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2020/06/01 - LNC - Yearbook 2019 Carnot Cognition

Institut Cognition LNC Fédération 3C

 

Le LNC, membre de l’Institut Carnot COGNITION…

Pour rappel, les instituts Carnot favorisent le rapprochement des acteurs de la recherche publique et du monde socio-économique, afin d'accélérer le passage de la recherche à l'innovation et d'accroître le transfert de technologies vers les acteurs économiques. Le label Carnot fait l'objet d'une évaluation régulière, ce qui garantit l'intégration de nouveaux laboratoires au dispositif et le maintien au meilleur niveau des bénéficiaires.

Constitué de 22 Unités de Recherche, l’Institut Carnot COGNITTION a pour ambition d'offrir à ses partenaires industriels une approche de recherche partenariale dans les technologies cognitives (augmentation cognitive, cognition collective, évaluations comportementales cognitives et langage et cognition), fondée sur une interdisciplinarité, et en réponse à leurs enjeux d'innovation et de compétitivité. Pour plus de détails : http://www.institut-cognition.com/linstitut-cognition/

Dans ce cadre, voici les principaux faits de 2019 que le LNC a souhaité mettre en avant au sein du Yearbook 2019 de l’Institut Carnot COGNITION : Le yearbook 2019

 

Technologies d’augmentation cognitive
ParkInSon Sonifier le mouvement humain pour optimiser son contrôle et (ré)apprentissage

Evaluations comportementales cognitives
Benefits of action on timing in childhood

Cognition collective
Development of automatic interpersonal motor alignment

Cognition & langage
Lecture sur livre imprimé et sur e book: Quel impact sur la compréhension du texte?

2020/04/05 - LLPC - Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers

authors

  • Gala Núria
  • Tack Anaïs
  • Javourey-Drevet Ludivine
  • François Thomas
  • Ziegler Johannes C.

keywords

  • Dyslexia
  • Poor-readers
  • Misreading
  • Linguistic complexity
  • Readability
  • Text simplification
  • Parallel corpora

document type

COMM

abstract

In this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to read. The corpus is composed of excerpts drawn from 79 authentic literary (tales, stories) and scientific (documentary) texts commonly used in French schools for children aged between 7 to 9 years old. The excerpts were manually simplified at the lexical, morpho-syntactic, and discourse levels in order to propose a parallel corpus for reading tests and for the development of automatic text simplification tools. A sample of 21 poor-reading and dyslexic children with an average reading delay of 2.5 years read a portion of the corpus. The transcripts of readings errors were integrated into the corpus with the goal of identifying lexical difficulty in the target population. By means of statistical testing, we provide evidence that the manual simplifications significantly reduced reading errors, highlighting that the words targeted for simplification were not only well-chosen but also substituted with substantially easier alternatives. The entire corpus is available for consultation through a web interface and available on demand for research purposes.

2020/03/05 - LNSC - Rochelle ACKERLEY Médaille de bronze 2020 CNRS

La médaille de bronze récompense les premiers travaux consacrant des chercheurs et des chercheuses spécialistes de leur domaine. Cette distinction représente un encouragement du CNRS à poursuivre des recherches bien engagées et déjà fécondes.
 

Rochelle ACKERLEY - Laboratoire de neurosciences sensorielles et cognitives (LNSC - CNRS/Aix-Marseille Université) - Délégation Provence et Corse - Institut des sciences biologiques (INSB)

site officiel

2020/03/01 - Le LNC s’intègre à l'Institut Carnot Cognition !

  • Le Label Carnot (créé en 2006) est un label d'excellence décerné à des établissements de recherche à l'issue d'appels à candidatures.
  • Les instituts Carnot favorisent le rapprochement des acteurs de la recherche publique et du monde socio-économique.
  • 37 Instituts Carnot sont labellisés pour 4 ans - 62 Millions d'Euros de financement annuels visant à renforcer la recherche partenariale

 

Depuis le 7 Février l'Institut Cognition fort de ses 22 unités dont le LNC : CHArt, IJN, LSP, EnsadLab, SCALab, LIMSI, LEAD, GIPSA-lab, LIG, IMS, IRIT, LIA, LPC – plus : LSCP, COSTECH, LaPEA, Centre BORELLI (fusion de Cognac G et CMLA au 1/1/2020), LPNC, CeRCA, CRCA, LPL avec le soutien de ses 25 tutelles : CNRS, ENS, Bordeaux INP, Univ. Bordeaux, Grenoble INP, Univ. Grenoble Alpes, Univ. Bourgogne, Univ. Lille, Univ. Toulouse 3 Paul Sabatier, Toulouse INP, Univ. Toulouse Capitole, Univ. Toulouse 2, AMU, ENSAD, Univ. Avignon, Univ. Paris 8, EPHE, EHESS, UTC, ENS Paris Saclay, Univ. Paris Descartes, IFFSTAR, Univ. Savoie, Univ. Poitiers, Univ. Tours a obtenu le label Carnot COGNITION.

 

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2020/02/10 - LNC : Irrelevant auditory and tactile signals, but not visual signals, interact with the target onset and modulate saccade latencies

authors

  • Vidal Manuel
  • Desantis Andrea
  • Madelain Laurent

document type

ART

abstract

Saccadic eye movements bring events of interest to the center of the retina, enabling detailed visual analysis. This study explored whether irrelevant auditory (experiments A, B & F), visual (C & D) or tactile signals (E & F) delivered around the onset of a visual target modulates saccade latency. Participants were instructed to execute a quick saccade toward a target stepping left or right from a fixation position. We observed an interaction between auditory beeps or tactile vibrations and the oculomotor reaction that included two components: a warning effect resulting in faster saccades when the signal and the target were presented simultaneously; and a modulation effect with shorter-or longer-latencies when auditory and tactile signals were delivered before-or after-the target onset. Combining both modalities only increased the modulation effect to a limited extent, pointing to a saturation of the multisensory interaction with the motor control. Interestingly, irrelevant visual stimuli (black background or isoluminant noise strips in peripheral vision, flashed for 10 ms) increased saccade latency whether they were presented just before or after target onset. The lack of latency reduction with visual signals suggests that the modulation observed in the auditory and tactile experiments was not related to priming effects but rather to low-level audio-and tactile-visual integration. The increase in saccade latency observed with irrelevant visual stimuli is discussed in relation to saccadic inhibition. Our results demonstrate that signals conveying no information regarding where and when a visual target would appear modulate saccadic reactivity, much like in multisensory temporal binding, but only when these signals come from a different modality.

2020/02/15 - LPC - Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models

authors

  • Ziegler Johannes C
  • Perry Conrad
  • Zorzi Marco

keywords

  • Computational modeling
  • Dyslexia
  • Literacy
  • Reading
  • Reading development

document type

ART

abstract

How do children learn to read? How do deficits in various components of the reading network affect learning outcomes? How does remediating one or several components change reading performance? In this article, we summarize what is known about learning to read and how this can be formalized in a developmentally plausible computational model of reading acquisition. The model is used to understand normal and impaired reading development (dyslexia). In particular, we show that it is possible to simulate individual learning trajectories and intervention outcomes on the basis of three component skills: orthography, phonology, and vocabulary. We therefore advocate a multifactorial computational approach to understanding reading that has practical implications for dyslexia and intervention.

2020/01/21 - LPC - Measuring social networks in primates

 

authors

  • Gelardi Valeria
  • Godard Jeanne
  • Paleressompoulle Dany
  • Claidière Nicolas
  • Barrat Alain

keywords

  • Temporal network
  • Wearable proximity sensors
  • Animal social network

document type

ART

abstract

Technology, Japan Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioral observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Sensors data yield moreover a reliable social network already over short timescales and can be used for long term campaigns, showing their important potential for detailed studies of the evolution of animal social groups.

2020/01/20 - LNC : Accelerating the Evolution of Nonhuman Primate Neuroimaging

authors

  • Milham Michael
  • Petkov Christopher
  • Margulies Daniel
  • Schroeder Charles
  • Basso Michele
  • Belin Pascal
  • Fair Damien
  • Fox Andrew
  • Kastner Sabine
  • Mars Rogier
  • Messinger Adam
  • Poirier Colline
  • Vanduffel Wim
  • van Essen David
  • Alvand Ashkan
  • Becker Yannick
  • Ben Hamed Suliann
  • Benn Austin
  • Bodin Clémentine
  • Boretius Susann
  • Cagna Bastien
  • Coulon Olivier
  • El-Gohary Sherif Hamdy
  • Evrard Henry
  • Forkel Stephanie
  • Friedrich Patrick
  • Froudist-Walsh Seán
  • Garza-Villarreal Eduardo
  • Gao Yang
  • Gozzi Alessandro
  • Grigis Antoine
  • Hartig Renee
  • Hayashi Takuya
  • Heuer Katja
  • Howells Henrietta
  • Ardesch Dirk Jan
  • Jarraya Bechir
  • Jarrett Wendy
  • Jedema Hank
  • Kagan Igor
  • Kelly Clare
  • Kennedy Henry
  • Klink P. Christiaan
  • Kwok Sze Chai
  • Leech Robert
  • Liu Xiaojin
  • Madan Christopher
  • Madushanka Wasana
  • Majka Piotr
  • Mallon Ann-Marie
  • Marche Kevin
  • Meguerditchian Adrien
  • Menon Ravi
  • Merchant Hugo
  • Mitchell Anna
  • Nenning Karl-Heinz
  • Nikolaidis Aki
  • Ortiz-Rios Michael
  • Pagani Marco
  • Pareek Vikas
  • Prescott Mark
  • Procyk Emmanuel
  • Rajimehr Reza
  • Rautu Ioana-Sabina
  • Raz Amir
  • Roe Anna Wang
  • Rossi-Pool Román
  • Roumazeilles Lea
  • Sakai Tomoko
  • Sallet Jerome
  • García-Saldivar Pamela
  • Sato Chika
  • Sawiak Stephen
  • Schiffer Marike
  • Schwiedrzik Caspar
  • Seidlitz Jakob
  • Sein Julien
  • Shen Zhi-Ming
  • Shmuel Amir
  • Silva Afonso
  • Simone Luciano
  • Sirmpilatze Nikoloz
  • Sliwa Julia
  • Smallwood Jonathan
  • Tasserie Jordy
  • Thiebaut de Schotten Michel
  • Toro Roberto
  • Trapeau Régis
  • Uhrig Lynn
  • Vezoli Julien
  • Wang Zheng
  • Wells Sara
  • Williams Bella
  • Xu Ting
  • Xu Augix Guohua
  • Yacoub Essa
  • Zhan Ming
  • Ai Lei
  • Amiez Céline
  • Balezeau Fabien
  • Baxter Mark
  • Blezer Erwin L.A.
  • Brochier Thomas
  • Chen Aihua
  • Croxson Paula
  • Damatac Christienne
  • Dehaene Stanislas
  • Everling Stefan
  • Fleysher Lazar
  • Freiwald Winrich
  • Griffiths Timothy
  • Guedj Carole
  • Hadj-Bouziane Fadila
  • Harel Noam
  • Hiba Bassem
  • Jung Benjamin
  • Koo Bonhwang
  • Laland Kevin
  • Leopold David
  • Lindenfors Patrik
  • Meunier Martine
  • Mok Kelvin
  • Morrison John
  • Nacef Jennifer
  • Nagy Jamie
  • Pinsk Mark
  • Reader Simon
  • Roelfsema Pieter
  • Rudko David
  • Rushworth Matthew F.S.
  • Russ Brian
  • Schmid Michael Christoph
  • Sullivan Elinor
  • Thiele Alexander
  • Todorov Orlin
  • Tsao Doris
  • Ungerleider Leslie
  • Wilson Charles R.E.
  • Ye Frank
  • Zarco Wilbert
  • Zhou Yong-Di

document type

ART

2019/11/29 - LPC - Victoires de la Santé : prix espoir patient pour l'équipe de la chercheuse Pascale Colé

L'équipe de la chercheuse Pascale Colé (équipe Langage du LPC, CNRS, AMU) récompensée du prix espoir patient pour son travail sur la dyslexie

 

Article "La Provence"

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