Nicolas P. Rougier

Orcid: 0000-0002-6972-589X

Affiliations:
  • INRIA, Le Chesnay, France


According to our database1, Nicolas P. Rougier authored at least 55 papers between 1999 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Exploring the Role of Structure in a Time Constrained Decision Task.
Proceedings of the IEEE International Conference on Development and Learning, 2024

2023
Latent Space Exploration and Functionalization of a Gated Working Memory Model Using Conceptors.
Cogn. Comput., September, 2023

Attractor Dynamics Drive Flexible Timing in Birdsong.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 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

Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy.
Proceedings of the From Animals to Animats 16, 2022

Dual pathway architecture underlying vocal learning in songbirds.
Proceedings of the IEEE International Conference on Development and Learning, 2022

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

2021
Randomized Self-Organizing Map.
Neural Comput., 2021

Self-Organizing Machine Architecture.
ERCIM News, 2021

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

High-Performance Interactive Scientific Visualization With Datoviz via the Vulkan Low-Level GPU API.
Comput. Sci. Eng., 2021

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

2020
A Robust Model of Gated Working Memory.
Neural Comput., 2020

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria.
Comput. Sci. Eng., 2020

On the design of text editors.
CoRR, 2020

Transfer between long-term and short-term memory using Conceptors.
CoRR, 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

2019
Using Conceptors to Transfer Between Long-Term and Short-Term Memory.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds.
Frontiers Neuroinformatics, 2018

Neuromorphic hardware as a self-organizing computing system.
CoRR, 2018

Digital typography: 25 years of text rendering in computer graphics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

ReScience C: A Journal for Reproducible Replications in Computational Science.
Proceedings of the Reproducible Research in Pattern Recognition, 2018

A Simple Reservoir Model of Working Memory with Real Values.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Pruning Self-Organizing Maps for Cellular Hardware Architectures.
Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems, 2018

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

Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions.
Frontiers Neuroinformatics, 2017

A graphical, scalable and intuitive method for the placement and the connection of biological cells.
CoRR, 2017

Motivated self-organization.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

The art of scaling up : A computational account on action selection in basal ganglia.
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
Dynamics of Reward Based Decision Making: A Computational Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
A long journey into reproducible computational neuroscience.
Frontiers Comput. Neurosci., 2015

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

VisPy: Harnessing The GPU For Fast, High-Level Visualization.
Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015

2014
Ten Simple Rules for Better Figures.
PLoS Comput. Biol., 2014

Structure of receptive fields in a computational model of area 3b of primary sensory cortex.
Frontiers Comput. Neurosci., 2014

2011
Dynamic self-organising map.
Neurocomputing, 2011

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

Fondements biologiques pour le calcul distribué, numérique et adaptatif.
, 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
Implicit and explicit representations.
Neural Networks, 2009

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

2006
Emergence of attention within a neural population.
Neural Networks, 2006

A Computational Model of Spatial Memory Anticipation during Visual Search
CoRR, 2006

Dynamic neural field with local inhibition.
Biol. Cybern., 2006

A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

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

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

2002
Learning representations in a gated prefrontal cortex model of dynamic task switching.
Cogn. 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

2000
Modèles de mémoires pour la navigation autonome.
PhD thesis, 2000

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


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