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DTSTART;VALUE=DATE:20251212
DTEND;VALUE=DATE:20251213
DTSTAMP:20260429T020524
CREATED:20251209T093728Z
LAST-MODIFIED:20251209T093912Z
UID:36328-1765497600-1765583999@www.ilcb.fr
SUMMARY:NLP & Cognition: Exploring the Interfaces
DESCRIPTION:The NLP & Cognition working group (GT) of the GDR TAL – CNRS is pleased to announce its upcoming meeting: \nhttps://docs.google.com/document/d/1PKVes0OPHQ5kJUkYroZV85sAKtKe2eSfnM1JbwBgGxw/edit?tab=t.0#heading=h.h07fvminzexw
URL:https://www.ilcb.fr/event/nlp-cognition-exploring-the-interfaces/
LOCATION:FRUMAM\, 3 place Victor Hugo\, Marseille\, 13001\, France
CATEGORIES:Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250926T140000
DTEND;TZID=Europe/Paris:20250926T153000
DTSTAMP:20260429T020524
CREATED:20250708T091236Z
LAST-MODIFIED:20250821T092135Z
UID:35976-1758895200-1758900600@www.ilcb.fr
SUMMARY:Cultural evolution creates language-like structure: from humans to humpback whales and beyond
DESCRIPTION:Simon Kirby \nUniversity of Edinburgh \n  \nAll known languages are made up of statistically coherent sequences – words – whose frequency distribution follows a power law known as a Zipfian distribution. Despite the ubiquity of these features across languages their origins are poorly understood. In this talk\, I will argue that they arise because they facilitate learning and therefore emerge through the process of cultural transmission of language. I will summarise results from an experiment in which non-linguistic sequences evolve as they are transmitted from generation to generation of participants. By using insights from infant speech segmentation\, I analyse those sequences and observe the emergence of Zipf’s law over generations. This work makes a prediction that we should find Zipfian distribution of statistically coherent sequences wherever systems culturally evolve\, including in other species. However\, so far these features have only been found in humans. In the second part of the talk I will turn to the culturally evolving song of humpback whales and apply the same analytic technique to 8 years of whale recordings. We show for the first time in another species that these characteristic statistical properties are indeed present in whale song. By doing so\, we demonstrate a deep commonality between two species separated by tens of millions of years of evolution but united by both having culture. Finally\, in the last part of the talk I will present ongoing work on the development of the same features in a third unrelated species. \n 
URL:https://www.ilcb.fr/event/simon-kirby/
LOCATION:Salle des voûtes\, St Charles\, 3 place Victor Hugo\, Marseille\, 13001\, France
CATEGORIES:Talk
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250117
DTEND;VALUE=DATE:20250118
DTSTAMP:20260429T020524
CREATED:20240906T124100Z
LAST-MODIFIED:20240906T124100Z
UID:35164-1737072000-1737158399@www.ilcb.fr
SUMMARY:Talks + HDR Abdellah Fourtassi
DESCRIPTION:
URL:https://www.ilcb.fr/event/talks-hdr-abdellah-fourtassi/
LOCATION:FRUMAM\, 3 place Victor Hugo\, Marseille\, 13001\, France
CATEGORIES:Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220617T140000
DTEND;TZID=Europe/Paris:20220617T150000
DTSTAMP:20260429T020524
CREATED:20220531T101228Z
LAST-MODIFIED:20220531T101400Z
UID:21681-1655474400-1655478000@www.ilcb.fr
SUMMARY:Neural systems underlying auditory categorization
DESCRIPTION:Dr. Bhareth Chandrasekaran \nAbstract: My program of research uses a systems neuroscience approach to study the computations\, maturational constraints\, and plasticity underlying behaviorally relevant auditory signals like speech. Speech signals are multidimensional\, acoustically variable\, and temporally ephemeral. A significant computational challenge in speech perception (and more broadly\, audition) is categorization\, that is\, mapping continuous\, multidimensional\, and variable acoustic signals into discrete\, behavioral equivalence classes. Despite the enormity of this computational challenge\, native speech perception is rapid and automatic. In contrast\, learning novel speech categories is effortful. In this talk\, I elucidate mechanisms underlying how novel speech categories are acquired and represented in the mature brain. I will demonstrate that (1) neural representations of novel speech categories can arise in the associative auditory cortex within a few hundred training trials of sound-to-category training\, (2) pre-attentive signal reconstruction in the early auditory system is subject to experience-dependent plasticity\, and (3) the robustness of structural and functional connectivity within a sound-to-reward cortico-striatal stream relates to learning outcome. Finally\, I will discuss ongoing experiments that leverage neurobiology to design optimal behavioral training and targeted neuromodulation interventions. \n  \nAbout the speaker: Dr. Chandrasekaran serves as a Professor and Vice Chair of Research in the Department of Communication Sciences and Disorders at The University of Pittsburgh. He earned his Ph.D. in Integrative Neuroscience from Purdue University in 2008\, completed a postdoctoral fellowship at Northwestern University before joining the University of Texas at Austin in 2010. He is the recipient of Regents’ Outstanding Teaching Award in 2014\, the Editor’s award for best research article in the Journal of Speech\, Language\, and Hearing Research\, the Psychonomics Early Career award in 2016\, and the Society for Neurobiology of Language Early Career Award in 2018. Dr. Chandrasekaran has served as the Editor-in-Chief of the Journal of Speech\, Language\, and Hearing Research (Speech). Over the last two decades\, his lab has leveraged cutting-edge multimodal neuroimaging methods and computational modeling approaches to develop a sophisticated understanding of how sounds are represented and categorized in the human brain. His approach is highly collaborative and interdisciplinary\, integrating across fields of communication sciences and disorders\, neuroscience\, linguistics\, psychology\, engineering\, and otolaryngology. His laboratory is currently supported by funding from the National Institutes of Health (NIH) and the National Science Foundation (NSF).
URL:https://www.ilcb.fr/event/neural-systems-underlying-auditory-categorization/
LOCATION:salle A003 LPL\, 5 avenue Pasteur\, Aix-enProvence\, 13100\, France
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220524T110000
DTEND;TZID=Europe/Paris:20220524T120000
DTSTAMP:20260429T020524
CREATED:20220512T073728Z
LAST-MODIFIED:20220512T073947Z
UID:20865-1653390000-1653393600@www.ilcb.fr
SUMMARY:Mapping the signed language lexicon: How are signs organized in the mind?
DESCRIPTION:Dr. Zed Sevcikova Sehyr \nSan Diego State University \nwebpage: https://www.zedsehyr.com/publications.html
URL:https://www.ilcb.fr/event/mapping-the-signed-language-lexicon-how-are-signs-organized-in-the-mind/
LOCATION:Salle de conférences\, 5 avenue Pasteur\, Aix-en-Provence\, 13100\, France
CATEGORIES:Talk
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