Machine learning four NeuroImaging data analysis
Résumé
Machine learning has become an ubiquitous tool for neuroimaging data analysis over the last two decades. It has opened up the possibility of assessing relationships between brain characteristics -and most importantly, brain activity -with many different behavioural covariates, both in the field of cognitive neuroscience and for population studies. The use of machine learning requires some expertise, as there are some pitfalls to avoid, such as biased assessments due to some form of data leakage, or reliance on underpowered datasets leading to erroneous conclusions. The era of larger datasets is upon us, and the field of generative AI brings a new perspective to the field.
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Applications [stat.AP]Origine | Fichiers produits par l'(les) auteur(s) |
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