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Towards a Computational Cognitive Neuroscience Model of Creativity

Hugo Chateau-Laurent 1 Frédéric Alexandre 1 
1 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : Recent progress in AI has expanded the boundaries of the cognitive functions that can be simulated, but creativity remains a challenge. Neuroscience sheds light on its mechanisms and its tight relationship with episodic memory and cognitive control, while machine learning provides preliminary models of these mechanisms. We present these lines of research and explain how they can be exploited in the domain of computational creativity in order to further expand the capabilities of AI.
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Submitted on : Thursday, September 30, 2021 - 10:51:43 AM
Last modification on : Sunday, June 26, 2022 - 3:14:34 AM
Long-term archiving on: : Friday, December 31, 2021 - 6:29:20 PM


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  • HAL Id : hal-03359407, version 1



Hugo Chateau-Laurent, Frédéric Alexandre. Towards a Computational Cognitive Neuroscience Model of Creativity. IEEE ICCI*CC'21 - 20th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Oct 2021, Banff, Canada. ⟨hal-03359407⟩



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