74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR10 papers
- Université Paris DescartesFR9 papers
- Hospital for Sick ChildrenCA3 papers
- Institut Systèmes Intelligents et de RobotiqueFR3 papers
- Sorbonne Paris CitéFR3 papers
- Toronto Western HospitalCA3 papers
- Université Paris CitéFR3 papers
- University of TorontoCA3 papers
- SickKids FoundationCA2 papers
- Université Pierre-et-Marie-CurieFR2 papers
- Délégation Paris 5FR1 paper
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
12 papers
Knowledge transfer in deep block-modular neural networks
Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
Although deep neural networks (DNNs) have demonstrated impressive results during the last decade, they remain highly specialized tools, which are trained -- often from scratch -- t…
Learning abstract perceptual notions: the example of space
Alexander V. Terekhov, J. Kevin O'Regan
Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques de…
Learning agent's spatial configuration from sensorimotor invariants
Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri +2
The design of robotic systems is largely dictated by our purely human intuition about how we perceive the world. This intuition has been proven incorrect with regard to a number of…
Learning an internal representation of the end-effector configuration space
Alban Laflaquière, Alexander V. Terekhov, Bruno Gas +1
Current machine learning techniques proposed to automatically discover a robot kinematics usually rely on a priori information about the robot's structure, sensors properties or en…
Consciousness as a global property of brain dynamic activity
D. M. Mateos, R. Wennberg, R. Guevara +1
We seek general principles of the structure of the cellular collective activity associated with conscious awareness. Can we obtain evidence for features of the optimal brain organi…
Gaze Distribution Analysis and Saliency Prediction Across Age Groups
Onkar Krishna, Kiyoharu Aizawa, Andrea Helo +1
Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention sys…
Measures of Entropy and Complexity in altered states of consciousness
D. M. Mateos, R. Guevara Erra, R. Wennberg +1
Quantification of complexity in neurophysiological signals has been studied using different methods, especially those from information or dynamical system theory. These studies rev…
Towards a statistical mechanics of consciousness: maximization of number of connections is associated with conscious awareness
R. Guevara Erra, D. M. Mateos, R. Wennberg +1
It has been said that complexity lies between order and disorder. In the case of brain activity, and physiology in general, complexity issues are being considered with increased em…
The influence of infant-directed speech on 12-month-olds' intersensory perception of fluent speech
Claudia Kubicek, Judit Gervain, Anne Hillairet De Boisferon +3
The present study examined whether infant-directed (ID) speech facilitates intersensory matching of audio--visual fluent speech in 12-month-old infants. German-learning infantsâ au…
Subjective physics
Romain Brette
Imagine a naive organism who does not know anything about the world. It can capture signals through its sensors and it can make actions. What kind of knowledge about the world is a…
Space as an invention of biological organisms
Alexander V. Terekhov, J. Kevin O'Regan
The question of the nature of space around us has occupied thinkers since the dawn of humanity, with scientists and philosophers today implicitly assuming that space is something t…
Craniofacial reconstruction as a prediction problem using a Latent Root Regression model
Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès +1
In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains…