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Community-driven methods development in naturalistic neuroscience
[article]
2020
Figshare
Presented at the Princeton Neuroimaging Analysis Methods (NIAM) talk series, 22 May 2020.Naturalistic neuroscience features high-dimensional signal sources for both brain and behavior and is therefore driven in large-part by methodological advances. In this talk, I argue that community-driven methods development provides necessary structure for creating robust and reliable inferences. I consider two case studies from my own work investigating methods for functional alignment (or hyperalignment)
doi:10.6084/m9.figshare.12366944
fatcat:mjzapzyi3vcbxdezyct3wjxcau