Contents
PhD Thesis
Topic: Methodology for enhanced and adapted neurofeedback trainings
Supervisors: Pierre MAUREL and Claire CURY
Since: October 2021
Research interests
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Neurofeedback
- fMRI
- EEG
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Machine learning
Short Resume
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Engineering school ESIR (Rennes 1) (2018-2021)
- CPGE Lycée Chateaubriand (2016-2018)
Publications and posters
Caroline Pinte, Claire Cury, Pierre Maurel. RNN-LSTM neural network for predicting fMRI neurofeedback scores from EEG signals. rtFIN 2022 – Real-Time Functional Imaging and Neurofeedback meeting, Oct 2022, New Haven, United States. ⟨hal-03798824⟩
Caroline Pinte, Mathis Fleury, Pierre Maurel. Deep learning-based localization of EEG electrodes within MRI acquisitions. Frontiers in Neurology, 2021, ⟨10.3389/fneur.2021.644278⟩. ⟨inserm-03214269v3⟩
Contact
Email: caroline.pinte@irisa.fr
Address:
IRISA / INRIA Rennes
Campus Universitaire de Beaulieu
35042 Rennes Cedex – France