I’m a researcher in computational cognitive neuroscience at Inria and the Institute of Neurodegenerative Diseases (Bordeaux, France). I’m investigating decision making, learning and cognition using computational models of the brain and distributed, numerical and adaptive computing, a.k.a. artificial neural networks and machine learning. My research aims to irrigate the fields of philosophy with regard to the mind-body problem, medicine to account for the normal and pathological functioning of the brain and the digital sciences to offer alternative computing paradigms.

Direct access to bibliography (Calls, Highlights, Preprints, Books, Correspondences, Journals, Chapters, Conferences, Science outreach, Invited conferences, Invited lectures) and list of co-authors.


Main office Alternative office
Institut des Maladies Neurodégénératives Inria Bordeaux Sud-Ouest
Centre Broca Nouvelle-Aquitaine 200 Avenue de la Vieille Tour
146 rue Léo Saignat - CS 61292 - Case 28 33405 Talence
33076 Bordeaux cedex Tel: +33 533 514 802

Professional history

2020 - … Researcher (tenured) at Inria Bordeaux Sud‐Ouest
  Head of the Computational Neuroscience team (IMN)
  Member of the Institute of Neurodegenerative Diseases
  Member of the LaBRI laboratory (DART team)
2013 - 2020 Researcher (tenured) at Inria Bordeaux Sud‐Ouest
  Vice‐head of the Mnemosyne team‐project
  Member of the Institute of Neurodegenerative Diseases
  Member of the LaBRI laboratory
2002 - 2013 Researcher (tenured) at Inria Nancy Grand‐Est
  Member of the Cortex team‐project
  Member of the Loria laboratory
2000 - 2002 Associate Researcher at the Colorado University, Boulder, USA
  Member of the O’Reilly Cognitive Psychology laboratory


2011 Habilitation, Université Nancy 2
  Fondements biologiques pour le calcul distribué, numérique et adaptatif
1997-2000 Ph.D. in Computer Science, Université Henri Poincaré
  Modèles de mémoires pour la navigation autonome
(1996-1997 Military service in naval aviation)
1993-1996 Engineer Telecom Nancy (ex ESIAL)
  DEA (Master) in Computer Science , Université Nancy 1


Team leader of the computational neuroscience team at the institute of neurodegenerative diseases. Co‐founder and editor in chief of ReScience C and Rescience X, editor for PeerJ Computer Science, review editor for Frontiers in Neurobotics, Frontiers in Neuroscience, Frontiers in Psychology, former elected member of the national Inria evaluation committee, vice‐head of the Mnemosyne project, member of the Open Access Scholarly Publishers Association. I have directed 12 Phd Students, 4 post‐docs, ≈25 master students, reviewed and examined ≈15 PhD thesis and participated in more than 10 hiring committees (tenured position). I’m regularly teaching cognitive science, computational neuroscience, numerical computation and scientific visualization at university, doctoral schools and summer schools. I’ve also published several resources about scientific computation, scientific visualization and machine learning.

Main collaborators

Thomas Boraud (Institute of Neurodegenerative Diseases, Bordeaux)
Arthur Leblois (Institute of Neurodegenerative Diseases, Bordeaux)
Konrad Hinsen (Centre de Biophysique Moléculaire, Orléans)
Etienne Roesch (University of Reading, Reading, UK)
Frédéric Alexandre (Inria Bordeaux Sud-Ouest)

PhD students

Fjola Hyseni (MD) 2020-2023
Nikolaos Vardalakis 2020-2023
Snighda Dagar 2109-2022
Remya Sankar 2018-2021
Anthony Strock 2017-2020

Ikkram Chraibi Kaadoud (Phd) 2015-1018
Aurélien Nioche (PhD) 2014-2018
Meropi Topalidou (PhD) 2013-2016
Georgios Detorakis (PhD) 2010-2013
Wahiba Taouali (PhD) 2009-2012
Jérémy Fix (PhD) 2005-2008
Julien Vitay (PhD) 2002-2006

Post-doc students

Fabien Benureau 2016-1017
Zhor Ramdane-Cherif 2005-2006
Rémi Coulom 2003-2004
Alistair Bray 1998-2000


Kepa Labescau (2020, Médecine/Science, Bordeaux), Dimitri Lerévérend (2020, ENS Rennes), Nicolas Thou (2020, ENSEIRB, Bordeaux), Adrien Tétar (2019, ESIEE, Paris), Gabriel Gouraud (2019, Polytechnique, Saclay), Théophile Boraud (2018, Univ. Warwick, UK), Edwige Cyffers (2018, ENS, Lyon), Basile Garcia (2018, Univ. Bordeaux, Bordeaux), Remya Sankar (2017, IIIT Hyderabad, India), Anthony Strock (2017, ENS, Rennes), Sabyasachi Shivkumar (2016, IIIT Madras, India), Barghav teja Nallapu (2015, IIIT Hyderabad, Indoa), Aurélien Marie (2015, Univ. Bordeaux, Bordeaux), Hima Mehta (2014, IIIT Hyderabad, Inde), Meropi Topalidou (2013, Univ. Crete, Greece), Zoé Barbanneau (2011, Ecole Estienne, Paris), Wahiba Taouali (2009, Ecole des Mines, Nancy), Andrew Szabados (2008, Univ. Jussieu, Paris), Johnatan Gall (2006, Supélec, Metz), Jérémy Fix (2003, Supélec, Metz), Yoann Dieu (2003, Univ. Strasbourg, Strasbourg), Julien Vitay (2002, Supélec, Rennes).

Ongoing projects

Scientific Python (2019-2021) A series of three volumes on Scientific Python: Scientific Computation (Numpy), Scientific Visualization (Matplotlib) & Scientific Modelling (Scipy).

Ecomob (Regional grant 2019-2022) A joint project between University of La Rochelle, University of Bordeaux and Inria for the study of eco-mobility and the modelling of multi-criteria decision.

SOMA (ANR/FNSNF 2018-2021) This project is a unique collaboration between neuro-hardware, cellular computing, reconfigurable computing and neuroscience that aims at defining a new computational paradigm: a self-organizing and adaptive architecture with the design of an experimental hardware chip.

Macaque40 (ANR 2016-2019) The objective of this interdisciplinary study is to study the conditions for the emergence of a monetary economy under ecological conditions: a finite number of agents with limited rationality and time constraints.

Psyphine (CNRS, 2019-2020) This multidisciplinary group (computer science, philosophy, psychology, neuroscience, linguistic, ethnology) studies cognition from a theoretical and experimental perspective. We’ve designed a robotic lamp and study how people interact with it and interpret its behavior.


Glumpy is is a python library for scientific visualization that is both fast, scalable and beautiful. Glumpy offers an intuitive interface between numpy and modern OpenGL.

Freetype-GL is a C library for displaying text in OpenGL using one vertex buffer, one texture and the Freetype librart with flawless rendering quality in orthographic mode.

Machine learning recipes is a collection of stand-alone examples of machine learning algorithms in Python covering multi-armed bandits, artificial neural networks and Markod decision Processes.

DANA is a Python library for distributed asynchronous numerical and adaptive computing. The computational paradigm supporting the dana framework is grounded on the notion of a unit that is a set of arbitrary values that can vary along time under the influence of other units and learning.

→ See my GitHub page for more software and tutorials.


Some artworks I designed for conferences and events I organized or co-organized over the years.


I appear (in general) as the first author when I have done the work prior to writing (design, modeling, implementation and/or analysis) and as the last author (or penultimate for some collaborations) when I have directly supervised or initiated the work (student, doctoral student, post-doctoral fellow). On the whole of my bibliography, I have about 250 co-authors and my scientific spectrum is mainly included in neurosciences and machine learning with however notable contributions in computer graphics, open and reproducible science and scientific visualization.

Major journals where I published are PNAS (2005), Neural Networks (2006, 2009) Neurocomputing (2011), PLoS Computational Biology (2014), Movement Disorders (2016), Progress in Neurobiology (2018), Neural Computation (2020), Science Advances (2020) but also Nature (2014, 2014, 2018, 2019, 2020) and Science (2019) for correspondences, interviews and reports on my work.

I’ve also given a course at SIGGRAPH which is the major conference in computer graphics and gave a talk ISHPSSB in 2019 which is the major conference in philosophy of biology.


  1. Inria, Software Heritage, and Unesco. 2019. Paris Call - Software Source Code as Heritage. Signatories: J-F. Abramatic, K. Albert, G. Alberts, K. Bradley, R. Buckley, N. Chue Hong, D. Clipsham, E. Cochrane, R. Di Cosmo, L. Duplouy, M. Gharsallah, J.M Greenberg, B. Guerry, M. Hinchey, P. Inverardi, V. Issarny, P. Madhavan, F. Marzano, G. Miura, P. Moreau, E. Nardelli, P. O’Donohue, M.R. Osuna Alarcón, J. Palm, T. Perelmuter, S. Phipps, C. Piana, N.P. Rougier, M. Sassi, D. Schüller, A. Seles, L. Shustek, A. Smith, M. Webb, P. Wheatley, S. Wyber URL


  1. Thompson, B. and Howe, N. 2020. The challenge of reproducing results from ten-year-old code. Nature 584, 7822. Podcast on the "Ten Years Reproducibility Challenge" URL
  2. Perkel, J.M. 2020. Challenge to scientists: does your ten-year-old code still run? Nature 584, 7822, 656–658. Extended report on the "Ten Years Reproducibility Challenge" DOI URL
  3. Hutson, M. 2018. Artificial intelligence faces a replication crisis. Science 359, 6377. Interview about the ReScience journal URL
  4. Woolston, C. 2014. How to dodge the pitfalls of bad illustrations. Nature. Highlight on "Ten Simple Rules for Better Figures" DOI
  5. Nature. 2014. How to draw perfect figures. Nature 513, 7519, 463–463. Social selection about "Ten Simple Rules for Better Figures" DOI


  1. Rougier, N.P. 2020. Voronoidal Self Organizing Map. arXiv.
  2. Rougier, N.P. 2020. On the design of text editors. arXiv. URL
  3. Strock, A., Rougier, N.P., and Hinaut, X. 2020. Transfer between long-term and short-term memory using Conceptors. arXiv. URL
  4. Chraibi-Kaadoud, I., Rougier, N.P., and Alexandre, F. 2019. Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. arXiv. URL
  5. Shivkumar, S., Chakravarthy, V.S., and Rougier, N.P. 2017. Modeling the Role of Striatum in Stochastic Multi Context Tasks. BioRxiv. DOI URL
  6. Rougier, N.P. and Timmer, J. 2017. Ten Simple Rules for Scientific Fraud & Misconduct. HAL. URL PDF


  1. Rougier, N.P. 2020. Scientific Visualization: Python & Matplotlib. GitHub. To appear URL
  2. Psyphine, ed. 2020. Que prêtons-nous aux machines ? Approches interdisciplinaires des interactions homme-robot. Presses Universitaires Paris Nanterres.
  3. Desquilbet Loı̈c, Granger, S., Hejblum, B., Legrand, A., Pernot, P., and Rougier, N.P. 2019. Vers une Recherche Reproductible. . URL
  4. Rougier, N.P. 2018. Python & OpenGL for Scientific Visualization. Zenodo. URL CODE
  5. Rougier, N.P. 2016. From Python to Numpy. Zenodo. DOI URL PDF CODE
  6. Varoquaux, G., Gouillart, E., Vahtras, O., Haenel, V., Rougier, N.P., Gommers, R., Pedregosa, F., Jedrzejewski-Szmek, Z., Virtanen, P., Combelles, C., Pinte, D., Cimrman, R., Espaze, A., Chauve, A., and Burns, C. 2015. Scipy Lecture Notes. Zenodo. DOI PDF CODE


  1. Roesch, E.B. and Rougier, N.P. 2020. New journal for reproduction and replication results. Nature 581, 7806, 30–30. DOI URL
  2. Hinsen, K. and Rougier, N.P. 2019. Challenge to test reproducibility of old computer code. Nature 574, 7780. DOI URL
  3. Hinsen, K. and Rougier, N.P. 2019. ReScience (R)evolution. ReScience 5. URL
  4. Rougier, N.P. and Hinsen, K. 2018. Code reviewing puts extra demands on referees. Nature 556, 7701. DOI
  5. Guest, O. and Rougier, N.P. 2017. Diversity in reproducibility. IEEE CDS Newsletter 13, 2. URL PDF CODE
  6. Guest, O. and Rougier, N.P. 2016. What is computational reproducibility? IEEE CDS Newsletter 13, 1. URL PDF CODE
  7. Topalidou, M., Leblois, A., Boraud, T., and Rougier, N.P. 2015. A Long Journey into Reproducible Computational Neuroscience. Frontiers in Computational Neuroscience 9, 28. DOI PDF
  8. Rougier, N.P. and Alexandre, F. 2003. Emergence of Representations Through Interactions of a Robot with the Real World. ERCIM News 53. URL PDF


  1. Strock, A., Hinaut, X., and Rougier, N.P. 2020. A Robust Model of Gated Working Memory. Neural computation 32, 1. URL PDF
  2. Bourdenx, M., Nioche, A., Dovero, S., Arotcarena, M.-L., Camus, S., Porras, G., Thiolat, M.-L., Rougier, N.P., Prigent, A., Aubert, P., Bohic, S., Sandt, C., Laferriere, F., Doudnikoff, E., Kruse, N., Mollenhauer, B., Novello, S., Morari, M., Leste-Lasserre, T., Damas, I.T., Goillandeau, M., Perier, C., Estrada, C., Carrillo, N.G., Recasens, A., Vaikath, N.N., El-Agnaf, O.M.A., Ezquerro, M.T.H., Derkinderen, P., Bover, M.V., Obeso, J.A., Dehay, B., and Bezard, E. 2020. Identification of distinct pathological signatures induced by patient-derived α-synuclein structures in non-human primates. Science Advances 6, 20, eaaz9165. DOI URL
  3. Nioche, A., Garcia, B., Lefebvre, G., Boraud, T., Rougier, N.P., and Bourgeois-Gironde, S. 2019. Coordination over a unique medium of exchange under information scarcity. Humanities and social sciences communications (Nature) 5, 1. DOI PDF CODE
  4. Nioche, A., Garcia, B., Boraud, T., Rougier, N.P., and Bourgeois-Gironde, S. 2019. Interaction effects between consumer information and firms.’ Humanities and social sciences communications (Nature) 5. DOI URL
  5. Alliez, P., Guedj, B., Cosmo, R.D., Girault, A., Hacid, M.-S., Legrand, A., and Rougier, N.P. 2019. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. Computing in Science & Engineering (IEEE). URL
  6. Topalidou, M., Kase, D., Boraud, T., and Rougier, N.P. 2018. A Computational Model of Dual Competition between the Basal Ganglia and the Cortex. eNeuro 5, 6. DOI
  7. Boraud, T., Leblois, A., and Rougier, N.P. 2018. A Natural History of Skills. Progress in Neurobiology 171. DOI
  8. Rougier, N.P. 2018. A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds. Frontiers in Neuroinformatics 12. DOI CODE
  9. Benureau, F.C.Y. and Rougier, N.P. 2018. Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions. Frontiers in Neuroinformatics 11. DOI CODE
  10. Rougier, N.P., Hinsen, K., Alexandre, F., Arildsen, T., Barba, L., Benureau, F.C.Y., Brown, C.T., Buyl, P. de, Caglayan, O., Davison, A.P., Delsuc, M.A., Detorakis, G., Diem, A.K., Drix, D., Enel, P., Girard Benoı̂t, Guest, O., Hall, M.G., Henriques, R.N., Hinaut, X., Jaron, K.S., Khamassi, M., Klein, A., Manninen, T., Marchesi, P., McGlinn, D., Metzner, C., Petchey, O.L., Plesser, H.E., Poisot, T., Ram, K., Ram, Y., Roesch, E., Rossant, C., Rostami, V., Shifman, A., Stachelek, J., Stimberg, M., Stollmeier, F., Vaggi, F., Viejo, G., Vitay, J., Vostinar, A., Yurchak, R., and Zito, T. 2017. Sustainable computational science: the ReScience initiative. PeerJ Computer Science 3, e142. DOI CODE
  11. Rougier, N.P. 2017. [Re] Weighted Voronoi Stippling. ReScience 3, 1. DOI PDF CODE
  12. Piron, C., Kase, D., Topalidou, M., Goillandeau, M., Rougier, N.P., and Boraud, T. 2016. The globus pallidus pars interna in goal-oriented and routine behaviors: Resolving a long-standing paradox. Movement Disorders. DOI CODE
  13. Topalidou, M. and Rougier, N.P. 2015. [Re] Interaction between cognitive and motor cortico-basal ganglia loops during decision making: a computational study. ReScience 1, 1. DOI PDF CODE
  14. Taouali, W., Goffart, L., Alexandre, F., and Rougier, N.P. 2015. A parsimonious computational model of visual target position encoding in the superior colliculus. Biological Cybernetics 109, 4-5. DOI PDF CODE
  15. Detorakis, G. and Rougier, N.P. 2014. Structure of Receptive Fields in a Computational Model of Area 3b of Primary Sensory Cortex. Frontiers in Computational Neuroscience. DOI PDF
  16. Rougier, N.P. 2014. Antialiased 2D Grid, Marker, and Arrow Shaders. Journal of Computer Graphics Techniques (JCGT) 3, 4, 1–52. URL PDF
  17. Rougier, N.P., Droettboom, M., and Bourne, P.E. 2014. Ten Simple Rules for Better Figures. PLoS Computational Biology 10, 9. DOI PDF CODE
  18. Rougier, N.P. 2013. Higher Quality 2D Text Rendering. Journal of Computer Graphics Techniques (JCGT) 2, 1, 50–64. URL PDF
  19. Rougier, N.P. 2013. Shader-based Antialiased Dashed Stroke Poylines. Journal of Computer Graphics Techniques (JCGT) 2, 2, 105–121. URL PDF
  20. Rougier, N.P. and Fix, J. 2012. DANA: Distributed numerical and adaptive modelling framework. Network: Computation in Neural Systems 23, 4, 237–253. URL PDF CODE
  21. Detorakis, G.I. and Rougier, N.P. 2012. A Neural Field Model of the Somatosensory Cortex: Formation, Maintenance and Reorganization of Ordered Topographic Maps. PLoS ONE 7, 7, e40257. DOI PDF
  22. Fix, J., Rougier, N.P., and Alexandre, F. 2011. A Dynamic Neural Field Approach to the Covert and Overt Deployment of Spatial Attention. Cognitive Computation 3, 1, 279–293. DOI PDF
  23. Taouali, W., Viéville, T., Rougier, N.P., and Alexandre, F. 2011. No Clock to Rule Them All. Journal Of Neurophysiology, Paris 105, 1–3. DOI PDF
  24. Rougier, N.P. and Boniface, Y. 2011. Dynamic Self-Organising map. Neurocomputing 74, 11, 1840–1847. DOI PDF CODE
  25. Rougier, N.P. and Hutt, A. 2011. Synchronous and Asynchronous Evaluation of Dynamic Neural Fields. Journal of Difference Equations and Applications 17, 8. DOI PDF
  26. Hutt, A. and Rougier, N.P. 2010. Activity spread and breathers induced by finite transmission speeds in two-dimensional neural fields. Physical Review E 82, 5. DOI PDF CODE
  27. Rougier, N.P. 2009. Implicit and Explicit Representations. Neural Networks 22, 2, 155–160. DOI PDF
  28. Fix, J., Rougier, N.P., and Alexandre, F. 2007. From physiological principles to computational models of the cortex. Journal of Physiology, Paris, 32–39. DOI PDF
  29. Rougier, N.P. and Vitay, J. 2006. Emergence of Attention within a Neural Population. Neural Networks 19, 5, 573–581. DOI PDF
  30. Rougier, N.P. 2006. Dynamic Neural Field with Local Inhibition. Biological Cybernetics 94, 3, 169–179. DOI PDF
  31. Rougier, N.P., Noelle, D.C., Braver, T.D., Cohen, J.D., and O’Reilly, R.C. 2005. Prefrontal Cortex and Flexible Cognitive Control: Rules Without Symbols. Proceedings of the National Academy of Science 102, 20, 7338–7343. URL PDF
  32. Rougier, N.P. and O’Reilly, R.C. 2002. A Gated Prefrontal Cortex Model of Dynamic Task Switching. Cognitive Science 26, 4, 503–520. URL PDF


  1. Rougier, N.P. and Hinsen, K. 2019. ReScience C: A Journal for Reproducible Replications in Computational Science. In: B. Kerautret, M. Colom, D. Lopresti, P. Monasse and H. Talbot, eds., Reproducible Research in Pattern Recognition. Springer, Cham. PDF
  2. Strock, A., Rougier, N.P., and Hinaut, X. 2019. Using Conceptors to Transfer Between Long-Term and Short-Term Memory. In: Artificial Neural Networks and Machine Learning. Springer International Publishing, 19–23. DOI URL
  3. Alexandre, F., Dominey, P.F., Gaussier, P., Girard Benoı̂t, Khamassi, M., and Rougier, N.P. 2019. When Artificial Intelligence and Computational Neuroscience meet. In: A guided tour of artificial intelligence research, Vol. 3 Interfaces and applications of artificial intelligence. Springer-Verlag.
  4. Chraibi-Kaadoud, I., Rougier, N.P., and Alexandre, F. 2017. Implicit Knowledge Extraction and Structuration from Electrical Diagrams. In: Advances in Artificial Intelligence: From Theory to Practice. Springer International Publishing, 235–241. DOI PDF
  5. Hutt, A. and Rougier, N.P. 2014. Numerical simulation scheme of one-and two-dimensional neural fields involving space-dependent delays. In: P. beim Graben, S. Coombes, R. Potthast and J.J. Wright, eds., Neural Field Theory. Springer. DOI PDF CODE
  6. Rougier, N.P. and Detorakis, G.I. 2013. Self-Organizing Dynamic Neural Fields. In: Y. Yamaguchi, ed., Advances in Cognitive Neurodynamics (III). Springer. DOI PDF CODE
  7. Taouali, W., Rougier, N.P., and Alexandre, F. 2012. Visual Target Selection Emerges from a Bio-inspired Network Topology. In: K. Kurosh Madani, A.D. Correia, A. Rosa and J. Filipe, eds., Computational Intelligence. Springer-Verlag. DOI PDF
  8. Fix, J., Vitay, J., and Rougier, N.P. 2007. A Computational Model of Spatial Memory Anticipation during Visual Search. In: M.V. Butz, O. Sigaud, G. Pezzulo and G. Baldassarre, eds., Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. Springer-Verlag Berlin Heidelberg. DOI PDF
  9. Vitay, J., Rougier, N.P., and Alexandre, F. 2005. A distributed model of visual spatial attention. In: S. Wermter, G. Palm and M. Elshaw, eds., Biomimetic Neural Learning for Intelligent Robotics. Springer-Verlag. DOI PDF
  10. Frezza-Buet, H., Rougier, N.P., and Alexandre, F. 2000. A cerebral framework for the integration of biologically inspired temporal mechanisms for sequence processing. In: L. Giles and R. Sun, eds., Neural, symbolic and Reinforcement methods for sequence learning. Springer. PDF
  11. Rougier, N.P. 1999. Mémoires déclarative et procédurale pour la navigation autonome d’un animat. In: A. Drogoul and J.A. Meyer, eds., Intelligence artificielle située. Cerveau, corps et environnement. Hermès. PDF


  1. Benureau, F.C.Y. and Rougier, N.P. 2019. Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions. SciPy Japan.
  2. Rougier, N.P. 2019. The Eye of the Modeler. International Society for the History Philosophy and Social Studies of Biology biennial meeting.
  3. Rougier, N.P. and Hinsen, K. 2018. ReScience C: a journal for reproducible replications in computational science. International Conference on Pattern Recognition (ICPR), Springer. PDF
  4. Upegui, A., Girau, B., Rougier, N.P., Vannel, F., and Miramond, B. 2018. Pruning Self-Organizing Maps for Cellular Hardware Architectures. NASA/ESA Conference on Adaptive Hardware and Systems.
  5. Rougier, N.P. and Esfahbod, B. 2018. Digital Typography Rendering. ACM SIGGRAPH. PDF
  6. Strock, A., Rougier, N.P., and Hinaut, X. 2018. A Simple Reservoir Model of Working Memory with Real Values. International Joint Conference on Neural Networks (IJCNN). PDF
  7. Khacef, L., Girau, B., Rougier, N.P., Upegui, A., and Miramond Benoı̂t. 2018. Neuromorphic hardware as a self-organizing computing system. Neuromorphic Hardware In Practice and Use (NHPU) workshop 2018 in IEEE World Congress on Computational Intelligence (WCCI): International Joint Conference on Neural Networks (IJCNN). PDF
  8. Rougier, N.P. and Boniface, Y. 2017. Motivated Self-Organization. 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization (WSOM). PDF
  9. Nallapu, B.T., Surampudi, B.R., and Rougier, N.P. 2017. The art of scaling up : a computational account on action selection in the basal ganglia. International Joint Conference in Neural Networks (IJCNN).
  10. Nallapu, B.T. and Rougier, N.P. 2016. Dynamics of reward based decision making a computational study. International Conference on Artificial Neural Networks (ICANN). PDF
  11. Topalidou, M., Piron, C., Kase, D., Boraud, T., and Rougier, N.P. 2015. The Formation of Habits: implicit supervision of the basal ganglia. RLDM, Canada.
  12. Hinsen, K. and Rougier, N.P. 2015. The ReScience initiative. Euroscipy.
  13. Campagnola, L., Klein, A., Rossant, C., and Rougier, N.P. 2015. VisPy: Harnessing The GPU For Fast, High-Level Visualization. Scipy, USA. CODE
  14. Rougier, N.P. 2014. Modern Scientific Visualization. X Developer’s Conference.
  15. Campagnola, L., Klein, A., Rossant, C., and Rougier, N.P. 2013. Vispy: A Modern and Interactive Visualization Framework. Euroscipy. CODE
  16. Detorakis, G.I. and Rougier, N.P. 2012. Skin Topographic Maps in SI. Progress in Neural Field Theory.
  17. Rougier, N.P. and Detorakis, G.I. 2011. Self-Organizing Dynamic Neural Fields. Third International Conference on Cognitive Neurodynamics.
  18. Rougier, N.P. and Fix, J. 2011. Distributed, Numerical, Asynchronous and Adaptive computing framework. Python in Neuroscience, EurosScipy satellite.
  19. Taouali, W., Rougier, N.P., and Frédéric, A. 2010. Saccades generation : from the visual input to the superior colliculus. International Conference on Neural Computation ICNC.
  20. Rougier, N.P. 2010. From Computational Neurosience to Cellular Automata. Automata.
  21. Taouali, W., Frédéric, A., Hutt, A., and Rougier, N.P. 2009. Asynchronous Evaluation as an Efficient and Natural Way to Compute Neural Networks. 7th International Conference of Numerical Analysis and Applied Mathematics - ICNAAM.
  22. Fix, J., Rougier, N.P., and Alexandre, F. 2007. A top-down attentional system scanning multiple targets with saccades. From Computational Cognitive Neuroscience to Computer Vision.
  23. Fix, J., Vitay, J., and Rougier, N.P. 2006. A Computational Model of Spatial Memory Anticipation during Visual Search. Anticipatory Behavior in Adaptive Learning Systems.
  24. Alexandre, F., Rougier, N.P., and Viéville, T. 2006. A regularization process to implement self-organizing neuronal networks. International Conference on Engineering and Mathematics.
  25. Vitay, J. and Rougier, N.P. 2005. Using Neural Dynamics to Switch Attention. International Joint Conference on Neural Networtks (IJCNN).
  26. Vitay, J., Rougier, N.P., and Alexandre, F. 2004. Reducing connectivity by using cortical modular bands. European Symposium on Artificial Neural Networks (ESANN).
  27. Rougier, N.P. and Alexandre, F. 2001. A cerebral framework for integrating biologically plausible mechanisms in large connectionist models. International Conference on Systems in Biology.
  28. Rougier, N.P. 2001. Hippocampal Auto-Associative Memory. International Joint Conference on Neural Networtks (IJCNN).
  29. Rougier, N.P. and Alexandre, F. 2000. A Model of Hippocampal-Cortical Interaction Using a Synaptic Triad Mechanism. The Nature of Hippocampal-Cortical Interaction: Theoretical and Experimental Perspectives.
  30. Rougier, N.P., Frezza-Buet, H., and Alexandre, F. 1999. Neuronal mechanisms for sequence learning in behavioral modeling. Neural, Symbolic, and Reinforcement Methods for Sequence Learning Workshop, International Joint Conference on Artificial Intelligence (IJCAI).
  31. Rougier, N.P. and Alexandre, F. 1999. Spatial Knowledge Transfer Between Models of Hippocampus and Associative Cortex. International Joint Conference on Neural Networtks (IJCNN).

Science outreach

  1. Rougier, N.P. 2019. Why your cat is lousy at chess yet way smarter than even the most advanced AI . The Conversation (US). URL
  2. Rougier, N.P. 2019. Pourquoi votre chat est nul aux échecs et pourtant plus intelligent qu’une IA . The Conversation (FR). URL
  3. Rougier, N.P. 2019. Et le cerveau dans tout ça ? U magazine. URL
  4. Rougier, N.P. 2016. Why you’ll never be able to upload your brain to the cloud. The Conversation (US). URL
  5. Rougier, N.P. 2016. Silicon soul: The vain dream of electronic immortality. The Conversation (US). URL
  6. Rougier, N.P. 2015. Faut-il avoir peur de l’intelligence artificielle ? Thinkovery #3. URL
  7. Rougier, N.P. 2015. L’intelligence artificielle n’aura pas lieu. Scilogs. URL
  8. Rougier, N.P. 2015. Pourquoi l’idée de télécharger son cerveau n’a pas de sens. The Conversation (FR). URL
  9. Rougier, N.P. 2015. L’intelligence artificielle, mythes et réalités. Interstices. URL
  10. Rougier, N.P. 2015. Une brève histoire de l’intelligence artificielle. Pint of Science, Bordeaux, France URL
  11. Rougier, N.P. 2015. 3615 EULA. Binaires. URL
  12. Rougier, N.P. 2015. Esprit in silico : les vains espoirs de l’immortalité. The Conversation (FR). URL
  13. Rougier, N.P. 2013. Outils et bibliothèques de visualisation. High Performance Computing.
  14. Rousseau, A., Darnaud, A., Goglin, B., Acharian, C., Leininger, C., Godin, C., Holik, C., Kirchner, C., Rives, D., Darquie, E., Kerrien, E., Neyret, F., Masseglia, F., Dufour, F., Berry, G., Dowek, G., Robak, H., Xypas, H., Illina, I., Gnaedig, I., Jongwane, J., Ehrel, J., Viennot, L., Guion, L., Calderan, L., Kovacic, L., Collin, M., Enard, M.-A., Comte, M.-H., Quinson, M., Olivi, M., Giraud, M., Dorémus, M., Ogouchi, M., Droin, M., Lacaux, N., Rougier, N.P., Roussel, N., Guitton, P., Peterlongo, P., Cornus, R.-M., Vandermeersch, S., Maheo, S., Lefebvre, S., Boldo, S., Viéville, T., Poirel, V., Chabreuil, A., Fischer, A., Farge, C., Vadel, C., Astic, I., Dumont, J.-P., Féjoz, L., Rambert, P., Paradinas, P., De Quatrebarbes, S., and Laurent, S. 2013. Médiation Scientifique : une facette de nos métiers de la recherche. . URL PDF
  15. Rougier, N.P. 2013. Percer les mystères du cerveau. Interstices. URL
  16. Rougier, N.P. 2013. Petite histoire de la cybercriminalité. Journée pédagogique pour l’ISN. URL
  17. Rougier, N.P. 2011. Mémoire vive. Universcité #4. URL

Invited conferences

  1. Rougier, N.P. 2019. Bootstrapping Cognition. Robotics, development and neurosciences. URL
  2. Rougier, N.P. 2018. ReScience. Enabling Reproducibility in Machine Learning MLTrain@RML (ICML 2018). URL
  3. Rougier, N.P. 2018. We ReDo Science. Bernstein PhD Symposium. URL
  4. Rougier, N.P. 2017. ReScience, one year after. Openscience, transparence et évaluation. URL
  5. Rougier, N.P. 2017. Noise and Decision. Symposium on the Biology of Decision Making. URL
  6. Rougier, N.P. 2017. Reproducible Science. University of Reading (UK). URL
  7. Rougier, N.P. 2017. Decision Making: who’s in charge? Lex Robotica. URL
  8. Rougier, N.P. 2017. Scientific publishing on GitHub. Emerging models in scientific communication (CNS 2017). URL
  9. Rougier, N.P. 2016. Two actors, one critic. Robotique & Neurosciences. URL
  10. Rougier, N.P. 2016. Open Science. AdaWeek. URL
  11. Rougier, N.P. 2016. ReScience. Loi Numérique, et après ? URL
  12. Rougier, N.P. 2015. ReScience, refaire la science. Retour d’expériences sur la recherche reproductible. URL
  13. Rougier, N.P. 2015. On ne voit que ce que l’on regarde. Unithé ou Café.
  14. Rougier, N.P. 2015. From Neuron to Behavior. Neuropsychology through the lenses of computational modelling.
  15. Rougier, N.P. 2015. Distributed, Asynchronous, Numerical & Adaptive computing. BioComp. URL
  16. Rougier, N.P. 2014. Cortical Plasticity. Bernstein Conference workshop. URL
  17. Rougier, N.P. 2014. Cortical plasticity, a computational approach. International Conference on Neural Field Theory. URL
  18. Rougier, N.P. 2014. Cortical plasticity. Computational Neuroscience Network. URL
  19. Rougier, N.P. 2014. Where is my mind? Forum des Sciences Cognitives. URL
  20. Rougier, N.P. 2013. We see only what we look at. Cerveau et Informatique.
  21. Rougier, N.P. 2013. Where is my mind? La Robotique et le Vivant. URL
  22. Rougier, N.P. 2012. Dynamic Neural Fields. Brain & Signals.
  23. Rougier, N.P. 2011. Models of Visual Attention. Intelligence Artificielle Embarquée.
  24. Rougier, N.P. 2009. Architecture Cérébrale et Robotique Autonome. Robots, Hybrides et Corps. URL
  25. Rougier, N.P. 2008. Visual Attention. Computational Vision.
  26. Rougier, N.P. 2007. Some questions around consciousness. Conceptual Neuroscience (European Institute Para Limes).
  27. Rougier, N.P. 2007. Visual Attention. Models of Language Evolution, Acquisition and Processing.
  28. Rougier, N.P. 2006. Computational Neurocience for Humanoïd robotics. Japanese-French Frontiers of Science.
  29. Rougier, N.P. 2003. Rules without symbols. Computational Models of Active Maintenance in Prefrontal Cortex.
  30. Rougier, N.P. 2000. Mémoire Déclarative. Xèmes Journées Neurosciences et Sciences de l’Ingénieur.

Invited Lectures

  1. Rougier, N.P. 2020. Data Visualization. AI for Industry.
  2. Rougier, N.P. 2019. The Dark Side of Science. Intégrité Scientifique.
  3. Rougier, N.P. 2017. Less is more. Python Scientifique.
  4. Rougier, N.P. 2016. An Introduction to Matplotlib. SciPy.
  5. Rougier, N.P. 2016. Modern scientific visualization. Advanced Scientific Programming in Python.
  6. Rougier, N.P. 2016. From Single Neuron to Population. Electromagnetic Fields and the Nervous System.
  7. Rougier, N.P. 2015. An Introduction to Matplotlib. EuroScipy.
  8. Rougier, N.P. 2015. Advanced Neural Fields. Computational Neuroscience Symposium.
  9. Rougier, N.P. 2014. Scientific visualization challenge. Prospectom.
  10. Rougier, N.P. 2014. Reinforcement Learning. Latin-America Summer School in Computational Neuroscience.
  11. Rougier, N.P. 2013. An introduction to Matplotlib. EuroScipy.
  12. Rougier, N.P. 2013. Scientific visualization. PRACE Winter School.
  13. Rougier, N.P. 2013. Visualisation Scientifique. Journées du dévelopement.
  14. Rougier, N.P. 2010. Embodied Cognition. National Institute of Informatics (Tokyo, Japan).
  15. Rougier, N.P. 2010. Visual Attention. National Institute of Informatics (Tokyo, Japan).
  16. Rougier, N.P. 2010. Introduction to Neural Fields. National Institute of Informatics (Tokyo, Japan).
  17. Rougier, N.P. 2010. Models of Visual Attention. National Institute of Informatics (Tokyo, Japan).

List of co-authors

J.-F. Abramatic, C. Acharian, M.O. Alarcòn, K. Albert, G. Alberts, F. Alexandre, P. Alliez, V. André, T. Arildsen, M. Arotcarena, I. Astic, P. Aubert, L. Barba, J. Becker, F.C.Y. Benureau, G. Berry, E. Bezard, S. Bohic, S. Boldo, Y. Boniface, T. Boraud, A. Boumaza, M. Bourdenx, S. Bourgeois-Gironde, P.E. Bourne, M.V. Bover, K. Bradley, T.D. Braver, C.T. Brown, R. Buckley, C. Burns, P. de Buyl, O. Caglayan, L. Calderan, L. Campagnola, S. Camus, N.G. Carrillo, A. Chabreuil, V.S. Chakravarthy, A. Chauve, I. Chraibi-Kaadoud, R. Cimrman, D. Clipsham, E. Cochrane, J.D. Cohen, M. Collin, C. Combelles, M. Comte, R. Cornus, I.T. Damas, A. Darnaud, E. Darquie, A.P. Davison, S. De Quatrebarbes, B. Dehay, M.A. Delsuc, P. Derkinderen, L. Desquilbet, G.I. Detorakis, R. Di Cosmo, A.K. Diem, P.F. Dominey, M. Dorémus, E. Doudnikoff, S. Dovero, G. Dowek, D. Drix, M. Droettboom, M. Droin, F. Dufour, J. Dumont, L. Duplouy, A. Dutech, J. Ehrel, O.M.A. El-Agnaf, M. Enard, P. Enel, B. Esfahbod, A. Espaze, C. Estrada, M.T.H. Ezquerro, C. Farge, A. Fischer, J. Fix, H. Frezza-Buet, L. Féjoz, B. Garcia, P. Gaussier, M. Gharsallah, V. Giardino, B. Girard, B. Girau, M. Giraud, A. Girault, I. Gnaedig, C. Godin, L. Goffart, B. Goglin, M. Goillandeau, R. Gommers, E. Gouillart, S. Granger, J. Greenberg, B. Guedj, B. Guerry, O. Guest, L. Guion, P. Guitton, M. Hacid, V. Haenel, M.G. Hall, B. Hejblum, R.N. Henriques, X. Hinaut, M. Hinchey, K. Hinsen, C. Holik, N.C. Hong, A. Hutt, I. Illina, P. Inverardi, V. Issarny, K.S. Jaron, Z. Jedrzejewski-Szmek, J. Jongwane, D. Kase, E. Kerrien, L. Khacef, M. Khamassi, C. Kirchner, A. Klein, L. Kovacic, N. Kruse, N. Lacaux, F. Laferriere, S. Laurent, A. Leblois, G. Lefebvre, S. Lefebvre, A. Legrand, C. Leininger, T. Leste-Lasserre, F. Louis, P. Madhavan, S. Maheo, T. Manninen, P. Marchesi, F. Marzano, F. Masseglia, D. McGlinn, C. Metzner, B. Miramond, G. Miura, B. Mollenhauer, M. Morari, P. Moreau, B.T. Nallapu, E. Nardelli, F. Neyret, A. Nioche, D.C. Noelle, S. Novello, P. O'Donohue, R.C. O'Reilly, J.A. Obeso, M. Ogouchi, M. Olivi, J. Palm, P. Paradinas, F. Pedregosa, T. Perelmuter, C. Perier, P. Pernot, O.L. Petchey, P. Peterlongo, S. Phipps, C. Piana, D. Pinte, C. Piron, H.E. Plesser, V. Poirel, T. Poisot, G. Porras, A. Prigent, M. Quinson, K. Ram, Y. Ram, P. Rambert, Z. Ramdane-Cherif, M. Rebuschi, A. Recasens, M. Renauld, D. Rives, H. Robak, E. Roesch, C. Rossant, V. Rostami, A. Rousseau, N. Roussel, C. Sandt, M. Sassi, D. Schüller, A. Seles, A. Shifman, S. Shivkumar, L. Shustek, A. Smith, J. Stachelek, M. Stimberg, F. Stollmeier, A. Strock, B.R. Surampudi, W. Taouali, M. Thiolat, J. Timmer, M. Topalidou, A. Upegui, C. Vadel, F. Vaggi, O. Vahtras, N.N. Vaikath, S. Vandermeersch, F. Vannel, G. Varoquaux, F. Verhaegen, G. Viejo, L. Viennot, P. Virtanen, J. Vitay, T. Viéville, A. Vostinar, M. Webb, P. Wheatley, S. Wyber, H. Xypas, R. Yurchak, T. Zito.

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