Nouvelles avancées sur les facteurs génétiques impliqués dans la dyslexie

La dyslexie est un trouble spécifique de l’acquisition de la lecture et de l’orthographe, qui affecte environ 5% des enfants. Les études de familles et de jumeaux ont suggéré depuis longtemps une composante génétique à la dyslexie. Ces 20 dernières années, plusieurs études ont avancé que certains gènes étaient associés à la dyslexie mais les résultats génétiques étaient jusqu’à présent peu informatifs, car les effectifs étaient encore insuffisants pour mener des analyses à l’échelle du génome entier.

Language recovery: brain networks and aphasia rehabilitation in the chronic stage post stroke

Anomia (word finding difficulties) is the hallmark of chronic aphasia.  Speech production is dependent both on regional changes within the left inferior frontal cortex (LIFC) and modulation between and within anatomically distinct but functionally connected brain regions. Interregional changes are particularly important in speech recovery after stroke, when neural plasticity changes underpinning behavioural improvements are observed in both ipsilesional and contralesional frontal cortices.

A psycholinguistic look at subjective predicates: When faultless disagreement is not so faultless

The information we encounter on a daily basis involves both objective facts about the world and people’s subjective opinions. This distinction is also reflected in language: Words that express opinions (e.g. fun, amazing) differ from words conveying more objective facts (e.g. wooden, Bostonian): Subjective adjectives are perspective-sensitive and reflect someone’s opinion/attitude.

How robust are meta-analyses to publication bias? Sensitivity analysis methods and empirical findings

Publication bias can distort meta-analytic results, sometimes justifying considerable skepticism toward meta-analyses. This talk will discuss recently developed statistical sensitivity analyses for publication bias, which enable statements such as: “For publication bias to shift the observed point estimate to the null, ‘significant’ results would need to be at least 10-fold more likely to be published than negative or ‘non-significant’ results” or “no amount of publication bias could explain away the average effect.” The methods are based on inverse-probability weighted estimators and use r

The rational use of cognitive resources

Psychologists and computer scientists have very different views of the mind. Psychologists tell us that humans are error-prone, using simple heuristics that result in systematic biases. Computer scientists view human intelligence as aspirational, trying to capture it in artificial intelligence systems. How can we reconcile these two perspectives? In this talk, I will argue that we can do so by reconsidering how we think about rational action.