When Artificial Intelligence and Computational Neuroscience meet - Archive ouverte HAL Access content directly
Book Sections Year : 2020

When Artificial Intelligence and Computational Neuroscience meet


Computational Intelligence and Artificial Intelligence are both aiming at building machines and softwares capable of intelligent behavior. They are consequently prone to interactions, even if the latter is not necessarily interested in understanding how cognition emerges from the brain substrate. In this chapter, we enumerate, describe and discuss the most important fields of interactions. Some are methodological and are concerned with information representation, processing and learning. At the functional level, the focus is set on major cognitive functions like perception, navigation, decision making and language. Among the salient characteristics of the critical contributions of Computational Neuroscience to the development of intelligent systems, its systemic view of the cerebral functioning is particularly precious to model highly multimodal cognitive functions like decision making
Fichier principal
Vignette du fichier
volume-3-chapitre-9.pdf (866.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01735123 , version 1 (13-05-2020)


  • HAL Id : hal-01735123 , version 1


Frédéric Alexandre, Peter Ford Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, et al.. When Artificial Intelligence and Computational Neuroscience meet. Springer. A guided tour of artificial intelligence research, Interfaces and applications of artificial intelligence, 3, 2020, Interfaces and Applications of Artificial Intelligence, 978-3-030-06170-8. ⟨hal-01735123⟩
390 View
504 Download


Gmail Facebook Twitter LinkedIn More