Community-driven methods development in naturalistic neuroscience [article]

Elizabeth DuPre
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)
more » ... as well as multi-echo driven denoising of fMRI signals. Opportunities and challenges for community-driven neuroscience methods development in the era of "deep data" are discussed.
doi:10.6084/m9.figshare.12366944 fatcat:mjzapzyi3vcbxdezyct3wjxcau