Interpretability of statistical approaches in speech and language neuroscience - ENS - École normale supérieure Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2023

Interpretability of statistical approaches in speech and language neuroscience

Résumé

The classical view of the speech and language neural system is that of a hierarchy of interdependent modules, enabling the progressive transformation of a continuous acoustic stream into an articulated series of concepts. This modular and hierarchical view follows from the combination of lesion studies (double dissociations) and hypothesis-based factorial designs in which only a few sensory or cognitive factors are varied at a time. In the last ten years, however, data-driven explorations of large neuroimaging datasets have allowed for a more agnostic approach, and led to a whole new view where segregated hierarchically organized modules seem to give way to continuous multidimensional representations, with e.g. a distributed semantic system. While both approaches have brought about significant contributions to speech and language neuroscience, making coherent sense of them represents a substantial challenge. In this review article, we synthesize methodological and experimental findings from the speech and language neuroscience literature, dissecting strength and pitfalls of each approach and suggesting ways in which approaches could be integrated.

Domaines

Neurosciences
Fichier principal
Vignette du fichier
ms.pdf (4.23 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04284936 , version 1 (15-11-2023)

Identifiants

Citer

Sophie Bouton, Valerian Chambon, Narly Golestani, Elia Formisano, Timothée Proix, et al.. Interpretability of statistical approaches in speech and language neuroscience. 2023. ⟨hal-04284936⟩
82 Consultations
58 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More