Laurent Bougrain

According to our database1, Laurent Bougrain authored at least 27 papers between 1999 and 2020.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2020
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System.
Comput. Intell. Neurosci., 2019

Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

On Source Space Resolution in EEG Brain Imaging for Motor Imagery.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Can suggestive hypnosis be used to improve the BCI performance ?
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2017
Modulation of beta power in EEG during discrete and continuous motor imageries.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Discretes motor Imageries can be used to Allow Faster Detection.
Proceedings of the From Vision to Reality, 2017

2015
A Multi-label Classification Method for Detection of Combined Motor Imageries.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Alpha rebound improves on-line detection of the end of motor imageries.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Comparison of sensorimotor rhythms in EEG signals during simple and combined motor imageries over the contra and ipsilateral hemispheres.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
Wavelet-based Semblance for P300 Single-trial Detection.
Proceedings of the BIOSIGNALS 2013, 2013

2012
From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain
CoRR, 2012

Using neuronal states for transcribing cortical activity into muscular effort.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2009
Combining Supervised and Unsupervised Learning for GIS Classification
CoRR, 2009

Decoding finger flexion using amplitude modulation from band-specific ECoG.
Proceedings of the ESANN 2009, 2009

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 ESANN 2007, 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

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

2000
Etude de la construction par réseaux neuromimétiques de représentations interprétables : Application à la prédiction dans le domaine des télécommunications. (Artificial neural networks arrangements leading to knowledge extraction / Artificial neural networks arrangements leading to knowledge extraction : Application to forecasting for telecommunication).
PhD thesis, 2000

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


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