Filtrer vos résultats
- 4
- 3
- 3
- 1
- 1
- 1
- 1
- 5
- 3
- 1
- 2
- 1
- 3
- 7
- 7
- 2
- 1
- 1
- 7
- 4
- 4
- 4
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
7 résultats
|
|
|
triés par
|
On the classification of mental states by means of network-based featuresNetSci 2020 - International School and Conference on Network Science, Sep 2020, Rome / Virtual, Italy
Communication dans un congrès
hal-03015986v1
|
|||
Spatial network metrics for characterizing brain-computer interface mental statesNetSci 2021 - International School and Conference on Network Science, Jul 2021, Virtual, United States
Communication dans un congrès
hal-03479692v1
|
|||
|
|
Main existing datasets for open data research on humans2022
Pré-publication, Document de travail
hal-03666558v1
|
||
|
|
Towards the use of spatial network metrics for characterizing brain mental statesCCS 2020 - Conference on Complex Systems, Dec 2020, Virtual, France
Communication dans un congrès
hal-03479723v1
|
||
|
|
Development of Network Features for Brain-Computer InterfacesHuman-Computer Interaction [cs.HC]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS286⟩
Thèse
tel-03913622v2
|
||
|
|
Network-based brain computer interfaces: principles and applicationsJournal of Neural Engineering, 2020, ⟨10.1088/1741-2552/abc760⟩
Article dans une revue
hal-03015953v1
|
||
|
|
Main Existing Datasets for Open Brain Research on HumansOlivier Colliot. Machine Learning for Brain Disorders, Springer US, pp.753-804, 2023, ⟨10.1007/978-1-0716-3195-9_24⟩
Chapitre d'ouvrage
hal-04254339v1
|