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ORCIDFrédéric Alexandre
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2020 – today
- 2024
[c60]Paul Bernard
, Frédéric Alexandre, Xavier Hinaut:
Prediction of Reaching Movements with Target Information Towards Trans-humeral Prosthesis Control Using Reservoir Computing and LSTMs. ICANN (10) 2024: 142-155- 2023
- [c59]Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut:
MEG Encoding using Word Context Semantics in Listening Stories. INTERSPEECH 2023: 5152-5156 - [i10]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 abs/2303.06956 (2023) - [i9]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 abs/2307.10246 (2023) - 2022
- [j18]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: 107657 (2022) - [c58]Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier:
From Concrete to Abstract Rules: A Computational Sketch. BI 2022: 15-26 - [c57]Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut:
Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. CogSci 2022 - [c56]Jianyong Xue, Frédéric Alexandre:
Developmental Modular Reinforcement Learning. ESANN 2022 - [c55]Jianyong Xue, Frédéric Alexandre:
Multi-task Learning with Modular Reinforcement Learning. SAB 2022: 127-138 - [i8]Naomi Chaix-Eichel, Snigdha Dagar, Quentin Lanneau, Karen Sobriel, Thomas Boraud, Frédéric Alexandre, Nicolas P. Rougier:
From implicit learning to explicit representations. CoRR abs/2204.02484 (2022) - 2021
- [j17]Frédéric Alexandre:
A global framework for a systemic view of brain modeling. Brain Informatics 8(1): 3 (2021) - [j16]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): 191-199 (2021) - [c54]Hugo Chateau-Laurent, Frédéric Alexandre:
Towards a Computational Cognitive Neuroscience Model of Creativity. ICCI*CC 2021: 67-71 - [c53]Chloé Mercier, Frédéric Alexandre, Thierry Viéville:
Reinforcement Symbolic Learning. ICANN (4) 2021: 608-612 - [c52]Chloé Mercier, Lisa Roux, Margarida Romero, Frédéric Alexandre, Thierry Viéville:
Formalizing Problem Solving in Computational Thinking : an Ontology approach. ICDL 2021: 1-8 - [c51]Hugo Chateau-Laurent, Frédéric Alexandre:
Augmenting Machine Learning with Flexible Episodic Memory. IJCCI 2021: 326-333 - [c50]Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier:
Deciphering the contributions of episodic and working memories in increasingly complex decision tasks. IJCNN 2021: 1-6 - [i7]Frédéric Alexandre, Xavier Hinaut, Nicolas P. Rougier, Thierry Viéville:
Higher Cognitive Functions in Bio-Inspired Artificial Intelligence. ERCIM News 2021(125) (2021) - 2020
- [c49]Frédéric Alexandre:
Creativity explained by Computational Cognitive Neuroscience. ICCC 2020: 374-377 - [c48]Guillaume Padiolleau, Olivier Bach, Alain Hugget, Denis Penninckx, Frédéric Alexandre:
A Structure of Restricted Boltzmann Machine for Modeling System Dynamics. IJCNN 2020: 1-8 - [p1]Frédéric Alexandre, Peter F. Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, Nicolas P. Rougier:
When Artificial Intelligence and Computational Neuroscience Meet. A Guided Tour of Artificial Intelligence Research (3) (III) 2020: 303-335
2010 – 2019
- 2019
- [i6]Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre:
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. CoRR abs/1912.03126 (2019) - 2018
- [j15]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: 100 (2018) - [c47]Frédéric Alexandre:
Different Learning Architectures Contribute to Value Prediction in Human Cognition. AIC 2018: 40-51 - [c46]Bhargav Teja Nallapu, Frédéric Alexandre:
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents. IJCCI 2018: 152-159 - [c45]Bhargav Teja Nallapu, Frédéric Alexandre:
A Survival Task for the Design and the Assessment of an Autonomous Agent. Living Machines 2018: 338-347 - 2017
- [j14]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, Jemma 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: e142 (2017) - [c44]Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre:
Implicit Knowledge Extraction and Structuration from Electrical Diagrams. IEA/AIE (1) 2017: 235-241 - [c43]Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju:
A biologically inspired neuronal model of reward prediction error computation. IJCNN 2017: 3577-3584 - [i5]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, Jemma 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 abs/1707.04393 (2017) - 2016
- [c42]Frédéric Alexandre, Maxime Carrere:
Modeling Neuromodulation as a Framework to Integrate Uncertainty in General Cognitive Architectures. AGI 2016: 324-333 - [c41]Maxime Carrere, Frédéric Alexandre:
A System-Level Model of Noradrenergic Function. ICANN (1) 2016: 214-221 - [c40]Maxime Carrere, Frédéric Alexandre:
Modeling the sensory roles of noradrenaline in action selection. ICDL-EPIROB 2016: 174-179 - [c39]Frédéric Alexandre:
Beyond Machine Learning: Autonomous Learning. IJCCI (NCTA) 2016: 97-101 - [i4]Frédéric Alexandre:
Autonomous Machine Learning. ERCIM News 2016(107) (2016) - 2015
- [j13]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): 549-559 (2015) - [c38]Randa Kassab, Frédéric Alexandre:
A Heteroassociative Learning Model Robust to Interference. IJCCI (NCTA) 2015: 49-57 - [c37]Randa Kassab, Frédéric Alexandre:
A Modular Network Architecture Resolving Memory Interference Through Inhibition. IJCCI (Selected Papers) 2015: 407-422 - [c36]Maxime Carrere, Frédéric Alexandre:
Modeling pavlovian conditioning with multiple neuronal populations. IJCNN 2015: 1-8 - 2014
- [c35]Frédéric Alexandre, Maxime Carrere, Randa Kassab:
Feature, Configuration, History - A Bio-inspired Framework for Information Representation in Neural Networks. IJCCI (NCTA) 2014: 316-321 - [c34]Nicolas Denoyelle, Florian Pouget, Thierry Viéville, Frédéric Alexandre:
VirtualEnaction - A Platform for Systemic Neuroscience Simulation. NEUROTECHNIX 2014: 155-163 - 2011
- [j12]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): 279-293 (2011) - [j11]Lucian Alecu, Hervé Frezza-Buet, Frédéric Alexandre:
Can self-organisation emerge through dynamic neural fields computation? Connect. Sci. 23(1): 1-31 (2011) - [c33]Nishal Shah, Frédéric Alexandre:
Reinforcement learning and dimensionality reduction: A model in computational neuroscience. IJCNN 2011: 836-842 - 2010
- [c32]Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre:
Saccades Generation - From the Visual Input to the Superior Colliculus. IJCCI (ICFC-ICNC) 2010: 176-181 - [c31]Wahiba Taouali, Nicolas P. Rougier, Frédéric Alexandre:
Visual Target Selection Emerges from a Bio-inspired Network Topology. IJCCI (Selected Papers) 2010: 317-330
2000 – 2009
- 2009
- [j10]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): 191-234 (2009) - [j9]Frédéric Alexandre:
Cortical basis of communication: Local computation, coordination, attention. Neural Networks 22(2): 126-133 (2009) - [i3]Juan-Manuel Torres-Moreno, Laurent Bougrain, Frédéric Alexandre:
Combining Supervised and Unsupervised Learning for GIS Classification. CoRR abs/0905.2347 (2009) - 2008
- [i2]Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre:
A computational approach to the covert and overt deployment of spatial attention. CoRR abs/0809.4622 (2008) - 2007
- [j8]Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing 71(1-3): 131-136 (2007) - [c30]Thomas Girod, Laurent Bougrain, Frédéric Alexandre:
Toward a robust 2D spatio-temporal self-organization. ESANN 2007: 145-150 - 2006
- [c29]Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. ANNPR 2006: 11-20 - [c28]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: 114-119 - 2005
- [j7]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): 303-315 (2005) - [c27]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Neural Network Topology Optimization. ICANN (2) 2005: 53-58 - [c26]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Self-organizing Map Initialization. ICANN (1) 2005: 357-362 - [c25]Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre:
A Distributed Model of Spatial Visual Attention. Biomimetic Neural Learning for Intelligent Robots 2005: 54-72 - [c24]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: 144-161 - [i1]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 abs/cs/0510083 (2005) - 2004
- [c23]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Optimal Brain Surgeon Variants for Optimization. ECAI 2004: 957-958 - [c22]Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre:
Reducing connectivity by using cortical modular bands. ESANN 2004: 373-378 - 2002
- [j6]Hervé Frezza-Buet, Frédéric Alexandre:
From a biological to a computational model for the autonomous behavior of an animat. Inf. Sci. 144(1-4): 1-43 (2002) - [j5]Jean-Francois Remm, Frédéric Alexandre:
Knowledge extraction using artificial neural networks: application to radar target identification. Signal Process. 82(1): 117-120 (2002) - 2001
- [c21]Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre:
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing. Sequence Learning 2001: 321-348
1990 – 1999
- 1999
- [j4]Laurent Bougrain, Frédéric Alexandre:
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison. Neurocomputing 28(1-3): 177-189 (1999) - [c20]Hervé Frezza-Buet, Frédéric Alexandre:
Specialization with cortical models: An application to causality learning. ESANN 1999: 263-268 - [c19]Yann Boniface, Frédéric Alexandre, Stéphane Vialle:
A Library to Implement Neural Networks on MIMD Machines. Euro-Par 1999: 935-938 - [c18]Nicolas P. Rougier, Frédéric Alexandre:
Spatial knowledge transfer between models of hippocampus and associative cortex. IJCNN 1999: 247-251 - [c17]Hervé Frezza-Buet, Frédéric Alexandre:
Modeling prefrontal functions for robot navigation. IJCNN 1999: 252-257 - [c16]Yann Boniface, Frédéric Alexandre, Stéphane Vialle:
A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers. IJCNN 1999: 2441-2446 - [c15]Laurent Bougrain, Frédéric Alexandre:
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem. IJCNN 1999: 3451-3456 - 1997
- [c14]Frédéric Alexandre, Jean-Francois Remm:
Knowledge extraction from neural networks for signal interpretation. ESANN 1997 - [c13]Frédéric Alexandre:
Tools and Experiments for Hybrid Neuro-Symbolic Processing. ICTAI 1997: 338- - 1996
- [j3]Nicolas Pican, Frédéric Alexandre, Patrick Bresson:
Artificial Neural Networks for the Presetting of a Steel Temper Mill. IEEE Expert 11(1): 22-27 (1996) - [c12]Stéphane Durand, Frédéric Alexandre:
TOM, a new temporal neural net architecture for speech signal processing. ICASSP 1996: 3549-3552 - [c11]Frédéric Alexandre:
Connectionist cognitive processing for invariant pattern recognition. ICPR 1996: 679-683 - 1995
- [c10]Melanie Hilario, Yannick Lallement, Frédéric Alexandre:
Neurosymbolic integration: unified versus hybrid approaches. ESANN 1995 - [c9]Stéphane Durand, Frédéric Alexandre:
Spatio-Temporal Mask Learning: Application to Speech Recognition. ICANNGA 1995: 132-135 - [c8]Jean-François Remm, Frédéric Alexandre, Laurent Savy:
Automatic Radar Target Identification Using Neural Networks. ICANNGA 1995: 190-193 - [c7]Frédéric Alexandre, Frédéric Guyot:
Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks. IWANN 1995: 24-30 - [c6]Thierry Balandier, Alexandre Caminada, Vincent Lemoine, Frédéric Alexandre:
170 MHz field strength prediction in urban environment using neural nets. PIMRC 1995: 120-124 - [c5]Yannick Lallement, Melanie Hilario, Frédéric Alexandre:
Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. WOCFAI 1995: 193-203 - 1994
- [j2]Nicolas Pican, Jean-Claude Fort, Frédéric Alexandre:
An on-line learning algorithm for the orthogonal weight estimation of MLP. Neural Process. Lett. 1(1): 21-24 (1994) - [c4]Nicolas Pican, Jean-Claude Fort, Frédéric Alexandre:
A lateral contribution learning algorithm for multi MLP architecture. ESANN 1994 - 1991
- [j1]Frédéric Alexandre, Frédéric Guyot, Jean Paul Haton, Yves Burnod:
The cortical column: A new processing unit for multilayered networks. Neural Networks 4(1): 15-25 (1991) - 1990
- [b1]Frédéric Alexandre:
Une modélisation fonctionnelle du cortex : La colonne corticale : aspects visuels et moteurs. Henri Poincaré University, Nancy, France, 1990 - [c3]Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton:
Principles and applications of the cortical column symbolic neural model. IJCNN 1990: 703-708
1980 – 1989
- 1989
- [c2]Frédéric Guyot, Frédéric Alexandre, Jean Paul Haton:
Toward a continuous model of the cortical column: Application to speech recognition. ICASSP 1989: 37-40 - [c1]Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton, Yves Burnod:
A Potentially Powerful Connectionist Unit: The Cortical Column. NATO Neurocomputing 1989: 369-377
Coauthor Index
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