Rodolphe J. Gentili

According to our database1, Rodolphe J. Gentili authored at least 37 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
An Integrative Assessment of Cognitive-Motor Processes Underlying Mental Workload and Performance Under Varying Levels of Controllability.
Proceedings of the Augmented Cognition, 2024

Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context.
Proceedings of the Augmented Cognition, 2024

2023
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks.
Int. J. Soc. Robotics, August, 2023

Cognitive-motor performance assessment during in-person and remote practice of action sequences.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Decoding EEG Signals with Visibility Graphs to Predict Varying Levels of Mental Workload.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Multiplex Temporal Networks for Rapid Mental Workload Classification.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
NeuroLISP: High-level symbolic programming with attractor neural networks.
Neural Networks, 2022

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences.
Proceedings of the Augmented Cognition, 2022

2021
Compositional memory in attractor neural networks with one-step learning.
Neural Networks, 2021

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot.
Int. J. Soc. Robotics, 2021

Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm.
Frontiers Neurorobotics, 2021

A Neurocomputational Model of Posttraumatic Stress Disorder.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2019
A programmable neural virtual machine based on a fast store-erase learning rule.
Neural Networks, 2019

2018
A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.
IEEE Trans. Cogn. Dev. Syst., 2018

Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
A limit-cycle self-organizing map architecture for stable arm control.
Neural Networks, 2017

2016
A Self-Organizing Map Architecture for Arm Reaching Based on Limit Cycle Attractors.
EAI Endorsed Trans. Self Adapt. Syst., 2016

Imitation Learning as Cause-Effect Reasoning.
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015
Self-organizing maps based on limit cycle attractors.
Neural Networks, 2015

A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements.
Int. J. Soc. Robotics, 2015

A virtual demonstrator environment for robot imitation learning.
Proceedings of the 2015 IEEE International Conference on Technologies for Practical Robot Applications, 2015

Probe-independent EEG assessment of mental workload in pilots.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

A Composite Cognitive Workload Assessment System in Pilots Under Various Task Demands Using Ensemble Learning.
Proceedings of the Foundations of Augmented Cognition, 2015

An Object-Centric Paradigm for Robot Programming by Demonstration.
Proceedings of the Foundations of Augmented Cognition, 2015

Cognitive-Motor Processes During Arm Reaching Performance Through a Human Body-Machine Interface.
Proceedings of the Foundations of Augmented Cognition, 2015

Prolonged Physical Effort Affects Cognitive Processes During Special Forces Training.
Proceedings of the Foundations of Augmented Cognition, 2015

2014
Brain biomarkers based assessment of cognitive workload in pilots under various task demands.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Understanding Brain Connectivity Patterns during Motor Performance under Social-Evaluative Competitive Pressure.
Proceedings of the Foundations of Augmented Cognition, 2013

Human-Robotic Collaborative Intelligent Control for Reaching Performance.
Proceedings of the Foundations of Augmented Cognition, 2013

2012
Modeling of visuospatial perspectives processing and modulation of the fronto-parietal network activity during action imitation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Cortex inspired model for inverse kinematics computation for a humanoid robotic finger.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Brain in the Loop: Assessing Learning Using fNIR in Cognitive and Motor Tasks.
Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

Non-invasive Functional Brain Biomarkers for Cognitive-Motor Performance Assessment: Towards New Brain Monitoring Applications.
Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron system.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Cortical network modeling for inverse kinematic computation of an anthropomorphic finger.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008
A new generation of non-invasive biomarkers of cognitive-motor states with application to smart brain-computer interfaces.
Proceedings of the 2008 16th European Signal Processing Conference, 2008


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