Frédéric Alexandre

Orcid: 0000-0002-6113-1878

According to our database1, Frédéric Alexandre authored at least 88 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prediction of Reaching Movements with Target Information Towards Trans-humeral Prosthesis Control Using Reservoir Computing and LSTMs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey).
CoRR, 2023

Teaching and learning in the age of artificial intelligence.
CoRR, 2023

MEG Encoding using Word Context Semantics in Listening Stories.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture.
Knowl. Based Syst., 2022

From implicit learning to explicit representations.
CoRR, 2022

Multi-task Learning with Modular Reinforcement Learning.
Proceedings of the From Animals to Animats 16, 2022

Developmental Modular Reinforcement Learning.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

From Concrete to Abstract Rules: A Computational Sketch.
Proceedings of the Brain Informatics - 15th International Conference, 2022

2021
Why, What and How to Help Each Citizen to Understand Artificial Intelligence?
Künstliche Intell., 2021

Higher Cognitive Functions in Bio-Inspired Artificial Intelligence.
ERCIM News, 2021

A global framework for a systemic view of brain modeling.
Brain Informatics, 2021

Deciphering the contributions of episodic and working memories in increasingly complex decision tasks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Augmenting Machine Learning with Flexible Episodic Memory.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Formalizing Problem Solving in Computational Thinking : an Ontology approach.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Reinforcement Symbolic Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Towards a Computational Cognitive Neuroscience Model of Creativity.
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

2020
A Structure of Restricted Boltzmann Machine for Modeling System Dynamics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Creativity explained by Computational Cognitive Neuroscience.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

When Artificial Intelligence and Computational Neuroscience Meet.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume III: Interfaces and Applications of Artificial Intelligence, 2020

2018
Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes.
Frontiers Comput. Neurosci., 2018

A Survival Task for the Design and the Assessment of an Autonomous Agent.
Proceedings of the Biomimetic and Biohybrid Systems - 7th International Conference, 2018

Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Different Learning Architectures Contribute to Value Prediction in Human Cognition.
Proceedings of the 6th International Workshop on Artificial Intelligence and Cognition, 2018

2017
Sustainable computational science: the ReScience initiative.
PeerJ Comput. Sci., 2017

A biologically inspired neuronal model of reward prediction error computation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Implicit Knowledge Extraction and Structuration from Electrical Diagrams.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016
Autonomous Machine Learning.
ERCIM News, 2016

Beyond Machine Learning: Autonomous Learning.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Modeling the sensory roles of noradrenaline in action selection.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

A System-Level Model of Noradrenergic Function.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Modeling Neuromodulation as a Framework to Integrate Uncertainty in General Cognitive Architectures.
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015
A parsimonious computational model of visual target position encoding in the superior colliculus.
Biol. Cybern., 2015

Modeling pavlovian conditioning with multiple neuronal populations.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Modular Network Architecture Resolving Memory Interference Through Inhibition.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

A Heteroassociative Learning Model Robust to Interference.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014
VirtualEnaction - A Platform for Systemic Neuroscience Simulation.
Proceedings of the 2nd International Congress on Neurotechnology, 2014

Feature, Configuration, History - A Bio-inspired Framework for Information Representation in Neural Networks.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2011
Can self-organisation emerge through dynamic neural fields computation?
Connect. Sci., 2011

A Dynamic Neural Field Approach to the Covert and Overt Deployment of Spatial Attention.
Cogn. Comput., 2011

Reinforcement learning and dimensionality reduction: A model in computational neuroscience.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Visual Target Selection Emerges from a Bio-inspired Network Topology.
Proceedings of the Computational Intelligence, 2010

Saccades Generation - From the Visual Input to the Superior Colliculus.
Proceedings of the ICFC-ICNC 2010, 2010

2009
Cortical basis of communication: Local computation, coordination, attention.
Neural Networks, 2009

Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data.
Mach. Learn., 2009

Combining Supervised and Unsupervised Learning for GIS Classification
CoRR, 2009

2008
A computational approach to the covert and overt deployment of spatial attention
CoRR, 2008

2007
Spatio-temporal biologically inspired models for clean and noisy speech recognition.
Neurocomputing, 2007

Toward a robust 2D spatio-temporal self-organization.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Supervised neuronal approaches for EEG signal classification: Experimental studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages
CoRR, 2005

A model of contextual effect on reproduced extents in recall tasks: the issue of the imputed motion hypothesis.
Biol. Cybern., 2005

A Distributed Model of Spatial Visual Attention.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Self-organizing Map Initialization.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Neural Network Topology Optimization.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Reducing connectivity by using cortical modular bands.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Optimal Brain Surgeon Variants for Optimization.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2002
Knowledge extraction using artificial neural networks: application to radar target identification.
Signal Process., 2002

From a biological to a computational model for the autonomous behavior of an animat.
Inf. Sci., 2002

2001
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

1999
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison.
Neurocomputing, 1999

Spatial knowledge transfer between models of hippocampus and associative cortex.
Proceedings of the International Joint Conference Neural Networks, 1999

Modeling prefrontal functions for robot navigation.
Proceedings of the International Joint Conference Neural Networks, 1999

Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem.
Proceedings of the International Joint Conference Neural Networks, 1999

A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers.
Proceedings of the International Joint Conference Neural Networks, 1999

A Library to Implement Neural Networks on MIMD Machines.
Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999

Specialization with cortical models: An application to causality learning.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1997
Tools and Experiments for Hybrid Neuro-Symbolic Processing.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Knowledge extraction from neural networks for signal interpretation.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
Artificial Neural Networks for the Presetting of a Steel Temper Mill.
IEEE Expert, 1996

Connectionist cognitive processing for invariant pattern recognition.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

TOM, a new temporal neural net architecture for speech signal processing.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Neurosymbolic Integration: Cognitive Grounds and Computational Strategies.
Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, 1995

170 MHz field strength prediction in urban environment using neural nets.
Proceedings of the 6th IEEE International Symposium on Personal, 1995

Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Automatic Radar Target Identification Using Neural Networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

Spatio-Temporal Mask Learning: Application to Speech Recognition.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

Neurosymbolic integration: unified versus hybrid approaches.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
An on-line learning algorithm for the orthogonal weight estimation of MLP.
Neural Process. Lett., 1994

A lateral contribution learning algorithm for multi MLP architecture.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

1991
The cortical column: A new processing unit for multilayered networks.
Neural Networks, 1991

1990
Une modélisation fonctionnelle du cortex : La colonne corticale : aspects visuels et moteurs.
PhD thesis, 1990

Principles and applications of the cortical column symbolic neural model.
Proceedings of the IJCNN 1990, 1990

1989
A Potentially Powerful Connectionist Unit: The Cortical Column.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

Toward a continuous model of the cortical column: Application to speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 1989


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