Nous sommes un laboratoire de recherche publique situé à Paris spécialisé dans la psychophysique expérimentale et la psychologie développementale de la perception, de l´action, et du langage. Pour plus d’informations sur le LPP cliquez sur les liens à gauche.
Le LPP est une unité mixte Université Paris Descartes – CNRS – ENS. Pour le CNRS, nous sommes rattachés au département des sciences du vivant (section 27)
Notre rapport est disponible ici.
lun12Fév201811hSalle de réunion du LPP, H432, 4ème étage, Centre Biomédical des Saints Pères 45 rue des Sts Pères, 75006 Paris
LPP seminar: Yury Shtyrov, MindLab & Centre for Functionally Intergrative Neuroscience (CFIN), Aarhus University, DenmarkShow details
Automaticity and attentional control in neural language processing
A long-standing debate in the science of language is whether our capacity to process language draws on attentional resources, or whether some stages or types of this processing may be automatic. I will present a series of experiments in which this issue was addressed by removing attention to linguistic stimuli or by modulating the level of attention on the language input while recording brain activity. The overall results of these studies show that the language function does possess a certain degree of automaticity, which seems to apply to different types of information including lexical access, semantic processing, syntactic parsing and even acquisition of new lexemes. Furthermore, such an automaticity appears to exist in both auditory speech perception and visual processing of written words. It can be explained, at least in part, by robustness of strongly connected linguistic memory circuits in the brain that can activate fully even when attentional resources are low. At the same time, this automaticity is limited to the very first stages of linguistic processing (<200 msec from the point in time when the relevant information is available in the input, e.g. word recognition point). Later processing steps are, in turn, more affected by attention modulation and possibly reflect a more in-depth, secondary processing or re-analysis of input, dependant on the amount of resources allocated. The results will be discussed in the framework of distributed neural circuits which function as memory traces for language elements in the human brain.
Invited by Speech Team