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Recent publications
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Restitution projet étudiant.e.s MASCO
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ILCB Summer School
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Current and recent research projects
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FEATURED PUBLICATIONS

Speaking to a common tune: Betweenspeaker convergence in voice fundamental frequency in a joint speech production task Vincent Aubanel, Noël Nguyen
2020 PLOS/ONE
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models Johannes C. Ziegler, Conrad Perry, Marco Zorzi
2020 Current Directions in Psychological Science
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Error-based learning and lexical competition in word production: Evidence from multilingual naming  Elin Runnqvist, Kristof Strijkers, Albert Costa
2019 PLOS/ONE
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Constraints on the lexicons of human languages have cognitive roots present in baboons (Papio papio) Emmanuel Chemla, Isabelle Dautriche, Brian Buccola, and Joël Fagot.
2019 PNAS
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High-fidelity copying is not necessarily the key to cumulative cultural evolution: a study in monkeys and children Carmen Saldana, Joël Fagot, Simon Kirby, Kenny Smith, Nicolas Claidière
2019 Proceedings of the royal society B
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Bringing together experts in linguistics, neuroscience, psychology, medicine and computer science to understand and to model the way that language functions.

The objective is to create a generic model of the processing of language and its cerebral bases.

SUMMER SCHOOL

The 3d Edition of the ILCB Summer School offers Introductory, Intermerdiate and Advanced Classes in four core fields of Cognitive Science, reflecting the expertise of the Institute.
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PhD PROGRAM

An interdisciplinary focus on language research, with interdisciplinary theory and practice trainings at basic and advanced level courses in all relevant disciplines.
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MASTER

The MaSCo, a new MA in Cognitive Science, provides an advanced scientific curriculum on human cognition, as well as a technological and methodological expertise in evaluation, analysis and modeling of cognitive processes.
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TRAINING

Advanced trainings are offered to the ILCB members
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Aline Frey

Aline Frey was recently awarded the Prix Départemental pour la Recherche en Provence. Congratulations Aline! Aline works at the LNC (Laboratoire de neurosciences Cognitives) – INSPE of the Aix-Marseille academy -She conducts research in cognitive psychology, experimental psychology and neuropsychology. One of her main areas of interest is the effects of music training on speech […]

PhD projects

Ouvrir une fenêtre sur l’esprit des lecteurs : Détermination par TMS et EEG du réseau cortical impliqué dans le comportement oculomoteur de lecture Régis Mancini Supervisors : Françoise Vitu, Laboratoire de Psychologie Cognitive & Boris Burle Laboratoire de Neurosciences cognitives Bridging communication in behavioural and neural dynamics Isaïh Mohamed Supervisors : Daniele Schön, Institut de […]

FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance

Virginia Aglieri, Bastien Cagna, Lionel Velly, Sylvain Takerkart, Pascal Belin Abstract Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI […]

Reproducibility in speech rate convergence experiments

Simone Fuscone, Benoit Favre & Laurent Prévot Abstract The reproducibility of scientific studies grounded on language corpora requires approaching each step carefully, from data selection and pre-processing to significance testing. In this paper, we report on our reproduction of a recent study based on a well-known conversational corpus (Switchboard). The reproduced study Cohen Priva et […]

Charte de signature

• Normal version EN : This work, carried out within the Institut Convergence ILCB (ANR-16-CONV-0002), has benefited from support from the French government, managed by the French National Agency for Research (ANR) and the Excellence Initiative of Aix-Marseille University (A*MIDEX) • Short version EN : Research supported by grants ANR-16-CONV-0002 (ILCB) and the Excellence Initiative […]

Probing machine-learning classifiers using noise, bubbles, and reverse correlation

Etienne Thoret, Thomas Andrillon, Damien Léger, Daniel Pressnitzer Abstract Many scientific fields now use machine-learning tools to assist with complex classification tasks. In neuroscience, automatic classifiers may be useful to diagnose medical images, monitor electrophysiological signals, or decode perceptual and cognitive states from neural signals. Tools such as deep neural networks regularly outperform humans with […]