This web page is not updated as regularly as I would like. A more complete list of my publications can be found on my Researchgate or Google scholar pages (see links on the left-hand panel).

Journal papers

[1] Tarek Elouaret, Sylvain Colomer, Frédéric de Melo, Nicolas Cuperlier, Olivier Romain, Lounis Kessal, and Stéphane Zuckerman. Implementation of a Bio-Inspired Neural Architecture for Autonomous Vehicles on a Multi-FPGA Platform. Sensors, 23(10):4631, May 2023. [ bib | DOI | HAL ]
[2] Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Philippe Gaussier, and Olivier Romain. LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments. Frontiers in Robotics and AI, 8, February 2022. [ bib | DOI | HAL ]
[3] Jean-Paul Banquet, Philippe Gaussier, Nicolas Cuperlier, Vincent Hok, Etienne Save, Bruno Poucet, Mathias Quoy, and Sidney I Wiener. Time as the fourth dimension in the hippocampus. Progress in Neurobiology, page 101920, April 2021. [ bib | DOI | PDF | HAL ]
[4] Yoan Espada, Nicolas Cuperlier, Guillaume Bresson, and Olivier Romain. From Neurorobotic Localization to Autonomous Vehicles. Unmanned systems, 07(03):183--194, July 2019. [ bib | DOI | HAL ]
[5] Philippe Gaussier, Jean Paul Banquet, Nicolas Cuperlier, Mathias Quoy, Lise Aubin, Pierre-Yves Jacob, Francesca Sargolini, Etienne Save, Jeffrey Krichmar, and Bruno Poucet. Merging information in the entorhinal cortex: what can we learn from robotics experiments and modeling? Journal of Experimental Biology, 222(Suppl 1):jeb186932, February 2019. [ bib | DOI | PDF | HAL ]
[6] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. Autonomous cognitive robots need emotional modulations: introducing the eMODUL model. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(1):206--215, January 2019. [ bib | HAL ]
[7] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. Emotional metacontrol of attention: Top-down modulation of sensorimotor processes in a robotic visual search task. PLoS ONE, 12(9), September 2017. [ bib | DOI | HAL ]
[8] Adrien Jauffret, Nicolas Cuperlier, and Philippe Gaussier. From grid cells and visual place cells to multimodal place cell: a new robotic architecture. Frontiers in Neurorobotics, page doi: 10.3389/fnbot.2015.00001, April 2015. [ bib | DOI | PDF | HAL ]
[9] Laurent Fiack, Nicolas Cuperlier, and Benoit Miramond. Embedded and real-time architecture for bio-inspired vision-based robot navigation. Journal of Real-Time Image Processing, Springer, pages 1--24, January 2014. [ bib | HAL ]
[10] Adrien Jauffret, Nicolas Cuperlier, Philippe Tarroux, and Philippe Gaussier. From Self-Assessment to Frustration, A Small Step Towards Autonomy in Robotic Navigation. Frontiers in Neurorobotics, page 7:16., September 2013. [ bib | DOI | HAL ]
[11] Philippe Laroque, Nathalie Gaussier, Nicolas Cuperlier, Mathias Quoy, and Philippe Gaussier. Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents. Paladyn, 1(1):25--36, March 2010. [ bib | HAL ]
[12] Nicolas Cuperlier, Mathias Quoy, and Philippe Gaussier. Neurobiologically inspired mobile robot navigation and planning. Frontiers in Neurorobotics, page doi: 10.3389/neuro.12.003.2007, September 2007. [ bib | DOI | PDF | HAL ]


Conference papers 

[1] Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Steve Pechberti, and Olivier Romain. Sparse and topological coding for visual localization of autonomous vehicles. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022), pages 153--164, Cergy Pontoise, France, September 2022. [ bib | PDF | HAL ]
[2] Tarek Elouaret, Sylvain Colomer, Frederic Demelo, Nicolas Cuperlier, Olivier Romain, Lounis Kessal, and Stephane Zuckerman. Implementation of a bio-inspired neural architecture for autonomous vehicle on a reconfigurable platform. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), Anchorage, United States, June 2022. IEEE, IEEE. [ bib | DOI | HAL ]
[3] Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, and Olivier Romain. Hierarchical Sparse Dictionaries: how sparsity, topology and pooling can improve visual place recognition. In Human-like Behavior and Cognition in Robots - workshop at IROS 2021, Prague, Czech Republic, October 2021. [ bib | PDF | HAL ]
[4] Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, and Olivier Romain. Forming a sparse representation for visual place recognition using a neurorobotic approach. In ITSC 2021, Indianapolis, United States, September 2021. [ bib | HAL ]
[5] Tarek Elouaret, Stéphane Zuckerman, Lounis Kessal, Yoan Espada, Nicolas Cuperlier, Guillaume Bresson, Fethi Ben Ouezdou, and Olivier Romain. Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems. In 2019 UK/ China Emerging Technologies (UCET), pages 1--2, Glasgow, United Kingdom, August 2019. IEEE. [ bib | DOI | HAL ]
[6] Yoan Espada, Nicolas Cuperlier, Guillaume Bresson, and Olivier Romain. Application of a Bio-inspired Localization Model to Autonomous Vehicles. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pages 7--14, Singapore, France, November 2018. IEEE. [ bib | DOI | HAL ]
[7] Nicolas Cuperlier, Hakim Guedjou, Frédéric Demelo, and Benoit Miramond. Attention-based smart-camera for spatial cognition. In 10th International Conference on Distributed Smart Cameras (ICDSC 2016), page 121–127, Paris, France, September 2016. [ bib | HAL ]
[8] M. Belkaid, N. Cuperlier, and P. Gaussier. Combining local and global visual information in context-based neurorobotic navigation. In 2016 International Joint Conference on Neural Networks (IJCNN), pages 4947--4954, July 2016. [ bib | DOI ]
[9] Marwen Belkaid, Caroline Lesueur-Grand, Ghilès Mostafaoui, Nicolas Cuperlier, and Philippe Gaussier. Learning sensorimotor navigation using synchrony-based partner selection. In Proceedings of the International Conference on Artificial Intelligence and Robotics and the International Conference on Automation, Control and Robotics Engineering, ICAIR-CACRE '16, pages 19:1--19:5, New York, NY, USA, 2016. ACM. [ bib | DOI | HAL ]
[10] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. Emotional modulation of peripersonal space as a way to represent reachable and comfort areas. In IEEE International Conference on Intelligent Robots and Systems, Proceedings of the International Conference on Intelligent Robots and Systems, pages 353--359, Hamburg, Germany, September 2015. [ bib | PDF | HAL ]
[11] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. Emotional modulation of peripersonal space impacts the way robots interact. In European Conference on Artificial Life, Proceedings of the European Conference on Artificial Life, pages 431--437, York, United Kingdom, July 2015. [ bib | PDF | HAL ]
[12] Adrien Jauffret, Marwen Belkaid, Nicolas Cuperlier, Philippe Gaussier, and Philippe Tarroux. Frustration as a way toward autonomy and self-improvement in robotic navigation. In the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pages 353--359, Japan, August 2013. [ bib | HAL ]
[13] Adrien Jauffret, Caroline Grand, Nicolas Cuperlier, Philippe Gaussier, and Philippe Tarroux. How Can a Robot Evaluate its own Behavior ? A Neural Model for Self-Assessment. In International Joint Conference on Neural Networks 2013, pages 1--8, United States, June 2013. [ bib | PDF | HAL ]
[14] Adrien Jauffret, Nicolas Cuperlier, Philippe Gaussier, and Philippe Tarroux. Multimodal integration of visual place cells and grid cells for navigation tasks of a real robot. In 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, number 7426 in LNAI, pages 136--145, Odense, Denmark, August 2012. Springer. [ bib | PDF | HAL ]
[15] Adrien Jauffret, Nicolas Cuperlier, and Philippe Gaussier. Multimodal integration of visual place cells and grid cells for robots navigation. In Second Symposium on Biology of Decision Making, Paris, France, May 2012. [ bib | HAL ]
[16] Sylvain Chevallier, Nicolas Cuperlier, and Philippe Gaussier. Efficient neural models for visual attention. In Computer Vision and Graphics, volume 6374 of Lecture Notes in Computer Science, pages 257--264, Varsovie, Poland, September 2010. Springer-Verlag. [ bib | DOI | PDF | HAL ]
[17] Nicolas Cuperlier, Mathias Quoy, and Philippe Gaussier. Interest of Spatial Context for a Place Cell Based Navigation Model. In Minoru Asada, JohnC.T. Hallam, Jean-Arcady Meyer, and Jun Tani, editors, 10 th Simulation of Adaptive Behavior, Lecture Notes in Computer Science, pages 169--178, Italy, 2008. Springer Berlin Heidelberg. [ bib | DOI | PDF | HAL ]
[18] Nicolas Cuperlier, Philippe Gaussier, and Mathias Quoy. Interest of spatial context for a place cell based navigation model. In SAB, pages 169--178, Osaka, Japan, 2008. [ bib | HAL ]
[19] Nicolas Cuperlier, Mathias Quoy, Christophe Giovannangeli, Philippe Gaussier, and Philippe Laroque. Transition cells for navigation and planning in an unknown environment. In International Conference on Simulation of Adaptive Behavior, pages 286--297. Springer Berlin Heidelberg, 2006. [ bib ]
[20] Nicolas Cuperlier, Mathias Quoy, and Philippe Gaussier. Navigation and planning in an unknown environment using vision and a cognitive map. In Proceedings of European Robotic Symponium (EUROS 2006), pages 129--142. Springer Berlin Heidelberg, Palermo, Italy, 2006. [ bib ]
[21] Nicolas Cuperlier, Philippe Gaussier, Philippe Laroque, and Mathias Quoy. Goal and motor action selection using an hippocampal and prefrontal model. In Proceedings of the International Workshop: Modeling Natural Action Selection., pages 100--106, Edinnburgh,UK, 2005. AISB Press Edinburgh. [ bib ]
[22] Nicolas Cuperlier, Mathias Quoy, Philippe Laroque, and Philippe Gaussier. Transition cells and neural fields for navigation and planning. In International Work-Conference on the Interplay Between Natural and Artificial Computation, pages 346--355. Springer Berlin Heidelberg, 2005. [ bib ]
[23] Nicolas Cuperlier, Philippe Laroque, Philippe Gaussier, and Mathias Quoy. Planning and navigation strategies using transition cells and neural fields. Marbella, Spain, 2004. [ bib ]
[24] Nicolas Cuperlier, Philippe Laroque, M Quoy, and Philippe Gaussier. Learning to plan and build experience via imitation in a social environment. In Proceedings of Artificial intelligence and Soft Computing 2004., pages 1--3, Marbella, Spain, 2004. [ bib ]
[25] Philippe Laroque, Nicolas Cuperlier, and Philippe Gaussier. Impact of imitation on the dynamics of animat populations in a spatial cognition task. In Proceedings of Intelligent Autonomous Systems (IAS-8), pages 71--79, Amsterdam,Holland, 2004. [ bib ]


Short conference papers, extended abstracts and posters 

[1] Tarek Elouaret, Stéphane Zuckerman, Lounis Kessal, Yoan Espada, Nicolas Cuperlier, Guillaume Bresson, Fethi Ben Ouezdou, and Olivier Romain. Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems. In 2019 UK/ China Emerging Technologies (UCET), pages 1--2, Glasgow, United Kingdom, August 2019. IEEE. [ bib | DOI | HAL ]
[2] Nicolas Cuperlier, Frédéric Demelo, and Benoit Miramond. FPGA-based bio-inspired architecture for multi-scale attentional vision. In Conference on Design & Architectures for Signal & Image Processing (DASIP), pages 231--232, Rennes, France, October 2016. [ bib | HAL ]
[3] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. De la détection de nouveauté au métacontrôle en passant par l'ennui et la frustration. Workshop Affect Compagnon Artificiel et Interaction, June 2016. Poster. [ bib | HAL ]
[4] Marwen Belkaid, Nicolas Cuperlier, and Philippe Gaussier. Emergence of low-level aggressive responses in a reactive goal-directed robotic system. Meeting of the International Society of Research on Emotion, July 2015. Poster. [ bib | HAL ]
[5] Marwen Belkaid, Caroline Grand, Ghiles Mostafaoui, Nicolas Cuperlier, and Philippe Gaussier. When and from who to learn: Synchrony as a way to learn sensorimotor associations. Symposium on Biology of Decision Making, May 2014. Poster. [ bib | HAL ]
[6] Adrien Jauffret, Marwen Belkaid, Nicolas Cuperlier, Philippe Gaussier, and Philippe Tarroux. Frustration: a generic mechanism to improve autonomy in robotics. In third symposium on biology of decision making, France, May 2013. [ bib | PDF | HAL ]
[7] Laurent Fiack, Nicolas Cuperlier, and Benoit Miramond. Hardware vision architecture for autonomous navigation, 2013. Communication at GDR Soc. [ bib | HAL ]
[8] Laurent Fiack, Benoit Miramond, and Nicolas Cuperlier. FPGA-based vision perception architecture for robotic missions. In Smart cameras for robotic applications, pages 4--5, Portugal, October 2012. [ bib | PDF | HAL ]
[9] Adrien Jauffret, Nicolas Cuperlier, and Philippe Gaussier. Multimodal integration of visual place cells and grid cells for robots navigation. In Second Symposium on Biology of Decision Making, Paris, France, May 2012. [ bib | HAL ]
[10] Adrien Jauffret, Nicolas Cuperlier, Philippe Gaussier, and Philippe Tarroux. Toward long range robot navigation. In The International Workshop on Bio-Inspired Robots., Nantes, France, April 2011. [ bib | HAL ]


National journal papers

[1] Philippe Gaussier, Souheïl Hanoune, Nicolas Cuperlier, Jean-Paul Banquet, Mathias Quoy, Sidney I Wiener, Mark D. Humphries, Etienne Save, and Bruno Poucet. NEUROBOT : expériences croisées neurobiologie et robotique pour la compréhension des mécanismes cognitifs. Bulletin de l'Association Française pour l'Intelligence Artificielle, page 1, October 2012. [ bib | HAL ]
[2] Nathalie Gaussier, Philippe Laroque, Nicolas Cuperlier, Mathias Quoy, Sorin Moga, and Philippe Gaussier. L'espace au cœur des strategies individuelles: Un regard croise economie-robotique. REM. Revue de l'économie méridionale, 54(213), 2006. [ bib ]
[3] Nathalie Gaussier, P. Laroque, N. Cuperlier, M. Quoy, Sorin Moga, S. Dehors, and P. Gaussier. Cognitive maps in spatial economics: a multidisciplinary approach., 2005. Cahier du GRES n 14. [ bib | HAL ]


National Conference papers

[1] N. Cuperlier, M. Quoy, and Ph. Gaussier. Modele de cellules de transition : application a la planification et a la navigation. In Neurocomp06, 2006. [ bib | HAL ]


Technical repports

[1] Philippe Gaussier, Philippe Tarroux, Nicolas Cuperlier, and Adrien Jauffret. AUTO-EVAL : Final Report for the period 2010-2013. Research report, Université de Cergy Pontoise (UCP) ; Université de Paris Sud, 2013. [ bib | HAL ]
[2] Philippe Gaussier, Philippe Tarroux, Nicolas Cuperlier, and Adrien Jauffret. AUTO-EVAL Report for the period 2010-2011. Research report, Université de Cergy Pontoise (UCP) ; Université Paris sud, 2011. [ bib | HAL ]
[3] Hervé Guillaume, N. Cuperlier, and Philippe Tarroux. Probabilistic models for object recognition in artificial vision. Intern report, LIMSI-CNRS, 2007. [ bib | HAL ]
[4] Christophe Giovannangeli, Nicolas Cuperlier, Mickael Maillard, Mathias Quoy, and Philipe Gaussier. Architecture de navigation biologiquement inspirée, Équipe neurocybernétique. Technical report for the dga, Équipe Neurocybern'tique - ETIS, 2006. [ bib ]
[5] Nathalie Gaussier, Philippe Laroque, Nicolas Cuperlier, Mathias Quoy, Sorin Moga, and Philippe Gaussier. Cognitive maps in spatial economics: A multidisciplinary approach. Cahiers du gres (2002-2009), Groupement de Recherches Economiques et Sociales, 2005. [ bib | HAL ]
[6] Nathalie Gaussier, Claude Lacour, Philippe Laroque, Nicolas Cuperlier, and Mathias Quoy. Etude théorique sur la dimension spatio-temporelle des comportements: une recherche couplée économie -- robotique., 2005. Rapport intermédiaire pour le CNRS, Juin 2004 et Rapport de synthèse, 2005. [ bib | HAL ]



PhD Thesis

[1] Nicolas Cuperlier. Apprentissage et prédiction de séquences sensori-motrices : architecture neuromimétique pour la navigation et la planification d'un robot mobile. PhD thesis, 2006. Thèse de doctorat dirigée par Quoy, Mathias Informatique Cergy-Pontoise 2006. [ bib | HAL ]