On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion. - Nicolas Cazin; Aymeric Histace; David Picard; Benoit Gaudou (PAAMS (Workshops), 2015)

Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation. - Nicolas Cazin; Martin Llofriu Alonso; Pablo Scleidorovich; Tatiana Pelc; Bruce Harland; Alfredo Weitzenfeld; Jean-Marc Fellous; Peter Ford Dominey (PLoS Comput. Biol., 2019)

Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization. - Nicolas Cazin; Pablo Scleidorovich; Alfredo Weitzenfeld; Peter Ford Dominey (Biol. Cybern., 2020)

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot. - Quentin Gallouédec; Nicolas Cazin; Emmanuel Dellandréa; Liming Chen 002 (CoRR, 2021)

Efficient-DASH: Automated Radar Neural Network Design Across Tasks and Datasets. - Thomas Boot; Nicolas Cazin; Willem P. Sanberg; Joaquin Vanschoren (IV, 2023)

FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation. - Guillaume Duret; Mahmoud Ali; Nicolas Cazin; Danylo Mazurak; Anna Samsonenko; Alexandre Chapin; Florence Zara; Emmanuel Dellandréa; Liming Chen 002; Jan Peters 001 (ECCV Workshops (1), 2024)