Frédéric Alexandre

ORCID

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 33

Top Venues

Henri Poincaré University, Nancy, France (PHD)

Education History

Henri Poincaré University, Nancy, France

PHD

Publications

Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut
MEG Encoding using Word Context Semantics in Listening Stories. INTERSPEECH (2023)
Margarida Romero, Laurent Heiser, Alexandre Lepage, Alexandre Lepage, Anne Gagnebien, Audrey Bonjour, Aurélie Lagarrigue, Axel Palaude, Caroline Boulord, Charles-Antoine Gagneur, Chloé Mercier, Christelle Caucheteux, Dominique Guidoni-Stoltz, Florence Tressols, Frédéric Alexandre, Jean-François Céci, Jean-François Metral, Jérémy Camponovo, Julie Henry, Laurent Fouché, Laurent Heiser, Lianne-Blue Hodgkins, Margarida Romero, Marie-Hélène Comte, Michel Durampart, Patricia Corieri, Paul Olry, Pauline Reboul, Philippe Bonfils, Sami Ben Amor, Simon Collin, Solange Ciavaldini-Cartaut, Thierry Viéville, Victoire Batifol, Yann-Aël Le Borgne
Teaching and learning in the age of artificial intelligence. CoRR (2023)
Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR (2023)
Jianyong Xue, Frédéric Alexandre
Developmental Modular Reinforcement Learning. ESANN (2022)
Naomi Chaix-Eichel, Snigdha Dagar, Quentin Lanneau, Karen Sobriel, Thomas Boraud, Frédéric Alexandre, Nicolas P. Rougier
From implicit learning to explicit representations. CoRR (2022)
Jianyong Xue, Frédéric Alexandre
Multi-task Learning with Modular Reinforcement Learning. SAB (2022)
Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier
From Concrete to Abstract Rules: A Computational Sketch. BI (2022)
Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. Knowl. Based Syst. 235 (2022)
Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut
Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. CogSci (2022)
Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier
Deciphering the contributions of episodic and working memories in increasingly complex decision tasks. IJCNN (2021)
Frédéric Alexandre
A global framework for a systemic view of brain modeling. Brain Informatics 8 (1) (2021)
Chloé Mercier, Frédéric Alexandre, Thierry Viéville
Reinforcement Symbolic Learning. ICANN (4) (2021)
Hugo Chateau-Laurent, Frédéric Alexandre
Augmenting Machine Learning with Flexible Episodic Memory. IJCCI (2021)
Frédéric Alexandre, Xavier Hinaut, Nicolas P. Rougier, Thierry Viéville
Higher Cognitive Functions in Bio-Inspired Artificial Intelligence. ERCIM News 2021 (125) (2021)
Chloé Mercier, Lisa Roux, Margarida Romero, Frédéric Alexandre, Thierry Viéville
Formalizing Problem Solving in Computational Thinking : an Ontology approach. ICDL (2021)
Frédéric Alexandre, Jade Becker, Marie-Hélène Comte, Aurélie Lagarrigue, Romain Liblau, Margarida Romero, Thierry Viéville
Why, What and How to Help Each Citizen to Understand Artificial Intelligence? Künstliche Intell. 35 (2) (2021)
Hugo Chateau-Laurent, Frédéric Alexandre
Towards a Computational Cognitive Neuroscience Model of Creativity. ICCI*CC (2021)
Guillaume Padiolleau, Olivier Bach, Alain Hugget, Denis Penninckx, Frédéric Alexandre
A Structure of Restricted Boltzmann Machine for Modeling System Dynamics. IJCNN (2020)
Frédéric Alexandre
Creativity explained by Computational Cognitive Neuroscience. ICCC (2020)
Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. CoRR (2019)
Bhargav Teja Nallapu, Frédéric Alexandre
A Survival Task for the Design and the Assessment of an Autonomous Agent. Living Machines (2018)
Frédéric Alexandre
Different Learning Architectures Contribute to Value Prediction in Human Cognition. AIC (2018)
Thalita F. Drumond, Thierry Viéville, Frédéric Alexandre
Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes. Frontiers Comput. Neurosci. 12 (2018)
Bhargav Teja Nallapu, Frédéric Alexandre
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents. IJCCI (2018)
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 3 (2017)
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
Sustainable computational science: the ReScience initiative. CoRR (2017)
Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre
Implicit Knowledge Extraction and Structuration from Electrical Diagrams. IEA/AIE (1) (2017)
Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju
A biologically inspired neuronal model of reward prediction error computation. IJCNN (2017)
Maxime Carrere, Frédéric Alexandre
Modeling the sensory roles of noradrenaline in action selection. ICDL-EPIROB (2016)
Frédéric Alexandre
Autonomous Machine Learning. ERCIM News 2016 (107) (2016)
Frédéric Alexandre, Maxime Carrere
Modeling Neuromodulation as a Framework to Integrate Uncertainty in General Cognitive Architectures. AGI (2016)
Maxime Carrere, Frédéric Alexandre
A System-Level Model of Noradrenergic Function. ICANN (1) (2016)
Frédéric Alexandre
Beyond Machine Learning: Autonomous Learning. IJCCI (NCTA) (2016)
Randa Kassab, Frédéric Alexandre
A Modular Network Architecture Resolving Memory Interference Through Inhibition. IJCCI (Selected Papers) (2015)
Wahiba Taouali, Laurent Goffart, Frédéric Alexandre, Nicolas P. Rougier
A parsimonious computational model of visual target position encoding in the superior colliculus. Biol. Cybern. 109 (4-5) (2015)
Randa Kassab, Frédéric Alexandre
A Heteroassociative Learning Model Robust to Interference. IJCCI (NCTA) (2015)
Maxime Carrere, Frédéric Alexandre
Modeling pavlovian conditioning with multiple neuronal populations. IJCNN (2015)
Frédéric Alexandre, Maxime Carrere, Randa Kassab
Feature, Configuration, History - A Bio-inspired Framework for Information Representation in Neural Networks. IJCCI (NCTA) (2014)
Nicolas Denoyelle, Florian Pouget, Thierry Viéville, Frédéric Alexandre
VirtualEnaction - A Platform for Systemic Neuroscience Simulation. NEUROTECHNIX (2014)
Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre
A Dynamic Neural Field Approach to the Covert and Overt Deployment of Spatial Attention. Cogn. Comput. 3 (1) (2011)
Lucian Alecu, Hervé Frezza-Buet, Frédéric Alexandre
Can self-organisation emerge through dynamic neural fields computation? Connect. Sci. 23 (1) (2011)
Nishal Shah, Frédéric Alexandre
Reinforcement learning and dimensionality reduction: A model in computational neuroscience. IJCNN (2011)
Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre
Visual Target Selection Emerges from a Bio-inspired Network Topology. IJCCI (Selected Papers) (2010)
Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre
Saccades Generation - From the Visual Input to the Superior Colliculus. IJCCI (ICFC-ICNC) (2010)
Randa Kassab, Frédéric Alexandre
Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data. Mach. Learn. 74 (2) (2009)
Juan-Manuel Torres-Moreno, Laurent Bougrain, Frédéric Alexandre
Combining Supervised and Unsupervised Learning for GIS Classification CoRR (2009)
Frédéric Alexandre
Cortical basis of communication: Local computation, coordination, attention. Neural Networks 22 (2) (2009)
Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre
A computational approach to the covert and overt deployment of spatial attention CoRR (2008)
Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing 71 (1-3) (2007)
Thomas Girod, Laurent Bougrain, Frédéric Alexandre
Toward a robust 2D spatio-temporal self-organization. ESANN (2007)
Frédéric Alexandre, Nizar Kerkeni, Khaled Ben Khalifa, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui
Supervised neuronal approaches for EEG signal classification: Experimental studies. Artificial Intelligence and Soft Computing (2006)
Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. ANNPR (2006)
Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre
A Distributed Model of Spatial Visual Attention. Biomimetic Neural Learning for Intelligent Robots (2005)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Neural Network Topology Optimization. ICANN (2) (2005)
Nizar Kerkeni, Frédéric Alexandre, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages CoRR (2005)
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. Biol. Cybern. 92 (5) (2005)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Self-organizing Map Initialization. ICANN (1) (2005)
Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations. Biomimetic Neural Learning for Intelligent Robots (2005)
Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre
Reducing connectivity by using cortical modular bands. ESANN (2004)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Optimal Brain Surgeon Variants for Optimization. ECAI (2004)
Hervé Frezza-Buet, Frédéric Alexandre
From a biological to a computational model for the autonomous behavior of an animat. Inf. Sci. 144 (1-4) (2002)
Jean-Francois Remm, Frédéric Alexandre
Knowledge extraction using artificial neural networks: application to radar target identification. Signal Process. 82 (1) (2002)
Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing. Sequence Learning (2001)
Laurent Bougrain, Frédéric Alexandre
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison. Neurocomputing 28 (1-3) (1999)
Yann Boniface, Frédéric Alexandre, Stéphane Vialle
A Library to Implement Neural Networks on MIMD Machines. Euro-Par (1999)
Nicolas P. Rougier, Frédéric Alexandre
Spatial knowledge transfer between models of hippocampus and associative cortex. IJCNN (1999)
Yann Boniface, Frédéric Alexandre, Stéphane Vialle
A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers. IJCNN (1999)
Laurent Bougrain, Frédéric Alexandre
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem. IJCNN (1999)
Hervé Frezza-Buet, Frédéric Alexandre
Specialization with cortical models: An application to causality learning. ESANN (1999)
Hervé Frezza-Buet, Frédéric Alexandre
Modeling prefrontal functions for robot navigation. IJCNN (1999)
Frédéric Alexandre
Tools and Experiments for Hybrid Neuro-Symbolic Processing. ICTAI (1997)
Frédéric Alexandre, Jean-Francois Remm
Knowledge extraction from neural networks for signal interpretation. ESANN (1997)
Stéphane Durand, Frédéric Alexandre
TOM, a new temporal neural net architecture for speech signal processing. ICASSP (1996)
Frédéric Alexandre
Connectionist cognitive processing for invariant pattern recognition. ICPR (1996)
Nicolas Pican, Frédéric Alexandre, Patrick Bresson
Artificial Neural Networks for the Presetting of a Steel Temper Mill. IEEE Expert 11 (1) (1996)
Melanie Hilario, Yannick Lallement, Frédéric Alexandre
Neurosymbolic integration: unified versus hybrid approaches. ESANN (1995)
Frédéric Alexandre, Frédéric Guyot
Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks. IWANN (1995)
Yannick Lallement, Melanie Hilario, Frédéric Alexandre
Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. WOCFAI (1995)
Stéphane Durand, Frédéric Alexandre
Spatio-Temporal Mask Learning: Application to Speech Recognition. ICANNGA (1995)
Thierry Balandier, Alexandre Caminada, Vincent Lemoine, Frédéric Alexandre
170 MHz field strength prediction in urban environment using neural nets. PIMRC (1995)
Jean-François Remm, Frédéric Alexandre, Laurent Savy
Automatic Radar Target Identification Using Neural Networks. ICANNGA (1995)
Nicolas Pican, Jean-Claude Fort, Frédéric Alexandre
A lateral contribution learning algorithm for multi MLP architecture. ESANN (1994)
Nicolas Pican, Jean-Claude Fort, Frédéric Alexandre
An on-line learning algorithm for the orthogonal weight estimation of MLP. Neural Process. Lett. 1 (1) (1994)
Frédéric Alexandre, Frédéric Guyot, Jean Paul Haton, Yves Burnod
The cortical column: A new processing unit for multilayered networks. Neural Networks 4 (1) (1991)
Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton
Principles and applications of the cortical column symbolic neural model. IJCNN (1990)
Frédéric Guyot, Frédéric Alexandre, Jean Paul Haton
Toward a continuous model of the cortical column: Application to speech recognition. ICASSP (1989)
Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton, Yves Burnod
A Potentially Powerful Connectionist Unit: The Cortical Column. NATO Neurocomputing (1989)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frédéric Alexandre