During this symposium, we would like to cross approaches from computational neurosciences and bio-inspired robotics, with links with development and learning in humans.

- What are the advances in computational neurosciences and what are important bio-inspired learning mechanisms for cognition still missing in robots?

- Which neural and cognitive architectures should be favored? What are the current AI algorithms are missing?

- What are the developmental steps to consider to imitate the cognitive abilities of the child still inaccessible in robotics?

Emmanuel Dupoux, Directeur d'études EHESS, CoML team, INRIA Paris

TBA

Jeff Krichmar, Professor, Cognitive Anteater Robotics Laboratory, University of California, Irvine

A Neurobiological Schema Model for Contextual Awareness in Robotics

Yasuo Kuniyoshi, Professor, University of Tokyo, ISI laboratory

Emergence and Development of Embodied Behavior/Cognition in Simulated
Human Fetus/Infant

Diogo Pata, Researcher, Institute for Bioengineering of Catalonia

How do robots perform spatial encoding: insights from hippocampal mechanisms

Nicolas Rougier, Researcher, Labri Team INRIA Bordeaux

Boostrapping cognition

Gregor Schöner, Institut für Neuroinformatik

Toward pervasively neural architectures of embodied and higher cognition

Simon Thorpe, Research Director, Brain & Cognition Research Center (CerCo), Toulouse

Finding repeating patterns in spiking activity : The fundamental mechanism underlying Cognitive Development and Learning?

participation is free but inscription on the website is mandatory.

tuesday afternoon the 3rd December 2019 and wednesday morning the 4th December 2019.

tuesday, 3 december 14h-18h -- wednesday, 4 december 9h45-12h30

Maison Internationale de Recherche, (MIR), Neuville.

[How to come] [Où]

Alexandre Pitti,  neurodevrob@sciencesconf.org / alexandre.pitti [at] u-cergy.fr

Etis laboratory, Université Paris-Seine, Université de Cergy-Pontoise, CNRS, ENSEA

Grant Institut des Systèmes Avancés, université de Cergy-Pontoise