Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Pitti, Alexandre"'
The body morphology plays an important role in the way information is perceived and processed by an agent. We address an information theory (IT) account on how the precision of sensors, the accuracy of motors, their placement, the body geometry, shap
Externí odkaz:
http://arxiv.org/abs/2408.12950
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. In this formulation, the prior probability distributi
Externí odkaz:
http://arxiv.org/abs/2210.08013
As a phenomenon in dynamical systems allowing autonomous switching between stable behaviors, chaotic itinerancy has gained interest in neurorobotics research. In this study, we draw a connection between this phenomenon and the predictive coding theor
Externí odkaz:
http://arxiv.org/abs/2106.08937
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. We highlight h
Externí odkaz:
http://arxiv.org/abs/2104.09163
Autor:
Pitti, Alexandre, Quoy, Mathias, Lavandier, Catherine, Boucenna, Sofiane, Swaileh, Wassim, Weidmann, Claudio
In order to keep trace of information and grow up, the infant brain has to resolve the problem about where old information is located and how to index new ones. We propose that the immature prefrontal cortex (PFC) use its primary functionality of det
Externí odkaz:
http://arxiv.org/abs/2005.11203
In this article, we apply the Free-Energy Principle to the question of motor primitives learning. An echo-state network is used to generate motor trajectories. We combine this network with a perception module and a controller that can influence its d
Externí odkaz:
http://arxiv.org/abs/2005.05151
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pitti, Alexandre
Advances in Artificial Intelligence and robotics are currently questioning theethical framework of their applications to deal with potential drifts, as well as the way inwhich these algorithms learn because they will have a strong impact on the behav
Externí odkaz:
http://arxiv.org/abs/1803.07506
Publikováno v:
In Neural Networks January 2020 121:242-258
Publikováno v:
In Neural Networks February 2015 62:102-111