Defining an integrated model of the neural processing of speech in light of its multiscale dynamics

This project aims to develop an integrated model of speech perception by analyzing neural oscillatory dynamics and their relationship with linguistic timescales using advanced neuroimaging techniques.

Subsidie
€ 1.861.100
2022

Projectdetails

Introduction

This interdisciplinary project will define an integrated model of speech processing by recording, modelling, and manipulating neural oscillatory dynamics during the perception of speech defined as a multiscale temporal signal.

Background

Dominant models of speech perception describe its underlying neural mechanisms at a static neuroanatomical level, neglecting the cognitive algorithmic and neural dynamic levels of description. These latter can only be investigated by considering the temporal dimension of speech, which is structured according to a hierarchy of linguistic timescales (phoneme, syllable, word, phrase).

Recent Advances

Recent advances in behavioural paradigms, computational modelling, and neuroimaging data analysis make it now possible to investigate the cognitive algorithms and neural dynamics subtending the processing of speech.

Project Objectives

To define an integrated model of speech perception, this project seeks to:

  1. Record neural activity in humans with magnetoencephalography and intracranial recordings during the perception of continuous speech.
  2. Quantify linguistic information at each timescale of speech with a computational model.
  3. Estimate their respective and shared neural correlates with multivariate and directed connectivity analyses.

Feasibility

Feasibility is ensured by in-house access to neuroimaging and intracranial recordings as exemplified in the data on Figure 1 of this proposal.

Research Significance

This project will critically test whether neural oscillations play a fundamental role in the computational processes of perception and cognition. It will define the mapping between speech and neural timescales and reveal how information is transferred and combined along the linguistic computational processing hierarchy.

Contributions of Hemispheric Pathways

It will overall specify—in terms of the nature of the information processed and of the dynamical hierarchical organization—the respective contributions of left and right hemispheric ventral and dorsal auditory pathways in speech processing.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.861.100
Totale projectbegroting€ 1.861.100

Tijdlijn

Startdatum1-10-2022
Einddatum30-9-2027
Subsidiejaar2022

Partners & Locaties

Projectpartners

  • INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALEpenvoerder

Land(en)

France

Vergelijkbare projecten binnen European Research Council

ERC Starting...

Empirical and mechanistic foundations for synergistic predictive processing in the sensory brain

SynPrePro aims to integrate hierarchical predictive coding with subcortical processing to enhance understanding of sensory input processing and its implications for perceptual disorders.

€ 1.499.945
ERC Starting...

A Predictive Coding Perspective of Brain Dynamics: the case of Oscillatory Travelling Waves

This project investigates the role of oscillatory traveling waves in brain dynamics using a multi-scale computational model to enhance understanding of cognitive functions and improve artificial vision systems.

€ 1.427.563
ERC Advanced...

Aligning Brain Rhythms: Understanding the mechanisms of cortical tracking of speech to improve language functions with real time closed-loop neurofeedback

This project aims to identify early biomarkers for learning disabilities and enhance language processing through neuroimaging, cortical tracking of speech, and real-time neurofeedback interventions.

€ 2.500.000
ERC Consolid...

Language in the Dyad. Linking linguistic and neural alignment.

This project investigates the relationship between neural and linguistic alignment in dyadic communication using EEG hyper-scanning and interactive language games to enhance understanding of dialogue dynamics.

€ 1.997.048
ERC Synergy ...

Natural Auditory SCEnes in Humans and Machines: Establishing the Neural Computations of Everyday Hearing

The NASCE project aims to understand auditory scene analysis by developing the Semantic Segmentation Hypothesis, integrating neuroscience and AI to enhance comprehension and applications in machine hearing.

€ 8.622.811