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A dynamic neural field model of multimodal merging: application to the ventriloquist effectNeural Computation, 2022, 34 (8), pp.1701-1726. ⟨10.1162/neco_a_01509⟩
Article dans une revue
hal-03600794v1
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Champ neuronal et apprentissage profond de topologies pour la fusion multimodaleCNIA 2023 - Conférence Nationale en Intelligence Artificielle, PFIA, Jul 2023, Strasbourg, France. pp.40-49
Communication dans un congrès
hal-04164249v1
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Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion2022 International Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, Italy. ⟨10.1109/IJCNN55064.2022.9892614⟩
Communication dans un congrès
hal-03693198v1
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Active Multisensory Perception and LearnIng For InteractivE RobotsWorkshop on Computational Models for Crossmodal Learning - IEEE ICDL-EPIROB, Sep 2017, Lisbon, Portugal. pp.2
Communication dans un congrès
hal-01839427v1
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Biological constraints in neural field models of sensor fusionIMOL 2019 - 4th International Workshop on Intrinsically Motivated Open-ended Learning, Jul 2019, Frankfurt, Germany.
Poster de conférence
hal-03694078v1
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Influence of eye-movements on multisensory stimulus localization: experiments, models and robotics applicationsPoster de conférence hal-01894621v2 |
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Cortically-inspired Computational Models for Multimodality3rd EUCogII Members' Conference, Oct 2010, Palma de Mallorca, Spain
Poster de conférence
inria-00536869v1
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Competition in high dimensional spaces using a sparse approximation of neural fieldsCarlos Hernández, Ricardo Sanz, Jaime Gómez-Ramirez, Leslie S. Smith, Amir Hussain, Antonio Chella, Igor Aleksander. From Brains to Systems: Brain-Inspired Cognitive Systems 2010, Springer, 2011, Advances in Experimental Medicine and Biology, 978-1461401636
Chapitre d'ouvrage
inria-00568924v1
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