Analog circuits for modeling biological neural networks: design and applications. - Sylvie Le Masson; Alban Laflaquière; Thierry Bal; Gwendal Le Masson (IEEE Trans. Biomed. Eng., 1999)

A non-linear approach to space dimension perception by a naive agent. - Alban Laflaquière; Sylvain Argentieri; Olivia Breysse; Stéphane Genet; Bruno Gas (IROS, 2012)

Learning an internal representation of the end-effector configuration space. - Alban Laflaquière; Alexander V. Terekhov; Bruno Gas; J. Kevin O'Regan (IROS, 2013)

Approche sensorimotrice de la perception de l'espace pour la robotique autonome. (Sensorimotor approach of space perception for autonomous robotics.). - Alban Laflaquière (2013)

Grounding object perception in a naive agent's sensorimotor experience. - Alban Laflaquière; Nikolas Hemion (ICDL-EPIROB, 2015)

Learning agent's spatial configuration from sensorimotor invariants. - Alban Laflaquière; J. Kevin O'Regan; Sylvain Argentieri; Bruno Gas; Alexander V. Terekhov (Robotics Auton. Syst., 2015)

Grounding the experience of a visual field through sensorimotor contingencies. - Alban Laflaquière; Michaël Garcia Ortiz; Ahmed Faraz Khan (ESANN, 2016)

Autonomous grounding of visual field experience through sensorimotor prediction. - Alban Laflaquière (ICDL-EPIROB, 2016)

Grounding the experience of a visual field through sensorimotor contingencies. - Alban Laflaquière (Neurocomputing, 2017)

Solving Bidirectional Tasks using MTRNN. - Alexandre Antunes; Alban Laflaquière; Angelo Cangelosi (ICDL-EPIROB, 2018)

A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features. - Alban Laflaquière (ICDL-EPIROB, 2018)

Learning Representations of Spatial Displacement through Sensorimotor Prediction. - Michaël Garcia Ortiz; Alban Laflaquière (ICDL-EPIROB, 2018)

Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling. - Pontus Loviken; Nikolas Hemion; Alban Laflaquière; Michael Spranger; Angelo Cangelosi (IROS, 2018)

Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction. - Alban Laflaquière (CoRR, 2018)

Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. - Alban Laflaquière; Nikolas Hemion; Michaël Garcia Ortiz; Jean-Christophe Baillie (CoRR, 2018)

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. - Nicolas Le Hir; Olivier Sigaud; Alban Laflaquière (Frontiers Robotics AI, 2018)

Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. - Alban Laflaquière; J. Kevin O'Regan; Bruno Gas; Alexander V. Terekhov (Neural Networks, 2018)

Novelty search: a theoretical perspective. - Stéphane Doncieux; Alban Laflaquière; Alexandre Coninx (GECCO, 2019)

Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction. - Alban Laflaquière; Verena V. Hafner (ICDL-EPIROB, 2019)

A Bi-directional Multiple Timescales LSTM Model for Grounding of Actions and Verbs. - Alexandre Antunes; Alban Laflaquière; Tetsuya Ogata; Angelo Cangelosi (IROS, 2019)

Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. - Alban Laflaquière; Michaël Garcia Ortiz (NeurIPS, 2019)

Novelty search makes evolvability inevitable. - Stéphane Doncieux; Giuseppe Paolo; Alban Laflaquière; Alexandre Coninx (GECCO, 2020)

Unsupervised Learning and Exploration of Reachable Outcome Space. - Giuseppe Paolo; Alban Laflaquière; Alexandre Coninx; Stéphane Doncieux (ICRA, 2020)

Emergence of Spatial Coordinates via Exploration. - Alban Laflaquière (CoRR, 2020)

Sparse reward exploration via novelty search and emitters. - Giuseppe Paolo; Alexandre Coninx; Stéphane Doncieux; Alban Laflaquière (GECCO, 2021)

A Sensorimotor Perspective on Contrastive Multiview Visual Representation Learning. - Alban Laflaquière (IEEE Trans. Cogn. Dev. Syst., 2022)

Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. - Giuseppe Paolo; Miranda Coninx; Alban Laflaquière; Stéphane Doncieux (Evol. Comput., 2024)