Frédéric Alexandre
Présentation
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.
Publications
Publications
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Semantic and episodic memories in a predictive coding model of the neocortexIJCNN 2025 - International Joint Conference on Neural Networks, Jun 2025, Rome, Italy |
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Large Language Models need Episodic MemoryIJCNN 2025 - International Joint Conference on Neural Networks, Jun 2025, Rome, Italy |
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Towards metacognitive agents: integrating confidence in sequential decision-makingESANN 2025 - 33th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2025, Bruges, Belgium |
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Modelling Cross-Situational Learning on Full Sentences in Few Shots with Simple RNNsCogSci 2024 - 46th Annual Meeting of the Cognitive Science Society, Jul 2024, Rotterdam, Netherlands |
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Relating Hopfield Networks to Episodic ControlNeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada |
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Prediction of reaching movements with target information towards trans-humeral prosthesis control using Reservoir Computing and LSTMsICANN 2024 - 33rd International Conference on Artificial Neural Networks and Machine Learning, Sep 2024, Lugano, Switzerland. pp.142--155, ⟨10.1007/978-3-031-72359-9_11⟩ |
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Contextual Control of Hopfield Networks in a Hippocampal ModelCOGSCI 2024 - 46th Annual Conference of the Cognitive Science Society, Jul 2024, Rotterdam, Netherlands |
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MEG Encoding using Word Context Semantics in Listening StoriesINTERSPEECH 2023 - 24th INTERSPEECH Conference, INTERSPEECH, Aug 2023, Dublin, Ireland |
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From concrete to abstract rules : A computational sketchBI 22 - The 15th International Conference on Brain Informatics, Jul 2022, Padova, Italy |
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Multi-task learning with modular reinforcement learningSAB 2022 - 16th International Conference on the Simulation of Adaptive Behavior, Sep 2022, Cergy-Pontoise / Virtual, France |
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The Opportunistic PFC: Downstream Modulation of a Hippocampus-inspired Network is Optimal for Contextual Memory Recall36th Conference on Neural Information Processing System, Dec 2022, New Orleans, United States |
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Contrôle Biomimétique de Prothèse par réseaux de neuronesAMINA 2022 - 11ème édition du Workshop Applications Médicales de l'Informatique : Nouvelles Approches, Nov 2022, Monastir, Tunisie |
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Ontology as manifold: towards symbolic and numerical artificial embeddingWorkshop on VSA and hyperdimensional computing - Winter 2022 session, Luleå University of Technology, Sweden and UC Berkeley, USA, Jan 2022, Virtual, Sweden |
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Long Short-Term Memory of Language Models for Predicting Brain Activation During Listening to StoriesCogSci 2022 - Cognitive Science Society, Jul 2022, Toronto, Canada |
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Developmental Modular Reinforcement LearningESANN2022 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2022, Bruges / Virtual, Belgium |
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Formalizing Problem Solving in Computational Thinking : an Ontology approachIEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China |
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embeddingKRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam |
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Deciphering the contributions of episodic and working memories in increasingly complex decision tasksIJCNN 2021 - International Joint Conference on Neural Networks, Jul 2021, Shenzhen, China. pp.1-6, ⟨10.1109/IJCNN52387.2021.9534315⟩ |
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Reinforcement Symbolic LearningICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava / Virtual, Slovakia |
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Augmenting Machine Learning with Flexible Episodic Memory13th International Joint Conference on Computational Intelligence, Oct 2021, Valletta, Malta |
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Towards a Computational Cognitive Neuroscience Model of CreativityIEEE ICCI*CC'21 - 20th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Oct 2021, Banff, Canada |
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A Structure of Restricted Boltzmann Machine for Modeling System DynamicsIJCNN 2020 - International Joint Conference on Neural Networks, IEEE, Jul 2020, Glasgow, United Kingdom. pp.8 |
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Creativity explained by Computational Cognitive NeuroscienceICCC'20 - International Conference on Computational Creativity, Sep 2020, Coimbra, Portugal |
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Understanding Intelligently Artificial Intelligence : a citizens' open formationInternational Workshop on Education in Artificial Intelligence K-12 (EduAI), Jul 2020, Ifrane, Morocco |
A computational model to study the dynamics of representations of rewards in the orbital and medial frontal cortexNormal and pathological reward processing: From synapse to behavior, 6th Bordeaux Neurocampus Conference, Oct 2019, Bordeaux, France |
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Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial AgentsIJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain |
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Different learning architectures contribute to value prediction in human cognitionAIC 2018 : 6th International Workshop on Artificial Intelligence and Cognition, Jul 2018, Palermo, Italy |
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A survival task for the design and the assessment of an autonomous agent7th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2018, Jul 2018, Paris, France |
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A biologically inspired neuronal model of reward prediction error computationIJCNN 2017 - International Joint Conference on Neural Networks, May 2017, Anchorage, United States. pp.8 |
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Implicit knowledge extraction and structuration from electrical diagramsThe 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France |
What Computational Neuroscience can offer Machine Learning : Autonomous LearningWorkshop on Computational Neuroscience: challenges for the 2030, Jan 2017, Valparaiso, Chile |
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Using prototypes to improve convolutional networks interpretabilityNIPS 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 |
Modeling the ventral hippocampus and its role in the limbic systemJournée Scientifique du GDR Neurosciences de la Mémoire, May 2017, Bordeaux, France |
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Modeling Neuromodulation as a Framework to Integrate Uncertainty in General Cognitive ArchitecturesThe Ninth Conference on Artificial General Intelligence, Jul 2016, New-York, United States. ⟨10.1007/978-3-319-41649-6_33⟩ |
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A System-Level Model of Noradrenergic Function25th International Conference on Artificial Neural Networks (ICANN), Sep 2016, Barcelona, Spain. pp.214 - 221, ⟨10.1007/978-3-319-44778-0_25⟩ |
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Beyond Machine Learning: Autonomous Learning8th International Conference on Neural Computation Theory and Applications (NCTA), Nov 2016, Porto, Portugal. pp.97 - 101, ⟨10.5220/0006090300970101⟩ |
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Modeling the sensory roles of noradrenaline in action selectionThe Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (IEEE ICDL-EPIROB), Sep 2016, Cergy-Pontoise / Paris, France |
Modeling non-standard pathways in early vision : role of the thalamus12th meeting of the french society of Neuroscience, May 2015, Montpellier, France |
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A Heteroassociative Learning Model Robust to InterferenceInternational Joint Conference on Computational Intelligence, Nov 2015, Lisboa, Portugal |
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Modeling pavlovian conditioning with multiple neuronal populationsIEEE International Joint Conference on Neural Networks, Jul 2015, Killarney, Ireland. ⟨10.1109/IJCNN.2015.7280716⟩ |
Intégrer le rôle des émotions dans la modélisation cognitive: apport des neurosciencesJournée pour la Modélisation de l'Irrationnel dans la Cognition (JMIC), Jan 2015, Talence, France |
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A model of amygdalar modulations and interactions in pavlovian conditioningNeural Computation and Psychology Workshop, Aug 2014, Lancaster, United Kingdom |
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A computational model of the amygdala revisits pavlovian learningSino-French International Workshop on Computational Neuroscience, Jun 2014, Shanghai, China |
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Feature, Configuration, History : a bio-inspired framework for information representation in neural networksInternational Conference on Neural Computation Theory and Applications, Oct 2014, Rome, Italy |
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VirtualEnaction: A Platform for Systemic Neuroscience Simulation.International Congress on Neurotechnology, Electronics and Informatics, Oct 2014, Rome, Italy |
To flee or not to flee? Neural Field dynamics shape information flows in a model of the thalamocortical visual systemBC - Bernstein Conference - 2013, Sep 2013, Tübingen, Germany. ⟨10.12751/nncn.bc2013.0002⟩ |
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When early vision in the retina attempts to take decisions about visual motion events : the role of konio cellsThird International Symposium on Biology of Decision Making, Université Pierre et Marie Curie (Paris 6), May 2013, Paris, France |
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Which reinforcing signals in autonomous systems?Third International Symposium on Biology of Decision Making, May 2013, Paris, France |
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Émergence de catégories par interaction entre systèmes d'apprentissageConférence Francophone sur l'Apprentissage Automatique (CAP), Jul 2013, Lille, France |
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Impact of the Konio pathway in the thalamocortical visual system: a modeling studyCNS - 22nd Annual Computational Neuroscience Meeting - 2013, Jul 2013, Paris, France. ⟨10.1186/1471-2202-14-S1-P6⟩ |
A basic model of saccades encodingThe NeuroComp/KEOpS'12 workshop, Oct 2012, Bordeaux, France |
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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 |
Modeling thalamocortical loopsFrench-Chinese workshop in Computational Neuroscience, Dec 2012, Paris, France |
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Reinforcement Learning and Dimensionality Reduction: a model in Computational NeuroscienceInternational Joint Conference on Neural Networks IJCNN 2011, Jul 2011, San Jose, CA, United States |
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Apprentissage par Renforcement et Réduction de la dimensionnalité : une Approche Bio-inspiréeConférence francophone d'Apprentissage - CAP 2011, May 2011, Chambéry, France |
Cooperation between reinforcement and procedural learning in the basal gangliaInternational Joint Conference on Neural Networks IJCNN 2011 Special Topic Neuroscience and Neurocognition, Jul 2011, San Jose, CA, United States |
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Saccades generation : from the visual input to the superior colliculusInternational Conference on Neural Computation ICNC 2010, Oct 2010, Valence, Spain |
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Ressource fourragère en Afrique soudano-sahélienne : estimation, cartographie, et suivi par analyse de séries temporelles de NDVI NOAALES SATELLITES GRAND CHAMP pour le suivi de l'environnement, des ressources naturelles et des risques, Clermont-Ferrand : France (2010), Jan 2010, Clermont-Ferrand, France |
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On asynchronous dynamic neural field computationCinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France |
Usefulness of emotions in robotsInternational Society for Research on Emotion Conference, Aug 2009, Leuven, Belgium |
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Asynchronous Evaluation as an Efficient and Natural Way to Compute Neural Networks7th International Conference of Numerical Analysis and Applied Mathematics - ICNAAM 2009, Sep 2009, Rethymno, Greece |
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Effects of a Modulatory Feedback upon the BCM learning ruleComputational Neuroscience, Jul 2009, Berlin, Germany |
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On practical neural field parameters adjustmentDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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 |
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A computational approach to the covert and overt deployment of spatial attentionDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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Behavior learning using emotional conditioningIROS Workshop "From motor to interaction learning in robots", Olivier Sigaud and Jan Peters and Sethu Vijayakumar, Sep 2008, Nice, France |
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Mécanisme d'auto-organisation corticale : un modèle basé sur la règle de plasticité synaptique BCMDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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Reconnaissance automatique des grapho-éléments temporels de l'électroencéphalogramme du sommeil5ème édition des Ateliers Traitement et Analyse de l'Information : Méthodes et Applications - TAIMA 2007, May 2007, Hammamet, Tunisie |
Coordination, attention, communicationICANN Workshop "What it means to communicate", Sep 2007, Porto, Portugal. 10 p |
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A Top-down attentional system scanning multiple targets with saccadesFrom Computational Cognitive Neuroscience to Computer Vision : CCNCV 2007, Mar 2007, Bielefeld, Germany |
Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech RecognitionTwentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India |
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Toward a robust 2D spatio-temporal self-organization15th European Symposium on Artificial Neural Networks - ESANN'2007, Apr 2007, Bruges, Belgium |
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Supervised neuronal approaches for EEG signal classification: experimental studiesThe 10th IASTED International Conference on Artificial Intelligence and Soft Computing - ASC 2006, IASTED, Aug 2006, Palma de Mallorca/Spain |
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A regularization process to implement self-organizing neuronal networksInternational Conference on Engineering and Mathematics - ENMA 2006, Jul 2006, Bilbao/Spain |
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Classification Automatique des Stades du Sommeil par Réseaux de Neurones ArtificielsTroisième Workshop "Applications Médicales de l'Informatique : Nouvelles Approches" - AMINA'2006, Nov 2006, Monastir/Tunisie |
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Comparison between two spatio-temporal organization maps for speech recognitionSecond 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⟩ |
Neural Network Topology Optimization15th International conference on Artificial Neural Networks - ICANN 2005, Sep 2005, Warsaw/Poland, pp.53--58, ⟨10.1007/11550907⟩ |
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Anticipation and selective attention7eme colloque de la Société des Neurosciences, May 2005, Lille/France |
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Les spiking neurons : une leçon de la biologie pour le codage et le traitement des donnéesTraitement et Analyse de l'Information Méthodes et Applications - TAIMA'05, Sep 2005, Hammamet/Tunisie |
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Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks5th WSEAS International Conference on SIGNAL, SPEECH and IMAGE PROCESSING - WSEAS SSIP'05, Aug 2005, Corfu Island/Greece |
Self-organizing Map Initialization15th International conference on Artificial Neural Networks - ICANN 2005, Sep 2005, Warsaw/Poland, pp.357--362, ⟨10.1007/11550822_56⟩ |
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Artificial Neural Networks to extract Knowledge from EEGThe IASTED International Conference on Biomedical Engineering - BioMED2005, Feb 2005, Innsbruck/Austria |
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A computational neuronal model for hemispheric specializationInternational Conference on Mathematical Biology and Ecology - MABE'04, 2004, Corfu, Greece, 7 p |
Parallel FPGA implementation of self-organizing mapsInternational Conference on Microelectronics - ICM'04, 2004, Tunis, Tunisia, 4 p |
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Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robotNeurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p |
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Reducing connectivity by using cortical modular bandsEuropean Symposium on Artificial Neural Networks, 2004, Bruges, Belgium |
Implantation basse-consommation de cartes auto-organisatrices pour la détection de l'hypovigilance14e congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle - RFIA'04, 2004, Toulouse, France, 10 p |
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Un réseau de neurones pour des associations multimodales14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle - RFIA'2004, 2004, Toulouse, France, 10 p |
A connectionist approach for visual perception of motionBrain 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 |
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Classification and Predictive maps on ore deposits : A Case Study in GIS Andes32nd International Geological Congress, 2004, Florence, Italy, 1 p |
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Optimal Brain Surgeon Variants for Optimization16h European Conference on Artificial Intelligence - ECAI'04, 2004, Valencia, Spain, 2 p |
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Optimal Brain Surgeon Variants for Feature SelectionInternational Joint Conference on Neural Networks - IJCNN'04, 2004, Budapest, Hungary, 4 p |
Unsupervised extraction of temporal evolution patterns on an electric arc furnace process11th 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 |
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Database Classification by Hybrid Method combining Supervised and Unsupervised LearningsInternational Conference on Artificial Neural Networks - ICANN'2003, Jun 2003, Istambul, Turkey, pp.37-40 |
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Séparation des niveaux de vigilance, à partir d'un signal EEG par les cartes auto-organisatrices de KohonenTraitement et Analyse de l'Information: Méthodes et Applications - TAIMA'03, R. Deriche, F. Ghorbel, Oct 2003, Hammamet, Tunisie, France. 6 p |
Approche connexionniste de la perception du mouvementManifestation des Jeunes Chercheurs des Sciences et Technologies de l'Information et de la Communication - MajecSTIC'2003, Oct 2003, Marseille, France, 6 p |
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Different Levels of Time for Artificial Models and Biological Mechanisms7th International Conference on Simulation of Adaptive Behavior - SAB'02, Aug 2002, Edinburgh UK, 1 p |
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Implantation d'une carte associative pour l'orientation d'un robot autonome à l'aide d'une image vidéoTraitement et Analyse d'Images Méthodes et Applications - TAIMA'01, Jun 2001, Hammamet, Tunisie, 6 p |
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Neural Networks in Dynamic Process Analysis16th 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 |
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Approche modulaire et architecture dédiée pour l'implantation de réseaux neuromimétiques complexesColloque Interdisciplinaire en Sciences Cognitives - ARCo'2001, 2001, Lyon, France |
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A cerebral framework for integrating biologically plausible mechanisms in large connectionist modelsInternational Conference on Systems in Biology, 2001, Pasadena, USA, United States. 1 p |
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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 |
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Inspiration from Neurosciences to emulate Cognitive Tasks at different Levels of TimeArtificial Intelligence & the Simulation of Behaviour - AISB'2000, 2000, Birmingham, UK |
Modélisation stochastique d'une population de neurones, méta-apprentissage dans un problème de classificationNeurosciences et sciences de l'ingénieur, 2000, Dinard, France, 4 p |
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A Model of Hippocampal-Cortical Interaction Using a Synaptic Triad MechanismThe Nature of Hippocampal-Cortical Interaction: Theoretical and Experimental Perspectives, 2000, Dublin, Irlande |
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Représentation de l'information visuo-spatiale dans les réseaux neuromimétiques10ème Journées Neurosciences et Sciences de l'Ingénieur, Gilles Vaucher, 2000, Dinard, France, 4 p |
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Quelques lois d'adaptation pour neurones artificiels et réelsJournée sur l'adaptation, 2000, Champenoux, France, 6 p |
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Biological Inspiration for Multiple Memories Implementation and CooperationInternational Conference on Computational Intelligence, 2000, Kosice, Slovak Republic, 4 p |
Une bibliothèque de développement parallèle de réseaux neuromimétiquesJournées Scientifiques du Centre Charles Hermite, Centre Charles Hermite, 2000, Nancy, France, 1 p |
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Vers une représentation interne stable d'informations multimodales : approche connexionnisteColloque invariants et variabilité dans les sciences cognitives, 2000, Paris, France, 1 p |
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Unsupervised Connectionist Clustering Algorithms for a better Supervised Prediction : Application to a radio communication problemInternational Joint Conference on Neural Networks, International Neural Networks Society, 1999, Washington, USA, 6 p |
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Neuronal mechanisms for sequence learning in behavioral modelingSixteenth International Joint Conference on Artificial Intelligence, Workshop : Neural, Symbolic, and Reinforcement Methods for Sequence Learning, 1999, Stockholm, Sweden, 6 p |
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Specialization within cortical models : An application to causality learning7th European Symposium on Artificial Neural Networks - ESANN'99, Apr 1999, Bruges, Belgium, 6 p |
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Neurosymbolic Integration for Industrial ApplicationsHuman Centered Processes - HCP'99, 10th mini-Euro conference, 1999, Brest, France, pp.469-474 |
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Spatial Knowledge Transfer Between Models of Hippocampus and Associative CortexInternational Joint Conference on Neural Networtks, 1999, Washington, D. C., 5 p |
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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 |
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Recurrent Neural Networks for mobile phone cell planning using topological informationFifth International Conference on Engineering Applications of Neural Networks - EANN'99, 1999, Warsaw, Poland, pp.195-199 |
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Modeling prefrontal functions for robot navigationInternational Joint Conference on Artificial Neural Networks, 1999, none, 6 p |
A library to implement neural networks on MIMD machinesEuro-Par'99 Parallel Processing, CERFACS & ENSEEIHT - IRIT., 1999, Toulouse, France, pp.935-938 |
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A Fuzzy-Logic and Multi-Layer Perceptron Hybrid Model Applied to a Real World Steel-Making ProblemInternational Conference on Neural Networks and their Applications, 1998, Marseille, France, pp.399-402 |
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Rôle du contexte dans le modèle OWE : Un réseau de neurones artificiels utilisant des connexions axo-synaptiquesNSI, Neurosciences et Sciences de l'Ingénieur, 1998, Munster, 4 p |
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Selection of action with a cortically-inspired modelSeventh European Workshop on Learning Robots, 1998, Edimbourgh, pp.13-21 |
Preoperative fMRI exploration of the dominant inferior parietal lobuleSymposium Neuroradiologicum XVI, 1998, Philadelphia, USA, pp.182 |
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Aide à la parallélisation des réseaux connexionnistesNeurosciences et Sciences pour l'Ingénieur, 1998, Munster, 4 p |
fMRI of the dominant inferior parietal lobule4th International Conference on Functional Mapping of the Human Brain, 1998, Montreal, Canada, pp.452 |
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A model of cortical activation for robot navigationInternational Conference on cognitive and neural systems, 1998, Boston, USA, 3 p |
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Unsupervised Algorithms for Vector Quantization: Evaluation on an environmental data setNEURAP, Fourth International Conference on Neural Networks and their Applications, 1998, Marseille, France, pp.347-350 |
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Multimodal Sequence Learning with a Cortically-Inspired Model3nd International Conference on Computational Intelligence & Neuroscience - JCIS'98 - Association for Intelligent Machinery, 1998, none, pp.24-27 |
Tools & Methodology for Hybrid Neuro-Symbolic ModelsIMACS Int. Conf. on Computational Engineering in Systems Applications - CESA'98, P. Borne, M. Ksouri, A. El Kamel, 1998, Nabeul (Tunisie) |
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Advantage Race Diffusion mechanism to study the dissociated roles of Orbitofrontal Cortex subregions in instrumental learningThe 5th quadrennial meeting on orbitofrontal cortex function (OFC 2024), Apr 2024, Paris, France. |
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MEG Encoding using Neural Language & Speech Models and Shared Context Semantics in Listening StoriesSNL 2023 - Society for the Neurobiology of Language, Oct 2023, Marseille, France. |
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Towards computational learning science: modeling creative problem solving in child-robot interaction through behavioral learning analyticsISLS 2023 - Annual Meeting of the International Society of the Learning Sciences, Jun 2023, Montréal, Canada |
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Past Word Context Enables Better MEG Encoding Predictions than Current Word in Listening StoriesNeuroFrance 2023, May 2023, Lyon, France. |
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Modelling prefrontal-hippocampal interactions for contextual controlled learning using artificial neural networksFENS Forum 2022, Jul 2022, Paris, France |
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The role of cognitive processes in creative problem solving: a computational approach7th annual meeting of the Society for the Neuroscience of Creativity (SfNC 2022), May 2022, Virtual, United States |
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Apprentissage par renforcement sur des connaissances symboliques structurées : modéliser la résolution créative de problèmesCJC-SCo 2022 - Colloque des jeunes chercheur·se·s en sciences cognitives, Apr 2022, Paris, France. |
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How distinct are Syntactic and Semantic Representations in the Brain During Sentence Comprehension?SNL 2022 - 14th Annual Meeting of the Society for Neurobiology of Language, Oct 2022, Philadelphia, United States. 2022 |
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Investigating Long-Term Context of Language Models on Brain Activity during Narrative Listening in fMRIFENS Forum 2022, Jul 2022, Paris, France |
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Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot GroundingSpatial Language Understanding and Grounded Communication for Robotics Workshop, ACL-IJCNLP 2021, Aug 2021, Bangkok, Thailand. |
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Modèle neuronal unifié du traitement conscient et inconscientColloque des Jeunes Chercheur.se.s en Sciences Cognitives 2021, Mar 2021, Online, France |
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From computational neuroscience to computational learning science: modeling the brain of the learner and the context of the learning activitySophIA-summit 2020, Nov 2020, Sophia-Antipolis / Virtual, France. 2020 |
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A neuro-computational model showing the effects of ventral striatum lesion on the computation of reward prediction error in VTANeuroFrance, the international conference of the french society of Neuroscience, May 2019, Marseille, France. 2019 |
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A system-level computational model of decision-making and learning in the lateral and medial sub-regions of Orbitofrontal CortexOFC 2019 : Fourth Quadrennial Meeting on OFC Function, Nov 2019, Paris, France |
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The relational and informational organisation in the orbital and medial prefrontal cortex A study using virtual experimentationNeuroFrance, the international conference of the french society of Neuroscience, May 2019, Marseille, France. 2019 |
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Modeling executive functions in the prefrontal cortexXI Dubrovnik Conference on Cognitive Science, May 2019, Dubrovnik, Croatia |
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Modeling Implicit Learning : Extracting Implicit Rules from Sequences using LSTMWiML 2019 - 14th Women in Machine Learning Workshop at NeurIPS 2019, Dec 2019, Vancouver, Canada |
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Interaction between the limbic and sensori-motor cortico-basal loops : a systemic framework to explain animal behaviourSBDM 2018 - Eighth International Symposium on Biology of Decision Making, May 2018, Paris, France |
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Modélisation bio-inspirée dans le numérique et la santéFête de la Science 2015 - INRIA Bordeaux Sud-Ouest, Oct 2015, Bordeaux, France. |
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Using the Amygdala in decision makingFifth International Symposium on Biology of Decision Making (SBDM), May 2015, Paris, France |
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Impact of the Konio pathway in the thalamocortical visual system: a modeling studyTwenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P6, 2013 |
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INRIA's project-team Cortex : Computational NeuroscienceFourth International Brain-Computer Interface Meeting, May 2010, Monterey, United States |
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Enseigner et apprendre à l'ère de l'intelligence artificielleCanopé, Livre blanc, 2023 |
Continu et discontinu dans l'espace géographiquePresses universitaires François-Rabelais, pp.440, 2008, 9782869062351 |
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Learning Artificial Intelligence Through Open Educational ResourcesAlex Urmeneta; Margarida Romero. Creative Applications of Artificial Intelligence in Education., pp.35 - 43, 2024, 978-3-031-55272-4. ⟨10.1007/978-3-031-55272-4_3⟩ |
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Un MOOC pour initier a l'IA : « Intelligence Artificielle avec Intelligence »Canopé. Enseigner et apprendre à l’ère de l’intelligence artificielle, pp.96, 2023 |
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L'IA pour mieux apprendre et apprehender L'IAEnseigner et apprendre à l'ère de l'intelligence artificielle, pp.96, 2023 |
Bio-inspired RoboticsIntelligent Systems, Control and Automation: Science and Engineering, 82, Springer Verlag, 2022, Rapid Roboting, 978-3-319-40003-7 |
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Délibérer avec l'intelligence artificielle au service de l'intelligence naturelle.Penser calculer délibérer., Mare & Martin, pp.19, 2022 |
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Plusieurs sortes d'IA ?Sébastien Konieczny; Henri Prade. L’intelligence artificielle: De quoi s’agit-il vraiment ?, Cepadues Editions, 2020, 9782364938502 |
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IA et neurosciencesSébastien Konieczny; Henri Prade. L’intelligence artificielle: De quoi s’agit-il vraiment ?, 117, Cepadues-Editions, pp.15 - 43, 2020, 9782364938502 |
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When Artificial Intelligence and Computational Neuroscience meetSpringer. 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 |
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Comprendre ou transformer l’humain ? Enjeux et voies potentielles de l’Intelligence ArtificielleCentre 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 |
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L'approche systémique : simuler moins pour modéliser plus en neurosciencesActes du colloque "Modélisation: succès et limites", CNRS et Académie des Technologies, CNRS - Académie des Technologies, pp.12, 2018 |
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A behavioral framework for information representation in the brainAhmed A. Moustafa. Computational Models of Brain and Behavior, Wiley, pp.403-412, 2017, 978-1-119-15906-3 |
Rapid Prototyping for Bio–Inspired RobotsRapid Roboting: Recent Advances on 3D Printers and Robotics , Springer, pp.300, 2017, Intelligent Systems, Control and Automation: Science and Engineering |
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A Modular Network Architecture Resolving Memory Interference through InhibitionMerelo, J.J. Computational Intelligence, 669, Springer, pp.407-422, 2016, Studies in Computational Intelligence, ⟨10.1007/978-3-319-48506-5⟩ |
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From biological to numerical experiments in systemic neuroscience: a simulation platformA.R. Londral, P. Encarnação. Advances in Neurotechnology, Electronics and Informatics, 12, Springer, 2015, Biosystems & Biorobotics |
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Une approche systémique du réseau cérébralEric Letonturier. Les Réseaux, CNRS Editions, pp.129-140, 2012, Les essentiels d'Hermès, 978-2-271-07509-3 |
Visual Target Selection Emerges from a Bio-inspired Network TopologyJ. Kacprzyk. Studies in Computational Intelligence, Springer Verlag, 2012 |
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A distributed model of spatial visual attentionS. 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 |
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Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic RepresentationsStefan 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⟩ |
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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 |
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From Natural to Artificial Intelligence: Numerical processing for cognitive tasksPaul Bourgine and Jean-Pierre Nadal. Cognitive Economics, Springer, pp.113-130, 2004 |
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Extraction d'invariants et prise en compte de la variabilité dans les réseaux de neurones artificielsJ. Lautrey. Invariants et variabilité dans les sciences cognitives, Éditions de la Maison des sciences de l'homme, 10 p, 2002, Cognitique |
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Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processingnone. Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000 |
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Cross-Situational Learning Towards Robot Grounding2022 |
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Interacting roles of lateral and medial Orbitofrontal cortex in decision-making and learning : A system-level computational model2019 |
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Implicit knowledge extraction and structuration from electrical diagrams2016 |
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A behavioral framework for a systemic view of brain modeling2015 |
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Étude de codages catégoriels et métriques de l'information visiospatiale et de leurs conséquences sur les performances des êtres humains et des modèles2005 |
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Une modélisation fonctionnelle du cortex : La colonne corticale : aspects visuels et moteursInformatique [cs]. Université Henri Poincaré - Nancy 1, 1990. Français. ⟨NNT : 1990NAN10054⟩ |