PhD Thesis

Topic: Methodology for enhanced and adapted neurofeedback trainings

Supervisors: Pierre MAUREL and Claire CURY

Since: October 2021

Research interests

• Neurofeedback
• fMRI
• EEG
• Machine learning

Short Resume

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

LinkedIn: https://www.linkedin.com/in/carolinepinte/