Skip to Main content
Number of documents

199

http://www.labri.fr/perso/falexand/

My research interests concern the emergence of intelligent behavior by distributed computing with real or artificial neural networks. They are investigated in the domains of computational neuroscience and cognitive modeling, in tight loop with neuroscience and the medical domain.

 

Concerning computational neuroscience, I explore the structure/function relations in the brain and the links, at several levels of description, between biologically inspired neural architectures and functioning and learning principles. At the level of the population of neurons, I study adapted elementary mechanisms of neuronal functioning and learning. At the level of information flows, I design models of cerebral structures including the posterior and prefrontal cortex, cerebellum, basal ganglia, thalamus, amygdala, hippocampus with application to perceptive scene interpretation, planning and the related various aspects of memorization. A major challenge concerns exchanges of information and transfer of learning between the neuronal structures.

 

Concerning cognitive modeling, I am interested in adaptive behavior for autonomous robotics. My main reference frameworks are embodied cognition and enaction, and I aim at building a global model of the cognitive architecture to study how a variety of functions ranging from perceptive analysis and sensorimotor coordination to executive functions and consciousness are built by interaction with the inner (emotional) and the outer (physical) world. These studies exploit the above-mentioned neural systems but also my other fields of expertise related to machine learning, pattern recognition, data, image and signal processing and neuro-control.

 

Concerning neuroscience and the medical domain, I work in the Bordeaux Neurocampus and have other national and international collaborations to feed the loop of interactions, building models from data and knowledge in these domains and assessing and exploiting them for the study of neuronal mechanisms and structures, animal and human behavior and neurodegenerative diseases.

Journal articles42 documents

  • Frédéric Alexandre, Marie-Hélène Comte, Martine Courbin-Coulaud, Bastien Masse. Formation à l'IA -épisode 3 : Class'Code / Inria IAI. Binaire, Le Monde, 2021. ⟨hal-03120951v2⟩
  • Frédéric Alexandre. A global framework for a systemic view of brain modeling. Brain Informatics, Springer, 2021, ⟨10.1186/s40708-021-00126-4⟩. ⟨hal-03143843⟩
  • Frédéric Alexandre, Xavier Hinaut, Nicolas Rougier, Thierry Viéville. Higher Cognitive Functions in Bio-Inspired Artificial. ERCIM News, ERCIM, 2021, Special topic "Brain inspired computing", 125. ⟨hal-03189215⟩
  • Frédéric Alexandre. Les modèles mathématiques : miracle ou supercherie ?. Binaire, Le Monde, 2020. ⟨hal-02925570⟩
  • Frédéric Alexandre. Les relations difficiles entre l'Intelligence Artificielle et les Neurosciences. Interstices, INRIA, 2020. ⟨hal-02925517⟩
  • Lisa Roux, Margarida Romero, Frédéric Alexandre, Thierry Viéville. Les hauts de Otesia. Binaire, Le Monde, 2020. ⟨hal-03089962⟩
  • Margarida Romero, Frédéric Alexandre, Thierry Viéville, Gérard Giraudon. LINE - Mnémosyne : Des neurosciences computationnelles aux sciences de l’éducation computationnelles pour la modélisation du cerveau de l’apprenant et du contexte de l’activité d’apprentissage. Bulletin de l'Association Française pour l'Intelligence Artificielle, AFIA, 2020. ⟨hal-02541099⟩
  • Thalita Drumond, Thierry Viéville, Frédéric Alexandre. Bio-inspired analysis of deep learning on not-so-big data using data-prototypes. Frontiers in Computational Neuroscience, Frontiers, 2019, 12, ⟨10.3389/fncom.2018.00100⟩. ⟨hal-01954911⟩
  • Pauline Bock, Frédéric Alexandre. [Re] The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network. The ReScience journal, GitHub, 2019, 3 (1), pp.5. ⟨hal-02401066⟩
  • Frédéric Alexandre. De quelles façons l’intelligence artificielle se sert-elle des neurosciences ?. The Conversation, The Conversation France, 2019. ⟨hal-03085820⟩
  • Randa Kassab, Frédéric Alexandre. Pattern Separation in the Hippocampus: Distinct Circuits under Different Conditions. Brain Structure and Function, Springer Verlag, 2018, 223 (6), pp.2785-2808. ⟨10.1007/s00429-018-1659-4⟩. ⟨hal-01931720⟩
  • Frédéric Alexandre. How to Understand Brain-Body-Environment Interactions? Toward a systemic Representationalism. Constructivist foundations, Vrije Universiteit Brussel, 2017, 13 (1), pp.130-131. ⟨hal-01651768⟩
  • Nicolas Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena Barba, et al.. Sustainable computational science: the ReScience initiative. PeerJ Computer Science, PeerJ, 2017, 3, pp.e142. ⟨10.7717/peerj-cs.142⟩. ⟨hal-01592078⟩
  • Frédéric Alexandre. Autonomous Machine Learning. ERCIM News, ERCIM, 2016, Special theme: Machine Learning. ⟨hal-01401888⟩
  • Randa Kassab, Frédéric Alexandre. Integration of exteroceptive and interoceptive information within the hippocampus: a computational study. Frontiers in Systems Neuroscience, Frontiers, 2015, ⟨10.3389/fnsys.2015.00087⟩. ⟨hal-01237876⟩
  • Maxime Carrere, Frédéric Alexandre. A pavlovian model of the amygdala and its influence within the medial temporal lobe. Frontiers in Systems Neuroscience, Frontiers, 2015, pp.14. ⟨10.3389/fnsys.2015.00041⟩. ⟨hal-01145790⟩
  • Wahiba Taouali, Laurent Goffart, Frédéric Alexandre, Nicolas Rougier. A parsimonious computational model of visual target position encoding in the superior colliculus. Biological Cybernetics (Modeling), Springer Verlag, 2015, 109 (4-5), ⟨10.1007/s00422-015-0660-8⟩. ⟨hal-01201785⟩
  • Frédéric Alexandre, Carlos Carvajal, Thierry Viéville. Comprendre le système le plus complexe de notre planète ?. Mathématiques de la Planète Terre, un jour une brève, Association Animath, 2013. ⟨hal-00919818⟩
  • Alvaro O Ardiles, Cheril C Tapia-Rojas, Madhuchhanda Mandal, Frédéric Alexandre, Alfredo Kirkwood, et al.. Postsynaptic dysfunction is associated with spatial and object recognition memory loss in a natural model of Alzheimer's disease.. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2012, 109 (34), pp.13835-40. ⟨10.1073/pnas.1201209109⟩. ⟨hal-00746807⟩
  • Lucian Alecu, Hervé Frezza-Buet, Frédéric Alexandre. Can Self-Organization Emerge through Dynamic Neural Fields Computation?. Connection Science, Taylor & Francis, 2011, 23 (1), pp.1-31. ⟨10.1080/09540091.2010.526194⟩. ⟨inria-00537799⟩
  • Wahiba Taouali, Thierry Viéville, Nicolas P. Rougier, Frédéric Alexandre. No clock to rule them all. Journal of Physiology - Paris, Elsevier, 2011, 105 (1-3), pp.83-90. ⟨10.1016/j.jphysparis.2011.08.005⟩. ⟨inria-00636532⟩
  • Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. A dynamic neural field approach to the covert and overt deployment of spatial attention. Cognitive Computation, Springer, 2011, 3 (1), pp.279-293. ⟨10.1007/s12559-010-9083-y⟩. ⟨inria-00536374⟩
  • Frédéric Alexandre. Idée reçue : Un cerveau artificiel, c’est pour demain. Interstices, INRIA, 2010. ⟨hal-01350264⟩
  • Randa Kassab, Frédéric Alexandre. Incremental Data-driven Learning of a Novelty Detection Model for One-Class Classification with Application to High-Dimensional Noisy Data. Machine Learning, Springer Verlag, 2009, 74 (2), pp.191-234. ⟨inria-00337973⟩
  • Frédéric Alexandre. Cortical basis of communication: local computation, coordination, attention. Neural Networks, Elsevier, 2009, 22, pp.126-133. ⟨inria-00335971⟩
  • Romain Martin, Claude Houssemand, Christine Schiltz, Yves Burnod, Frédéric Alexandre. Is there a continuity between categorical and coordinate spatial relations coding? Evidence from a grid/no-grid working memory paradigm. Neuropsychologia, Elsevier, 2008, 46 (2), pp.576-594. ⟨inria-00175249⟩
  • Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre. Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing, Elsevier, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩. ⟨inria-00186512⟩
  • Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. From physiological principles to computational models of the cortex. Journal of Physiology - Paris, Elsevier, 2007, Neuro-Computation: From Sensorimotor Integration to Computational Frameworks, 101 (1-3), pp.32-39. ⟨10.1016/j.jphysparis.2007.10.009⟩. ⟨inria-00166536v2⟩
  • G. Ackermann, Frédéric Alexandre, J. Andrieu, C. Mering, C. Ollivier. Dynamique des paysages et perspectives de développement durable sur la Petite Côte et dans le delta du Sine - Saloum (Sénégal). Vertigo, Paris : Avancées cinématographiques, 2007, pp.00-00. ⟨hal-01059172⟩
  • Michel Lecompte, Frédéric Alexandre, Mickaël Bertherlot, Axelle Casagrande, Marianne Cohen, et al.. Éléments pour une géographie du ravinement dans les secteurs marneux des Alpes du Sud. Travaux de l'Institut de Géographie de Reims, 2007, pp.27-58. ⟨halshs-00737069⟩
  • Gabriela Ackermann, Frédéric Alexandre, Julien Andrieu, Catherine Mering, Claire Ollivier. Dynamique des paysages et perspectives de développement durable sur la petite cote et dans le delta du Sine - Saloum (Sénégal). Vertigo, Paris : Avancées cinématographiques, 2006, 7 (2). ⟨halshs-00731713⟩
  • Nizar Kerkeni, Frédéric Alexandre, Mohamed Hédi Bedoui, Laurent Bougrain, Mohamed Dogui. Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages. WSEAS Transactions on Information Science and Applications, World Scientific and Engineering Academy and Society (WSEAS), 2005, 2 (11), pp.1854-1861. ⟨inria-00000511⟩
  • Jean Christophe Sarrazin, Arnaud Tonnelier, Frédéric Alexandre. A model of contextual effect on reproduced extents in recall tasks: The issue of the imputed motion hypothesis. Biological Cybernetics (Modeling), Springer Verlag, 2005, 92 (5), pp.303--315. ⟨10.1007/s00422-005-0553-3⟩. ⟨inria-00000582⟩
  • Khaled Ben Khalifa, Mohamed Hédi Bedoui, Mohamed Dogui, Frédéric Alexandre. Alertness States Classification By SOM and LVQ Neural Networks. International Journal of Information Technology, World Enformatika Society, 2004, 1 (4), pp.228-231. ⟨inria-00000662⟩
  • Claudio Castellanos Sánchez, Bernard Girau, Frédéric Alexandre. Approche connexionniste de la perception du mouvement. International Journal of Information Sciences for Decision Making, University of South Toulon - Var, 2004, pp.72-81. ⟨inria-00100242⟩
  • Laurent Bougrain, Maria Gonzalez, Vincent Bouchot, Daniel Cassard, Andor L.W. Lips, et al.. Knowledge Recovery for Continental-Scale Mineral Exploration by Neural Networks. Natural Resources Research, Springer Verlag, 2003, 12 (3), pp.173-181. ⟨inria-00099699⟩
  • Nicolas P. Rougier, Frédéric Alexandre. Emergence of Representations Through Interactions of a Robot with the Real World. ERCIM News, ERCIM, 2003, pp.22-23. ⟨inria-00099617⟩
  • Claudio Castellanos Sánchez, Frédéric Alexandre, Bernard Girau. Towards bio-inspired neural networks for visual perception of motion. ERCIM News, ERCIM, 2003, pp.10-11. ⟨inria-00099830⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. From a biological to a computational model for the autonomous behavior of an animat. Information Sciences, Elsevier, 2002, 144 (1-4), pp.1-43. ⟨inria-00100715⟩
  • Jean-Francois Remm, Frédéric Alexandre. Knowledge extraction using artificial neural networks: Application to radar target identification. Signal Processing, Elsevier, 2002, 82 (1), pp.117-120. ⟨inria-00100719⟩
  • Frédéric Alexandre. Modèles connexionnistes de la mémoire. Thérapie, EDP Sciences, 2000, pp.525-532. ⟨inria-00099242⟩
  • Laurent Bougrain, Frédéric Alexandre. Unsupervised Connectionist Algorithms for Clustering an environmental data set : a comparison. Neurocomputing, Elsevier, 1999, 28 (1-3), pp.177-189. ⟨inria-00099002⟩

Conference papers106 documents

  • Guillaume Padiolleau, Olivier Bach, Alain Hugget, Denis Penninckx, Frédéric Alexandre. A Structure of Restricted Boltzmann Machine for Modeling System Dynamics. IJCNN 2020 - International Joint Conference on Neural Networks, IEEE, Jul 2020, Glasgow, United Kingdom. pp.8. ⟨hal-02925519⟩
  • Frédéric Alexandre. Creativity explained by Computational Cognitive Neuroscience. ICCC'20 - International Conference on Computational Creativity, Sep 2020, Coimbra, Portugal. ⟨hal-02891491⟩
  • Frédéric Alexandre, Robert de Barretin, Jade Becker, Marie-Hélène Comte, Martine Courbin-Coulaud, et al.. Understanding Intelligently Artificial Intelligence : a citizens' open formation. International Workshop on Education in Artificial Intelligence K-12 (EduAI), Jul 2020, Ifrane, Morocco. ⟨hal-02889682⟩
  • Frédéric Alexandre. A computational model to study the dynamics of representations of rewards in the orbital and medial frontal cortex. Normal and pathological reward processing: From synapse to behavior, 6th Bordeaux Neurocampus Conference, Oct 2019, Bordeaux, France. ⟨hal-02388064⟩
  • Frédéric Alexandre. Different learning architectures contribute to value prediction in human cognition. AIC 2018 : 6th International Workshop on Artificial Intelligence and Cognition, Jul 2018, Palermo, Italy. ⟨hal-01931492⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents. IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain. ⟨hal-01931497⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. A survival task for the design and the assessment of an autonomous agent. 7th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2018, Jul 2018, Paris, France. ⟨hal-01931573⟩
  • Pramod Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Raju. A biologically inspired neuronal model of reward prediction error computation. IJCNN 2017 - International Joint Conference on Neural Networks, May 2017, Anchorage, United States. pp.8. ⟨hal-01528658⟩
  • Frédéric Alexandre. Modeling the ventral hippocampus and its role in the limbic system. Journée Scientifique du GDR Neurosciences de la Mémoire, May 2017, Bordeaux, France. ⟨hal-01523746⟩
  • Frédéric Alexandre. What Computational Neuroscience can offer Machine Learning : Autonomous Learning . Workshop on Computational Neuroscience: challenges for the 2030, Jan 2017, Valparaiso, Chile. ⟨hal-01528663⟩
  • Thalita Drumond, Thierry Viéville, Frédéric Alexandre. Using prototypes to improve convolutional networks interpretability. NIPS 2017 - 31st Annual Conference on Neural Information Processing Systems: Transparent and interpretable machine learning in safety critical environments Workshop, Dec 2017, Long Beach, United States. ⟨hal-01651964⟩
  • Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Implicit knowledge extraction and structuration from electrical diagrams. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. ⟨hal-01525028⟩
  • Maxime Carrere, Frédéric Alexandre. Modeling the sensory roles of noradrenaline in action selection. The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (IEEE ICDL-EPIROB), Sep 2016, Cergy-Pontoise / Paris, France. ⟨hal-01401882⟩
  • Frédéric Alexandre. Beyond Machine Learning: Autonomous Learning. 8th International Conference on Neural Computation Theory and Applications (NCTA), Nov 2016, Porto, Portugal. pp.97 - 101, ⟨10.5220/0006090300970101⟩. ⟨hal-01401895⟩
  • Randa Kassab, Frédéric Alexandre. A Heteroassociative Learning Model Robust to Interference. International Joint Conference on Computational Intelligence, Nov 2015, Lisboa, Portugal. ⟨hal-01232017⟩
  • Maxime Carrere, Frédéric Alexandre. Modeling pavlovian conditioning with multiple neuronal populations. IEEE International Joint Conference on Neural Networks, Jul 2015, Killarney, Ireland. ⟨10.1109/IJCNN.2015.7280716⟩. ⟨hal-01237877⟩
  • Frédéric Alexandre. Modeling non-standard pathways in early vision : role of the thalamus. 12th meeting of the french society of Neuroscience, May 2015, Montpellier, France. ⟨hal-01237888⟩
  • Frédéric Alexandre. Intégrer le rôle des émotions dans la modélisation cognitive: apport des neurosciences. Journée pour la Modélisation de l'Irrationnel dans la Cognition (JMIC), Jan 2015, Talence, France. ⟨hal-01237889⟩
  • Frédéric Alexandre. A computational model of the amygdala revisits pavlovian learning. Sino-French International Workshop on Computational Neuroscience, Jun 2014, Shanghai, China. ⟨hal-01016188⟩
  • Maxime Carrere, Frédéric Alexandre. A model of amygdalar modulations and interactions in pavlovian conditioning. Neural Computation and Psychology Workshop, Aug 2014, Lancaster, United Kingdom. ⟨hal-01095032⟩
  • Nicolas Denoyelle, Florian Pouget, Thierry Viéville, Frédéric Alexandre. VirtualEnaction: A Platform for Systemic Neuroscience Simulation.. International Congress on Neurotechnology, Electronics and Informatics, Oct 2014, Rome, Italy. ⟨hal-01063054⟩
  • Frédéric Alexandre, Maxime Carrere, Randa Kassab. Feature, Configuration, History : a bio-inspired framework for information representation in neural networks. International Conference on Neural Computation Theory and Applications, Oct 2014, Rome, Italy. ⟨hal-01095036⟩
  • Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. To flee or not to flee? Neural Field dynamics shape information flows in a model of the thalamocortical visual system. BC - Bernstein Conference - 2013, Sep 2013, Tübingen, Germany. ⟨10.12751/nncn.bc2013.0002⟩. ⟨hal-00858473⟩
  • Elaa Teftef, Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. When early vision in the retina attempts to take decisions about visual motion events : the role of konio cells. Third International Symposium on Biology of Decision Making, Université Pierre et Marie Curie (Paris 6), May 2013, Paris, France. ⟨hal-00826099⟩
  • Maxime Carrere, Frédéric Alexandre. Émergence de catégories par interaction entre systèmes d'apprentissage. Conférence Francophone sur l'Apprentissage Automatique (CAP), Jul 2013, Lille, France. ⟨hal-00826554⟩
  • Thomas Beati, Maxime Carrere, Frédéric Alexandre. Which reinforcing signals in autonomous systems?. Third International Symposium on Biology of Decision Making, May 2013, Paris, France. ⟨hal-00826603⟩
  • Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. Impact of the Konio pathway in the thalamocortical visual system: a modeling study. CNS - 22nd Annual Computational Neuroscience Meeting - 2013, Jul 2013, Paris, France. ⟨10.1186/1471-2202-14-S1-P6⟩. ⟨hal-00826704⟩
  • Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre. A basic model of saccades encoding. The NeuroComp/KEOpS'12 workshop, Oct 2012, Bordeaux, France. ⟨hal-00804303⟩
  • Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. Konio Pathway: An Instinctive Visual Mechanism for Survival and Decision Making?. NeuroComp/KEOpS'12 workshop beyond the retina: from computational models to outcomes in bioengineering. Focus on architecture and dynamics sustaining information flows in the visuomotor system., Oct 2012, Bordeaux, France. ⟨hal-00756471⟩
  • Frédéric Alexandre. Modeling thalamocortical loops. French-Chinese workshop in Computational Neuroscience, Dec 2012, Paris, France. ⟨hal-00989163⟩
  • Frédéric Alexandre, Nishal Shah. Apprentissage par Renforcement et Réduction de la dimensionnalité : une Approche Bio-inspirée. Conférence francophone d'Apprentissage - CAP 2011, May 2011, Chambéry, France. ⟨inria-00582399⟩
  • Nishal Shah, Frédéric Alexandre. Reinforcement Learning and Dimensionality Reduction: a model in Computational Neuroscience. International Joint Conference on Neural Networks IJCNN 2011, Jul 2011, San Jose, CA, United States. ⟨inria-00586245⟩
  • Nishal Shah, Frédéric Alexandre. Cooperation between reinforcement and procedural learning in the basal ganglia. International Joint Conference on Neural Networks IJCNN 2011 Special Topic Neuroscience and Neurocognition, Jul 2011, San Jose, CA, United States. ⟨inria-00586250⟩
  • Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre. Saccades generation : from the visual input to the superior colliculus. International Conference on Neural Computation ICNC 2010, Oct 2010, Valence, Spain. ⟨inria-00506397⟩
  • Wahiba Taouali, Thierry Viéville, Nicolas P. Rougier, Frédéric Alexandre. On asynchronous dynamic neural field computation. Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France. ⟨hal-00553429⟩
  • Julien Andrieu, Frédéric Alexandre, Alain Genin, Jose San-Emeterio. Ressource fourragère en Afrique soudano-sahélienne : estimation, cartographie, et suivi par analyse de séries temporelles de NDVI NOAA. LES SATELLITES GRAND CHAMP pour le suivi de l'environnement, des ressources naturelles et des risques, Clermont-Ferrand : France (2010), Jan 2010, Clermont-Ferrand, France. ⟨hal-00547685⟩
  • Frédéric Alexandre. Usefulness of emotions in robots. International Society for Research on Emotion Conference, Aug 2009, Leuven, Belgium. ⟨inria-00403083⟩
  • Thomas Girod, Frédéric Alexandre. Effects of a Modulatory Feedback upon the BCM learning rule. Computational Neuroscience, Jul 2009, Berlin, Germany. ⟨inria-00402514⟩
  • Wahiba Taouali, Frédéric Alexandre, Axel Hutt, Nicolas P. Rougier. Asynchronous Evaluation as an Efficient and Natural Way to Compute Neural Networks. 7th International Conference of Numerical Analysis and Applied Mathematics - ICNAAM 2009, Sep 2009, Rethymno, Greece. ⟨inria-00408178⟩
  • Thomas Girod, Frédéric Alexandre. Mécanisme d'auto-organisation corticale : un modèle basé sur la règle de plasticité synaptique BCM. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331561⟩
  • Guillaume Grenet, Frédéric Alexandre. Behavior learning using emotional conditioning. IROS Workshop "From motor to interaction learning in robots", Olivier Sigaud and Jan Peters and Sethu Vijayakumar, Sep 2008, Nice, France. ⟨inria-00335922⟩
  • Frédéric Alexandre, Jérémy Fix, Axel Hutt, Nicolas P. Rougier, Thierry Viéville. On practical neural field parameters adjustment. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331571⟩
  • Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. A computational approach to the covert and overt deployment of spatial attention. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331580⟩
  • Frédéric Alexandre, Bruno Cessac, Thierry Viéville. Neurosciences Computationelles: le cerveau est il un bon modèle de réseaux de neurones ?. Séminaire Algorithmique et Programmation des Professeurs de Mathématiques en Classes Préparatoires, May 2008, Marseille, France. ⟨inria-00338371⟩
  • Nizar Kerkeni, Laurent Bougrain, Mohamed Hédi Bedoui, Frédéric Alexandre, Mohamed Dogui. Reconnaissance automatique des grapho-éléments temporels de l'électroencéphalogramme du sommeil. 5ème édition des Ateliers Traitement et Analyse de l'Information : Méthodes et Applications - TAIMA 2007, May 2007, Hammamet, Tunisie. ⟨inria-00145478⟩
  • Thomas Girod, Laurent Bougrain, Frédéric Alexandre. Toward a robust 2D spatio-temporal self-organization. 15th European Symposium on Artificial Neural Networks - ESANN'2007, Apr 2007, Bruges, Belgium. ⟨inria-00164462⟩
  • Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre. Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition. Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India. ⟨inria-00118122⟩
  • Frédéric Alexandre. Coordination, attention, communication. ICANN Workshop "What it means to communicate", Sep 2007, Porto, Portugal. 10 p. ⟨inria-00170335⟩
  • Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. A Top-down attentional system scanning multiple targets with saccades. From Computational Cognitive Neuroscience to Computer Vision : CCNCV 2007, Mar 2007, Bielefeld, Germany. ⟨inria-00166538⟩
  • Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre. Comparison between two spatio-temporal organization maps for speech recognition. Second IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition - ANNPR 2006, Aug 2006, University of Ulm/Germany, pp.11-20, ⟨10.1007/11829898_2⟩. ⟨inria-00104156⟩
  • Frédéric Alexandre, Nizar Kerkeni, Khaled Ben Khalifa, Mohamed Hédi Bedoui, Laurent Bougrain, et al.. Supervised neuronal approaches for EEG signal classification: experimental studies. The 10th IASTED International Conference on Artificial Intelligence and Soft Computing - ASC 2006, IASTED, Aug 2006, Palma de Mallorca/Spain. ⟨inria-00103248⟩
  • Nizar Kerkeni, Frédéric Alexandre, Mohamed Hédi Bedoui, Mohamed Dogui. Classification Automatique des Stades du Sommeil par Réseaux de Neurones Artificiels. Troisième Workshop "Applications Médicales de l'Informatique : Nouvelles Approches" - AMINA'2006, Nov 2006, Monastir/Tunisie. ⟨inria-00112586⟩
  • Frédéric Alexandre, Nicolas P. Rougier, Thierry Viéville. A regularization process to implement self-organizing neuronal networks. International Conference on Engineering and Mathematics - ENMA 2006, Jul 2006, Bilbao/Spain. ⟨inria-00103256⟩
  • Mohammed Attik, Laurent Bougrain, Frédéric Alexandre. Neural Network Topology Optimization. 15th International conference on Artificial Neural Networks - ICANN 2005, Sep 2005, Warsaw/Poland, pp.53--58, ⟨10.1007/11550907⟩. ⟨inria-00000623⟩
  • Mohammed Attik, Laurent Bougrain, Frédéric Alexandre. Self-organizing Map Initialization. 15th International conference on Artificial Neural Networks - ICANN 2005, Sep 2005, Warsaw/Poland, pp.357--362, ⟨10.1007/11550822_56⟩. ⟨inria-00000622⟩
  • Nizar Kerkeni, Frédéric Alexandre, Mohamed Hédi Bedoui, Laurent Bougrain, Mohamed Dogui. Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks. 5th WSEAS International Conference on SIGNAL, SPEECH and IMAGE PROCESSING - WSEAS SSIP'05, Aug 2005, Corfu Island/Greece. ⟨inria-00000512⟩
  • Frédéric Alexandre. Les spiking neurons : une leçon de la biologie pour le codage et le traitement des données. Traitement et Analyse de l'Information Méthodes et Applications - TAIMA'05, Sep 2005, Hammamet/Tunisie. ⟨inria-00000506⟩
  • Frédéric Alexandre. Anticipation and selective attention. 7eme colloque de la Société des Neurosciences, May 2005, Lille/France. ⟨inria-00000617⟩
  • Frédéric Alexandre, Nizar Kerkeni, Khaled Ben Khalifa, Mohamed Hédi Bédoui. Artificial Neural Networks to extract Knowledge from EEG. The IASTED International Conference on Biomedical Engineering - BioMED2005, Feb 2005, Innsbruck/Austria. ⟨inria-00001258⟩
  • Mohammed Attik, Laurent Bougrain, Daniel Cassard, Vincent Bouchot, Frédéric Alexandre, et al.. Classification and Predictive maps on ore deposits : A Case Study in GIS Andes. 32nd International Geological Congress, 2004, Florence, Italy, 1 p. ⟨inria-00100151⟩
  • Mohammed Attik, Laurent Bougrain, Frédéric Alexandre. Optimal Brain Surgeon Variants for Feature Selection. International Joint Conference on Neural Networks - IJCNN'04, 2004, Budapest, Hungary, 4 p. ⟨inria-00099923⟩
  • Mohammed Attik, Laurent Bougrain, Frédéric Alexandre. Optimal Brain Surgeon Variants for Optimization. 16h European Conference on Artificial Intelligence - ECAI'04, 2004, Valencia, Spain, 2 p. ⟨inria-00099924⟩
  • Georges Schutz, Serge Gillé, Frédéric Alexandre. Unsupervised extraction of temporal evolution patterns on an electric arc furnace process. 11th IFAC Symposium on Automation in Mining, Mineral and Metal processing - IFAC-MMM 2004, Société de l'Electricité, de l'Electronique, et des Technologies de l'Information et de la Communication - France, Sep 2004, Nancy, France, 6 p. ⟨inria-00100167⟩
  • Khaled Ben Khalifa, Bernard Girau, Frédéric Alexandre, Mohamed Hedi Bedoui. Parallel FPGA implementation of self-organizing maps. International Conference on Microelectronics - ICM'04, 2004, Tunis, Tunisia, 4 p. ⟨inria-00100080⟩
  • Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre. Reducing connectivity by using cortical modular bands. European Symposium on Artificial Neural Networks, 2004, Bruges, Belgium. ⟨inria-00000233⟩
  • Frédéric Alexandre. A computational neuronal model for hemispheric specialization. International Conference on Mathematical Biology and Ecology - MABE'04, 2004, Corfu, Greece, 7 p. ⟨inria-00099880⟩
  • Khaled Ben Khalifa, Bernard Girau, Mohamed Hedi Bedoui, Frédéric Alexandre, Radoslav Raytchev. Implantation basse-consommation de cartes auto-organisatrices pour la détection de l'hypovigilance. 14e congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle - RFIA'04, 2004, Toulouse, France, 10 p. ⟨inria-00100084⟩
  • Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet. Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot. Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p. ⟨inria-00099901⟩
  • Abdelmalek Reghis, Frédéric Alexandre, Yann Boniface. Un réseau de neurones pour des associations multimodales. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle - RFIA'2004, 2004, Toulouse, France, 10 p. ⟨inria-00107755⟩
  • Claudio Castellanos Sánchez, Bernard Girau, Frédéric Alexandre. A connectionist approach for visual perception of motion. Brain Inspired Cognitive Systems - BICS 2004, International Computing Sciences Conferences (ICSC) Canada, and University of Stirling, Scotland and Imperial College, London, England, 2004, Stirling, United Kingdom, pp.BIS3-1 1-7. ⟨inria-00100262⟩
  • Juan-Manuel Torres-Moreno, Laurent Bougrain, Frédéric Alexandre. Database Classification by Hybrid Method combining Supervised and Unsupervised Learnings. International Conference on Artificial Neural Networks - ICANN'2003, Jun 2003, Istambul, Turkey, pp.37-40. ⟨inria-00107724⟩
  • Khaled Ben Khalifa, Mohamed Hédi Bédoui, Radoslav Raychev, Mohamed Dogui, Frédéric Alexandre. Séparation des niveaux de vigilance, à partir d'un signal EEG par les cartes auto-organisatrices de Kohonen. Traitement et Analyse de l'Information: Méthodes et Applications - TAIMA'03, R. Deriche, F. Ghorbel, Oct 2003, Hammamet, Tunisie, France. 6 p. ⟨inria-00099484⟩
  • Claudio Castellanos Sánchez, Bernard Girau, Frédéric Alexandre. Approche connexionniste de la perception du mouvement. Manifestation des Jeunes Chercheurs des Sciences et Technologies de l'Information et de la Communication - MajecSTIC'2003, Oct 2003, Marseille, France, 6 p. ⟨inria-00099831⟩
  • Frédéric Alexandre. Different Levels of Time for Artificial Models and Biological Mechanisms. 7th International Conference on Simulation of Adaptive Behavior - SAB'02, Aug 2002, Edinburgh UK, 1 p. ⟨inria-00100793⟩
  • Nicolas P. Rougier, Frédéric Alexandre. A cerebral framework for integrating biologically plausible mechanisms in large connectionist models. International Conference on Systems in Biology, 2001, Pasadena, USA, United States. 1 p. ⟨inria-00100480⟩
  • Salma Jamoussi, Frédéric Alexandre. Implantation d'une carte associative pour l'orientation d'un robot autonome à l'aide d'une image vidéo. Traitement et Analyse d'Images Méthodes et Applications - TAIMA'01, Jun 2001, Hammamet, Tunisie, 6 p. ⟨inria-00100419⟩
  • Georges Schutz, Frédéric Alexandre, Serge Gillé. Neural Networks in Dynamic Process Analysis. 16th IAR - Annual Meeting - IAR/ICD Workshop, ENSPS (Ecole Nationale Supérieure de Physique de Strasbourg / ULP (Université Louis Pasteur Strasbourg), 2001, Strasbourg, France, pp.105-110. ⟨inria-00100657⟩
  • Frédéric Alexandre. Approche modulaire et architecture dédiée pour l'implantation de réseaux neuromimétiques complexes. Colloque Interdisciplinaire en Sciences Cognitives - ARCo'2001, 2001, Lyon, France. ⟨inria-00100482⟩
  • Karima Oucherif, Frédéric Alexandre. Représentation de l'information visuo-spatiale dans les réseaux neuromimétiques. 10ème Journées Neurosciences et Sciences de l'Ingénieur, Gilles Vaucher, 2000, Dinard, France, 4 p. ⟨inria-00107858⟩
  • Karima Oucherif, Frédéric Alexandre. Vers une représentation interne stable d'informations multimodales : approche connexionniste. Colloque invariants et variabilité dans les sciences cognitives, 2000, Paris, France, 1 p. ⟨inria-00107862⟩
  • Frédéric Alexandre. De quelle variabilité sont capables les réseaux de neurones artificiels ?. Invariants et variabilité dans les sciences cognitives, ACI Cognitique, Mar 2000, Paris, France, 6 p. ⟨inria-00099047⟩
  • Bruno Scherrer, Frédéric Alexandre, François Charpillet, Stéphane Vialle. Modélisation stochastique d'une population de neurones, méta-apprentissage dans un problème de classification. Neurosciences et sciences de l'ingénieur, 2000, Dinard, France, 4 p. ⟨inria-00099114⟩
  • Frédéric Alexandre. Quelques lois d'adaptation pour neurones artificiels et réels. Journée sur l'adaptation, 2000, Champenoux, France, 6 p. ⟨inria-00099049⟩
  • Yann Boniface, Frédéric Alexandre, Stéphane Vialle. Une bibliothèque de développement parallèle de réseaux neuromimétiques. Journées Scientifiques du Centre Charles Hermite, Centre Charles Hermite, 2000, Nancy, France, 1 p. ⟨inria-00099367⟩
  • Frédéric Alexandre. Inspiration from Neurosciences to emulate Cognitive Tasks at different Levels of Time. Artificial Intelligence & the Simulation of Behaviour - AISB'2000, 2000, Birmingham, UK. ⟨inria-00099025⟩
  • Nicolas P. Rougier, Frédéric Alexandre. A Model of Hippocampal-Cortical Interaction Using a Synaptic Triad Mechanism. The Nature of Hippocampal-Cortical Interaction: Theoretical and Experimental Perspectives, 2000, Dublin, Irlande. ⟨inria-00099356⟩
  • Frédéric Alexandre. Biological Inspiration for Multiple Memories Implementation and Cooperation. International Conference on Computational Intelligence, 2000, Kosice, Slovak Republic, 4 p. ⟨inria-00099046⟩
  • Laurent Bougrain, Frédéric Alexandre. Unsupervised Connectionist Clustering Algorithms for a better Supervised Prediction : Application to a radio communication problem. International Joint Conference on Neural Networks, International Neural Networks Society, 1999, Washington, USA, 6 p. ⟨inria-00107693⟩
  • Laurent Bougrain, Frédéric Alexandre. Recurrent Neural Networks for mobile phone cell planning using topological information. Fifth International Conference on Engineering Applications of Neural Networks - EANN'99, 1999, Warsaw, Poland, pp.195-199. ⟨inria-00107746⟩
  • Nicolas P. Rougier, Frédéric Alexandre. Spatial Knowledge Transfer Between Models of Hippocampus and Associative Cortex. International Joint Conference on Neural Networtks, 1999, Washington, D. C., 5 p. ⟨inria-00098757⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. Modeling prefrontal functions for robot navigation. International Joint Conference on Artificial Neural Networks, 1999, none, 6 p. ⟨inria-00098765⟩
  • Frédéric Alexandre. Neurosymbolic Integration for Industrial Applications. Human Centered Processes - HCP'99, 10th mini-Euro conference, 1999, Brest, France, pp.469-474. ⟨inria-00107586⟩
  • Nicolas P. Rougier, Hervé Frezza-Buet, Frédéric Alexandre. Neuronal mechanisms for sequence learning in behavioral modeling. Sixteenth International Joint Conference on Artificial Intelligence, Workshop : Neural, Symbolic, and Reinforcement Methods for Sequence Learning, 1999, Stockholm, Sweden, 6 p. ⟨inria-00098756⟩
  • Yann Boniface, Frédéric Alexandre, Stéphane Vialle. A bridge between two paradigms for parallelism : Neural Networks and general purpose MIMD computers.. International Joint Conference on Neural Networtks - IJCNN'99, 1999, Washington, DC, 6 p. ⟨inria-00098761⟩
  • Yann Boniface, Frédéric Alexandre, Stéphane Vialle. A library to implement neural networks on MIMD machines. Euro-Par'99 Parallel Processing, CERFACS & ENSEEIHT - IRIT., 1999, Toulouse, France, pp.935-938. ⟨inria-00099014⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. Specialization within cortical models : An application to causality learning. 7th European Symposium on Artificial Neural Networks - ESANN'99, Apr 1999, Bruges, Belgium, 6 p. ⟨inria-00098766⟩
  • Laurent Bougrain, Nicolas Pican, Frédéric Alexandre. Rôle du contexte dans le modèle OWE : Un réseau de neurones artificiels utilisant des connexions axo-synaptiques. NSI, Neurosciences et Sciences de l'Ingénieur, 1998, Munster, 4 p. ⟨inria-00098696⟩
  • Laurent Bougrain, Frédéric Alexandre. Unsupervised Algorithms for Vector Quantization: Evaluation on an environmental data set. NEURAP, Fourth International Conference on Neural Networks and their Applications, 1998, Marseille, France, pp.347-350. ⟨inria-00098695⟩
  • Marc Braun, Jérome Louis, Thierry Jonveaux, Frédéric Alexandre, Luc Picard. Preoperative fMRI exploration of the dominant inferior parietal lobule. Symposium Neuroradiologicum XVI, 1998, Philadelphia, USA, pp.182. ⟨inria-00098425⟩
  • Yann Boniface, Frédéric Alexandre, Stéphane Vialle. Aide à la parallélisation des réseaux connexionnistes. Neurosciences et Sciences pour l'Ingénieur, 1998, Munster, 4 p. ⟨inria-00098717⟩
  • Yannick Lallement, Frédéric Alexandre. A Fuzzy-Logic and Multi-Layer Perceptron Hybrid Model Applied to a Real World Steel-Making Problem. International Conference on Neural Networks and their Applications, 1998, Marseille, France, pp.399-402. ⟨inria-00098693⟩
  • Frédéric Alexandre. Tools & Methodology for Hybrid Neuro-Symbolic Models. IMACS Int. Conf. on Computational Engineering in Systems Applications - CESA'98, P. Borne, M. Ksouri, A. El Kamel, 1998, Nabeul (Tunisie). ⟨inria-00108034⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. Multimodal Sequence Learning with a Cortically-Inspired Model. 3nd International Conference on Computational Intelligence & Neuroscience - JCIS'98 - Association for Intelligent Machinery, 1998, none, pp.24-27. ⟨inria-00098710⟩
  • Marc Braun, Karine Angoi-Duprez, Thierry Jonveaux, Jérome Louis, René Anxionnat, et al.. fMRI of the dominant inferior parietal lobule. 4th International Conference on Functional Mapping of the Human Brain, 1998, Montreal, Canada, pp.452. ⟨inria-00098424⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. Selection of action with a cortically-inspired model. Seventh European Workshop on Learning Robots, 1998, Edimbourgh, pp.13-21. ⟨inria-00098709⟩
  • Hervé Frezza-Buet, Frédéric Alexandre. A model of cortical activation for robot navigation. International Conference on cognitive and neural systems, 1998, Boston, USA, 3 p. ⟨inria-00098581⟩

Poster communications12 documents

  • Hugo Chateau-Laurent, Frédéric Alexandre, Chris Eliasmith, Serge Thill. Modèle neuronal unifié du traitement conscient et inconscient. Colloque des Jeunes Chercheur.se.s en Sciences Cognitives 2021, Mar 2021, Online, France. ⟨hal-03169486⟩
  • Margarida Romero, Frédéric Alexandre, Lisa Roux, Gérard Giraudon, Thierry Viéville. From computational neuroscience to computational learning science: modeling the brain of the learner and the context of the learning activity. SophIA-summit 2020, Nov 2020, Sophia-Antipolis / Virtual, France. 2020. ⟨hal-03018617⟩
  • Frédéric Alexandre. Modeling executive functions in the prefrontal cortex. XI Dubrovnik Conference on Cognitive Science, May 2019, Dubrovnik, Croatia. ⟨hal-02388018⟩
  • Pramod Kaushik, Frédéric Alexandre. A neuro-computational model showing the effects of ventral striatum lesion on the computation of reward prediction error in VTA. NeuroFrance, the international conference of the french society of Neuroscience, May 2019, Marseille, France. 2019. ⟨hal-02388198⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. A system-level computational model of decision-making and learning in the lateral and medial sub-regions of Orbitofrontal Cortex. OFC 2019 : Fourth Quadrennial Meeting on OFC Function, Nov 2019, Paris, France. ⟨hal-02417618⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. The relational and informational organisation in the orbital and medial prefrontal cortex A study using virtual experimentation. NeuroFrance, the international conference of the french society of Neuroscience, May 2019, Marseille, France. 2019. ⟨hal-02388181⟩
  • Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Modeling Implicit Learning : Extracting Implicit Rules from Sequences using LSTM. WiML 2019 - 14th Women in Machine Learning Workshop at NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02491042⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. Interaction between the limbic and sensori-motor cortico-basal loops : a systemic framework to explain animal behaviour. SBDM 2018 - Eighth International Symposium on Biology of Decision Making, May 2018, Paris, France. ⟨hal-01820371⟩
  • Maxime Carrere, Frédéric Alexandre. Using the Amygdala in decision making. Fifth International Symposium on Biology of Decision Making (SBDM), May 2015, Paris, France. ⟨hal-01237891⟩
  • Charlotte Héricé, Ikram Chraibi Kaadoud, Frédéric Alexandre. Modélisation bio-inspirée dans le numérique et la santé. Fête de la Science 2015 - INRIA Bordeaux Sud-Ouest, Oct 2015, Bordeaux, France. ⟨hal-01230066⟩
  • Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. Impact of the Konio pathway in the thalamocortical visual system: a modeling study. Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P6, 2013. ⟨hal-00842314⟩
  • Laurent Bougrain, Carolina Saavedra, Baptiste Payan, Axel Hutt, Maxime Rio, et al.. INRIA's project-team Cortex : Computational Neuroscience. Fourth International Brain-Computer Interface Meeting, May 2010, Monterey, United States. ⟨inria-00549246⟩

Book sections17 documents

  • Frédéric Alexandre. Plusieurs sortes d'IA ?. Sébastien Konieczny; Henri Prade. L’intelligence artificielle: De quoi s’agit-il vraiment ?, Cepadues Editions, 2020, 9782364938502. ⟨hal-02891487⟩
  • Frédéric Alexandre. IA et neurosciences. Sébastien Konieczny; Henri Prade. L’intelligence artificielle: De quoi s’agit-il vraiment ?, 117, Cepadues-Editions, pp.15 - 43, 2020, 9782364938502. ⟨hal-02891480⟩
  • Frédéric Alexandre, Peter Ford Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, et al.. When Artificial Intelligence and Computational Neuroscience meet. Springer. A guided tour of artificial intelligence research, Interfaces and applications of artificial intelligence, 3, 2020, Interfaces and Applications of Artificial Intelligence, 978-3-030-06170-8. ⟨hal-01735123⟩
  • Frédéric Alexandre. Comprendre ou transformer l’humain ? Enjeux et voies potentielles de l’Intelligence Artificielle. Centre Catholique International de Coopération avec l’UNESCO; Académie Catholique de France. Puissances technologiques et éthique de la finitude humaine, Parole et Silence, pp.23, 2019. ⟨hal-02388015⟩
  • Frédéric Alexandre. L'approche systémique : simuler moins pour modéliser plus en neurosciences. Actes du colloque "Modélisation: succès et limites", CNRS et Académie des Technologies, CNRS - Académie des Technologies, pp.12, 2018. ⟨hal-01933185⟩
  • Frédéric Alexandre. A behavioral framework for information representation in the brain. Ahmed A. Moustafa. Computational Models of Brain and Behavior, Wiley, pp.403-412, 2017, 978-1-119-15906-3. ⟨hal-01651751⟩
  • Maria-Jose Escobar, Frédéric Alexandre, Thierry Viéville, Adrian Palacios. Rapid Prototyping for Bio–Inspired Robots. Rapid Roboting: Recent Advances on 3D Printers and Robotics , Springer, pp.300, 2017, Intelligent Systems, Control and Automation: Science and Engineering. ⟨hal-01427958⟩
  • Randa Kassab, Frédéric Alexandre. A Modular Network Architecture Resolving Memory Interference through Inhibition. Merelo, J.J. Computational Intelligence, 669, Springer, pp.407-422, 2016, Studies in Computational Intelligence, ⟨10.1007/978-3-319-48506-5⟩. ⟨hal-01251022⟩
  • Nicolas Denoyelle, Maxime Carrere, Florian Pouget, Thierry Viéville, Frédéric Alexandre. From biological to numerical experiments in systemic neuroscience: a simulation platform. A.R. Londral, P. Encarnação. Advances in Neurotechnology, Electronics and Informatics, 12, Springer, 2015, Biosystems & Biorobotics. ⟨hal-01227968⟩
  • Frédéric Alexandre. Une approche systémique du réseau cérébral. Eric Letonturier. Les Réseaux, CNRS Editions, pp.129-140, 2012, Les essentiels d'Hermès, 978-2-271-07509-3. ⟨hal-00746781⟩
  • Wahiba Taouali, Nicolas Rougier, Frédéric Alexandre. Visual Target Selection Emerges from a Bio-inspired Network Topology. J. Kacprzyk. Studies in Computational Intelligence, Springer Verlag, 2012. ⟨inria-00636517⟩
  • Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre. A distributed model of spatial visual attention. S. Wermter, G. Palm and M. Elshaw. Biomimetic Neural Learning for Intelligent Robotics, 3575 (3575), Springer-Verlag, pp.54-72, 2005, Lecture Notes in Computer Science, 3-540-27440-5. ⟨inria-00000145⟩
  • Olivier Ménard, Hervé Frezza-Buet, Frédéric Alexandre. Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations. Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩. ⟨inria-00000634⟩
  • Frédéric Alexandre, Hervé Frezza-Buet. From Natural to Artificial Intelligence: Numerical processing for cognitive tasks. Paul Bourgine and Jean-Pierre Nadal. Cognitive Economics, Springer, pp.113-130, 2004. ⟨inria-00099961⟩
  • Frédéric Alexandre. Quels modèles neuronaux comme base de l'anticipation ?. R. Sock and B. Vaxelaire. L'Anticipation à l'horizon du Présent, Mardaga, 12 p, 2004, Psychologie et Sciences Humaines. ⟨inria-00099974⟩
  • Frédéric Alexandre. Extraction d'invariants et prise en compte de la variabilité dans les réseaux de neurones artificiels. J. Lautrey. Invariants et variabilité dans les sciences cognitives, Éditions de la Maison des sciences de l'homme, 10 p, 2002, Cognitique. ⟨inria-00147556⟩
  • Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre. Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing. none. Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000. ⟨inria-00107857⟩

Directions of work or proceedings1 document

Other publications5 documents

  • Frédéric Alexandre. De quelles façons l'intelligence artificielle se sert-elle des neurosciences ?. 2019. ⟨hal-02388017⟩
  • Frédéric Alexandre. Marvin Minsky : l'intelligence artificielle débraillée. 2016. ⟨hal-01402261⟩
  • Frédéric Alexandre. Rien de neuf sous le soleil de l’Intelligence Artificielle. 2015. ⟨hal-01237896⟩
  • Frédéric Alexandre. Où sont les vrais dangers de l'intelligence artificielle ?. 2015. ⟨hal-01237897⟩
  • Carlos Carvajal, Thierry Viéville, Frédéric Alexandre. A modeling study of the dynamic interplay between pathways in the thalamocortical visual system: The Magno and Koniocellular streams case. 2013. ⟨hal-00874115⟩

Preprints, Working Papers, ...6 documents

  • Frédéric Alexandre, Jade Becker, Marie-Hélène Comte, Aurelie Lagarrigue, Romain Liblau, et al.. Why, What and How to help each Citizen to Understand Artificial Intelligence?. 2021. ⟨hal-03024034v2⟩
  • Pramod Kaushik, Jérémie Naudé, Surampudi Bapi Raju, Frédéric Alexandre. A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning. 2020. ⟨hal-03066295⟩
  • Bhargav Teja Nallapu, Frédéric Alexandre. Interacting roles of lateral and medial Orbitofrontal cortex in decision-making and learning : A system-level computational model. 2019. ⟨hal-03145202⟩
  • Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Implicit knowledge extraction and structuration from electrical diagrams. 2016. ⟨hal-01525015v2⟩
  • Frédéric Alexandre. A behavioral framework for a systemic view of brain modeling. 2015. ⟨hal-01246653⟩
  • Frédéric Alexandre. Étude de codages catégoriels et métriques de l'information visiospatiale et de leurs conséquences sur les performances des êtres humains et des modèles. 2005. ⟨hal-00003497⟩

Reports9 documents

  • Lisa Roux, Margarida Romero, Frédéric Alexandre, Thierry Viéville, Chloé Mercier. Développement d'une ontologie pour l'analyse d'observables de l'apprenant dans le contexte d'une tâche avec des robots modulaires. [Rapport de recherche] RR-9376, Inria. 2020, pp.48. ⟨hal-03013685v2⟩
  • Frédéric Alexandre, Denis Chiron, Ikram Chraibi Kaadoud, Martine Courbin-Coulaud, Snigdha Dagar, et al.. Neurosmart, une histoire de cerveau et de passionné·e·s de science. [Rapport Technique] RT-0509, Inria. 2020, pp.19. ⟨hal-03013647⟩
  • Thierry Viéville, Xavier Hinaut, Thalita Drumond, Frédéric Alexandre. Recurrent neural network weight estimation through backward tuning. [Research Report] RR-9100, Inria Bordeaux Sud-Ouest. 2017, pp.1-54. ⟨hal-01610735⟩
  • Roman Gorojosky, Frédéric Alexandre. Models of Hippocampus for pavlovian learning. [Research Report] RR-8377, INRIA. 2013, pp.77. ⟨hal-00870700⟩
  • Frédéric Alexandre. Comprendre les réseaux cérébraux. [Rapport de recherche] RR-8219, INRIA. 2013, pp.21. ⟨hal-00783331⟩
  • Elaa Teftef, Maria-Jose Escobar, Aland Astudillo, Carlos Carvajal, Bruno Cessac, et al.. Modeling non-standard retinal in/out function using computer vision variational methods. [Research Report] RR-8217, INRIA. 2013, pp.28. ⟨hal-00783091v2⟩
  • Frédéric Alexandre, Jérémy Fix, Nicolas P. Rougier, Thierry Viéville. Algorithmic adjustment of neural field parameters. [Research Report] RR-6923, INRIA. 2009, pp.26. ⟨inria-00382533⟩
  • Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. Mécanisme connexionniste pour l'anticipation visuelle. [Interne] 2005. ⟨inria-00000245⟩
  • Khaled Ben Khalifa, Mohamed Hédi Bédoui, Laurent Bougrain, Radoslav Raychev, Mohamed Dogui, et al.. Analyse et classification des états de vigilance par réseaux de neurones. [Rapport de recherche] RR-4714, INRIA. 2003, pp.28. ⟨inria-00071872⟩

Videos1 document

  • Arnaud Langlois, Frédéric Alexandre. Au plus près du cerveau - Mnemosyne. 2020. ⟨hal-03145162⟩