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NEUROSCIENCE
& ARTIFICIAL INTELLIGENCE<\/h1>\n\n\n\n

MECHANISMS, PERSPECTIVES & CONSEQUENCES<\/p>\n\n\n\n

23-24 May 2024, Bordeaux<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n\n

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NEUROSCIENCE
& ARTIFICIAL INTELLIGENCE<\/h1>\n\n\n\n

MECHANISMS, PERSPECTIVES & CONSEQUENCES<\/p>\n\n\n\n

23-24 May 2024, Bordeaux<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n\n

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Foreword<\/h1>\n\n\n\n

Artificial intelligence (AI), which is based on artificial neural networks with learning capabilities initially inspired by the functioning of the nervous system, has made significant progress in recent decades, and is playing an increasingly important role in technological development in a wide range of fields (human-machine interaction in many industries: telephony and office automation, home automation, automobile, defence, health, etc.). <\/p>\n\n\n\n

Neuroscience has long been a key driver of advances in artificial intelligence (AI). Conversely, the models used in AI are used to understand how the brain works. However, the structure of the networks and the learning mechanisms currently used remain far from the principles observed experimentally. Developments of artificial systems towards forms more inspired by biology could improve the capacity of algorithms. On the other hand, a better understanding of the network mechanisms involved in AI could benefit both their development but also a better understanding of the functioning of the human brain. Neuroscience can therefore play an important role in accelerating the progress of AI and realizing its vast potential. However, the development of AI-type capabilities is also likely to raise serious ethical and societal issues, impacting on human creativity, economic growth, employment, the place of machines in society as well as their potential autonomy. <\/p>\n\n\n\n

The first day of this meeting will be dedicated to the study of the network mechanisms involved in artificial networks and the underlying learning mechanisms. The second day will be dedicated to the societal consequences and ethical perspectives of the development of AI in our societies.<\/p>\n\n\n\n

Arthur Leblois, Emmanuel Procyk & Nicolas Rougier, coordinators<\/strong><\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<\/div>\n\n\n\n

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Program<\/h1>\n\n\n\n

23 May 2024<\/h2>\n\n\n\n

9:00 – 10:00 \u00b7<\/strong> Conference<\/p>\n\n\n\n

Omri Barak <\/strong>(Technion Israel Institute of Technology, Israel)<\/em><\/p>\n\n\n\n

Learning from learning systems<\/p>\n\n\n\n

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10:00 – 10:30 \u00b7<\/strong> Coffee break<\/em><\/p>\n\n\n\n

10:30 – 12:30 \u00b7<\/strong> SESSION 1 – Learning modalities in artificial neural networks<\/p>\n\n\n\n

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Rufin VanRullen<\/strong> (Artificial & Natural Intelligence Toulouse Institute<\/em>, CerCo, CNRS UMR 5549<\/em><\/em>, Toulouse)<\/em><\/p>\n\n\n\n

Multimodal deep learning through a Global Workspace<\/p>\n\n\n\n

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Alexis Dubreuil<\/strong> (Institute of Neurodegenerative Diseases, CNRS, UMR 5293, University of Bordeaux, Bordeaux<\/em>)<\/em><\/p>\n\n\n\n

Reverse-engineering artificial neural networks for investigating principles of neural computations<\/p>\n\n\n\n

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Dan Goodman<\/strong> (University College of London, United Kingdom)<\/em><\/p>\n\n\n\n

Structural and functional modularity in neural networks<\/p>\n\n\n\n

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Chris Summerfield<\/strong> (Human Information Processing Lab, University of Oxford<\/em>, United Kingdom)<\/em><\/p>\n\n\n\n

Zero-shot navigation with deep RL<\/p>\n\n\n\n

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12:30 – 14:00 \u00b7<\/strong> Lunch<\/em><\/p>\n\n\n\n

13:00 – 14:00 \u00b7<\/strong> Poster session<\/a><\/p>\n\n\n\n

14:00 – 15:30 \u00b7<\/strong> SESSION 2 – Confronting artificial networks to cognitive and neural data<\/p>\n\n\n\n

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Jean-R\u00e9mi King<\/strong> (Laboratoire des syst\u00e8mes perceptifs, ENS, Paris)<\/em><\/p>\n\n\n\n

Language in the brain and algorithms<\/p>\n\n\n\n

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Anthony Strock<\/strong> (Menon Lab, Stanford, Palo Alto, USA)<\/em><\/p>\n\n\n\n

Understanding the origins of human behavioral deficits by developing AI that fails<\/p>\n\n\n\n

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Anne Collins<\/strong> (Psychology Department, UC Berkeley, USA)<\/em><\/p>\n\n\n\n

Insights from cognitive sciences into fast and flexible learning<\/p>\n\n\n\n

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15:30 – 16:00 \u00b7<\/strong> Coffee break<\/em><\/p>\n<\/div><\/div>\n\n\n\n

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16:00 – 17:00 \u00b7<\/strong> Roundtable discussion about network mechanisms <\/p>\n\n\n\n

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24 May 2024<\/h2>\n\n\n\n

9:00 – 10:00 \u00b7<\/strong> Alfred Fessard Lecture <\/p>\n\n\n\n

Introduced by Rufin VanRullen <\/strong>(CerCo, CNRS UMR 5549, Toulouse)<\/em><\/p>\n\n\n\n

Simon Thorpe <\/strong>(CerCo, CNRS UMR 5549, Toulouse<\/em><\/em>)<\/p>\n\n\n\n

Neuroscience and AI – What can AI learn from how the brain computes?<\/p>\n\n\n\n

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10:00 – 10:30 \u00b7<\/strong> Coffee break<\/em><\/p>\n\n\n\n

10:30 – 12:30 \u00b7<\/strong> Roundtable discussion about ethics<\/p>\n\n\n\n

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Chaired by C\u00e9dric Brun<\/strong> (Institute of Neurodegenerative Diseases, CNRS, UMR 5293, University of Bordeaux, Bordeaux)<\/em><\/p>\n\n\n\n

Contributors
Mich\u00e8le Barbier <\/strong>(European projects Manager, H2020 SimCardioTest and EITHealth in EurHeart, Inria Sophia Antipolis M\u00e9diterrann\u00e9e)<\/em>
Raja Chatila <\/strong>(Professor of Artificial Intelligence, Robotics and Ethics at ISIR<\/em>, Sorbonne University, Paris)<\/em>
Romain Sidobre<\/strong> (Ethical and Responsible AI operational coordinator at Orange, Issy-les-Moulineaux)<\/em><\/p>\n\n\n\n

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12:30 – 14:00 \u00b7<\/strong> Lunch<\/em><\/p>\n\n\n\n

13:00 – 14:00 \u00b7 <\/strong>Poster session<\/a><\/p>\n\n\n\n

13:30 – 14:00 \u00b7<\/strong> General Assembly of the French Neuroscience Society <\/p>\n\n\n\n

14:00 – 16:00 \u00b7<\/strong> Roundtable discussion about societal perspectives <\/p>\n\n\n\n

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Chaired by Mehdi Khamassi<\/strong> (ISIR, CNRS UMR 7222, Sorbonne University, Paris)<\/em><\/p>\n\n\n\n

Contributors
Chlo\u00e9 Clavel<\/strong> (Professor and researcher at T\u00e9l\u00e9com Paris, Paris)<\/em>
Simon Thorpe<\/strong> (Research Director at CerCo, CNRS UMR 5549, Toulouse)<\/em>
Natacha Vas-Deyres<\/strong> (Associate Professor of literature, essayist specialising in science fiction, Bordeaux)<\/em><\/p>\n\n\n\n

16:00 – 16:15 \u00b7<\/strong> Closing remarks <\/p>\n<\/div><\/div>\n\n\n\n

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Registration & abstract submission<\/h1>\n\n\n\n

Abstract submission deadline: 30 April 2024<\/p>\n\n\n\n

Registration deadline: 7 May 2024, 5 p.m. CET<\/p>\n\n\n\n

Please note that the maximum capacity for this meeting is 150 participants (first-come, first-served basis). <\/p>\n\n\n\n

Not yet member of the French Neuroscience Society? Join us now<\/a> and benefit from reduced registration fees at the meeting.<\/p>\n\n\n\n

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Early-bird registration until 31 March 2024 included<\/strong><\/p>\n\n\n\n

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Student\/ Post-doc member<\/h5>\n\n\n\n

90 \u20ac<\/p>\n<\/div>\n\n\n\n

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Academic member<\/h5>\n\n\n\n

150 \u20ac<\/p>\n<\/div>\n\n\n\n

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Non member<\/h5>\n\n\n\n

300 \u20ac<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Late registration starting 1st April 2024<\/strong> until 7 May 2024<\/strong> <\/p>\n\n\n\n

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Student\/ Post-doc member<\/h5>\n\n\n\n

120 \u20ac<\/p>\n<\/div>\n\n\n\n

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Academic member<\/h5>\n\n\n\n

180 \u20ac<\/p>\n<\/div>\n\n\n\n

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Non member<\/h5>\n\n\n\n

300 \u20ac<\/p>\n<\/div>\n<\/div>\n\n\n\n

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VAT not applicable, article 293B of the CGI<\/em><\/p>\n\n\n\n

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Registration fees include access to the conference, lunches and coffee breaks.<\/p>\n\n\n\n

Online registration is over. For any inquiry about registration, please contact us<\/a> <\/p>\n\n\n\n

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