New Conference Paper. www.researchgate.net/publication/.... One of the key advantages of groups is their ability to pool resources and share information effectively, enabling coordinated efforts that result in emergent behaviors ... #EEG #machinelearning #AI #neuroscience #MNEpython
(PDF) Enhancing Decision-Making in Human-Machine Teams
PDF | One of the key advantages of groups is their ability to pool resources and share information effectively, enabling coordinated efforts that result... | Find, read and cite all the research you n...
www.researchgate.net
August 22, 2025 at 9:33 PM
New Conference Paper. www.researchgate.net/publication/.... One of the key advantages of groups is their ability to pool resources and share information effectively, enabling coordinated efforts that result in emergent behaviors ... #EEG #machinelearning #AI #neuroscience #MNEpython
Our EEG montage interpolation method is now in MNE-Python 1.10!
Based on our EUSIPCO 2024 paper, .interpolate_to() maps signals across caps in one line—ideal for preprocessing EEG before training AI models across datasets.
📄 arxiv.org/abs/2403.15415
🧠 mne.tools/stable/auto_...
#EEG #MNEPython #AI
Based on our EUSIPCO 2024 paper, .interpolate_to() maps signals across caps in one line—ideal for preprocessing EEG before training AI models across datasets.
📄 arxiv.org/abs/2403.15415
🧠 mne.tools/stable/auto_...
#EEG #MNEPython #AI
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
Combining electroencephalogram (EEG) datasets for supervised machine learning (ML) is challenging due to session, subject, and device variability. ML algorithms typically require identical features at...
arxiv.org
July 21, 2025 at 6:48 AM
Our EEG montage interpolation method is now in MNE-Python 1.10!
Based on our EUSIPCO 2024 paper, .interpolate_to() maps signals across caps in one line—ideal for preprocessing EEG before training AI models across datasets.
📄 arxiv.org/abs/2403.15415
🧠 mne.tools/stable/auto_...
#EEG #MNEPython #AI
Based on our EUSIPCO 2024 paper, .interpolate_to() maps signals across caps in one line—ideal for preprocessing EEG before training AI models across datasets.
📄 arxiv.org/abs/2403.15415
🧠 mne.tools/stable/auto_...
#EEG #MNEPython #AI