no code implementations • 24 Feb 2023 • Juliette Courson, Thanos Manos, Mathias Quoy
These nodes are chosen either randomly or based on their respective strong/weak connectivity properties (centrality, shortest path length and clustering coefficient).
1 code implementation • 14 Oct 2022 • Louis Annabi, Alexandre Pitti, Mathias Quoy
In this article, we propose a variational inference formulation of auto-associative memories, allowing us to combine perceptual inference and memory retrieval into the same mathematical framework.
no code implementations • 16 Jun 2021 • Louis Annabi, Alexandre Pitti, Mathias Quoy
As a phenomenon in dynamical systems allowing autonomous switching between stable behaviors, chaotic itinerancy has gained interest in neurorobotics research.
1 code implementation • 19 Apr 2021 • Louis Annabi, Alexandre Pitti, Mathias Quoy
In this work, we build upon the Active Inference (AIF) and Predictive Coding (PC) frameworks to propose a neural architecture comprising a generative model for sensory prediction, and a distinct generative model for motor trajectories.
no code implementations • 22 May 2020 • Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna, Wassim Swaileh, Claudio Weidmann
We propose that the immature prefrontal cortex (PFC) use its primary functionality of detecting hierarchical patterns in temporal signals as a second purpose to organize the spatial ordering of the cortical networks in the developing brain itself.
no code implementations • 11 May 2020 • Louis Annabi, Alexandre Pitti, Mathias Quoy
In this article, we apply the Free-Energy Principle to the question of motor primitives learning.