Understanding The Multisensory Integration Process

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.- 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
- 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.-
- 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

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