).

 

Moyens / Méthodes / Logiciels

AI/Modelling/Computational Neuroscience/Python

Profil du candidat

Masters M1/M2 in Neuroscience/Informatics/Computer Science/Electronics/Datascience.

The position requires strong backgrounds in statistical, signal processing/machine learning knowledge along with some technical competence in neurological/BCI data.

In addition, a background in the theory and practice of latent variable analysis methods, such 

as blind source separation, and deep learning techniques are highly desirable.

The successful candidate should have excellent programming experience with Python and/or MAT LAB and should be willing to devote time and effort to acquire the necessary skills and knowledge with the mentors' support.

Good oral and written English skills are essential.

 

In line with CEA's commitment to integrating people with disabilities, this job is open to all.

Localisation du poste

Site

Saclay

Localisation du poste

France, Ile-de-France, Essonne (91)

Ville

Palaiseau

Demandeur

Disponibilité du poste

01/02/2025