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

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).

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.