887 citations
- Baycrest Academy for Research and EducationCA5 papers
- Baycrest HospitalCA5 papers
- University of TorontoCA5 papers
- McGill UniversityCA3 papers
- Montreal Neurological Institute and HospitalCA3 papers
- CEA Paris-SaclayFR1 paper
- Centre for Addiction and Mental HealthCA1 paper
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- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Donders Institute for Brain, Cognition and BehaviourNL1 paper
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7 papers
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments
Ryan A. Panela, Alex J. Barnett, Morgan D. Barense +1
Understanding how individuals perceive and recall information in their natural environments is critical to understanding potential failures in perception (e.g., sensory loss) and m…
The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare
Souren Pashangpour, Goldie Nejat
The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging…
Image memorability predicts social media virality and externally-associated commenting
Shikang Peng, Wilma A. Bainbridge
Visual content on social media plays a key role in entertainment and information sharing, yet some images gain more engagement than others. We propose that image memorability - the…
covSTATIS: a multi-table technique for network neuroscience
Giulia Baracchini, Ju-Chi Yu, Jenny Rieck +5
Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience. Here, we introduce covSTATIS, a versatile, linear, unsuper…
Generalized eigen, singular value, and partial least squares decompositions: The GSVD package
Derek Beaton
The generalized singular value decomposition (GSVD, a.k.a. "SVD triplet", "duality diagram" approach) provides a unified strategy and basis to perform nearly all of the most common…
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Gaël Varoquaux, Pradeep Reddy Raamana, Denis Engemann +3
Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its predictive power. Such evaluation is achieved via cross-validation, a method also used t…