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BEGIN:VEVENT
UID:34525@https://evenements.uqam.ca
DTSTART:20261022T103000Z
SEQUENCE:4
TRANSP:OPAQUE
URL:https://evenements.uqam.ca/evenements/seminaire-au-dic-sensorimotor-str
 ucture-in-lexical-meaning-par-louise-connell/34525?date=2026-10-22_10-30-0
 0
LOCATION:UQAM - Pavillon Président-Kennedy (PK) (201\, avenue du Présiden
 t-Kennedy\, Montréal )
SUMMARY:Séminaire au DIC: «Sensorimotor Structure in Lexical Meaning» pa
 r Louise Connell
CLASS:PUBLIC
DESCRIPTION:Séminaire ayant lieu dans le cadre du Doctorat en informatique
  cognitive\, en collaboration avec le centre de recherche CRIA      
        \n\n\n \n\n\nTITRE : Sensorimotor Structure in Lexical Me
 aning\n\n\n \n\n\nLouise Connell\n\n\nJeudi le 22 octobre 2026 à 10h30\n
 \n\nLocal PK-5115 (Il est possible d'y assister en virtuel en vous inscri
 vant ici)                \n\n\n \n\n\nRÉSUMÉ\n\n\nThe c
 ognitive sciences view concepts as the heart of cognition\, yet it remains
  a matter of debate how we mentally represent lexical meanings as diverse 
 as cat\, affection\, and calculus. Grounded theories of representation hol
 d that the same neural systems engaged during perception and action experi
 ence are also engaged when meaning is processed during conceptual tasks\, 
 thus providing a grounding mechanism for semantic memory. However\, the co
 ntribution of sensorimotor information beyond the senses of vision and hea
 ring (and to a lesser extent touch and smell) is not well understood\, nor
  is the role of sensorimotor information in grounding abstract concepts. B
 y incorporating a multidimensional variety of perceptual experience from a
  range of distinct modalities and action experience from a range of distin
 ct bodily effectors\, and doing so at the full scale of adult semantic mem
 ory (approximately 40k lexical concepts)\, we have tested grounded theorie
 s across a broad variety of cognitive tasks. From semantic similarity to v
 isual word recognition to categorical structure\, we find that the sensori
 motor experience underlying meaning representations plays an essential rol
 e in both concrete and abstract domains. Overall\, these findings suggest 
 that sensorimotor information helps provide humans with a robust\, flexibl
 e conceptual system\, where the distinction between abstract and concrete 
 words is not as clearcut as ontological assumptions might suggest.\n\n\n 
 \n\n\nBIOGRAPHIE\n\n\nLouise CONNELL is a Professor in the Department of P
 sychology at Maynooth University\, part of the National University of Irel
 and. An interdisciplinary researcher in psychology and cognitive science\,
  she specializes in the sensorimotor basis of concepts in semantic memory 
 and the role of language in cognition. Using techniques from cognitive psy
 chology\, psycholinguistics\, corpus linguistics and computational cogniti
 ve modelling\, her work has pioneered methods to examine how language and 
 sensorimotor experience underpin key cognitive functions like categorisati
 on\, memory encoding\, and abstract thought\n\n\n \n\n\nRÉFÉRENCES \n\
 n\nBanks\, B.\, &amp\; Connell\, L. (2022). Multidimensional sensorimotor 
 grounding of concrete and abstract categories. Philosophical Transactions 
 of the Royal Society B: Biological Sciences\, 378(1870)\, Article 20210366
 . https://doi.org/10.1098/rstb.2021.0366\n\n\nConnell\, L.\, &amp\; Lynott
 \, D. (2014).  Principles of representation: Why you can't represent the 
 same concept twice.  TopiCS in Cognitive Science\, 6\, 390-406. https://d
 oi.org/10.1111/tops.12097\n\n\nConnell\, L.\, &amp\; Lynott\, D. (2024). W
 hat can language models tell us about human cognition? Current Directions 
 in Psychological Science\, 33(3)\, 181-189. https://doi.org/10.1177/096372
 14241242746\n\n\nLynott\, D.\, Connell\, L.\, Brysbaert\, M.\, Brand\, J.\
 , &amp\; Carney\, J. (2020). The Lancaster Sensorimotor Norms: Multidimens
 ional measures of perceptual and action strength for 40\,000 English words
 . Behavior Research Methods\, 52\, 1271-1291. https://doi.org/10.3758/s134
 28-019-01316-z\n\n\nWingfield\, C.\, &amp\; Connell\, L. (2023). Sensorimo
 tor distance: A fully grounded measure of semantic similarity for 800 mill
 ion concept pairs. Behavior Research Methods\, 55\, 3416–3432. https://d
 oi.org/10.3758/s13428-022-01965-7\n\nMot-clés : Séminaire\, LLMs\, Neuro
 QAM\, Neurolab\, LATECE UQAM INFORMATIQUE\, LATECE\, CRIA\, Département d
 e Neuroscience\, Sciences cognitives\, neurosciences cognitives\, Philosop
 hie\, Sciences cognitive\, École de langues\, Institut des sciences cogni
 tives\, Apprentissage du langage naturel\, sciences du langage\, apprentis
 sage machine\, apprentissage profond\, langage automatique\, langage cogni
 tif\, metacognition\, Cognition humaine\, Cognition\, intelligence\, IA \;
  intelligence artificielle\, société\, IA\, intelligence artificielle\, 
 chatGPT\, enseignement supérieur\, IA\, intelligence artificielle\, dépa
 rtement de linguistique\, maîtrise en psychologie\, Maîtrise en informat
 ique\, doctorat en psychologie\, département de psychologie\, Faculté de
 s sciences de l'UQAM\, Faculté des sciences\, Département d'informatique
 \, doctorat en informatique cognitive\, doctorat en informatique\n\nPrix :
  Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20260925T220226Z
CREATED:20260922T151219Z
LAST-MODIFIED:20260924T122830Z
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