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Computational limits to the legibility of the imaged human brain
April 4, 2024, 4:46 a.m. | James K Ruffle, Robert J Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
cs.CV updates on arXiv.org arxiv.org
Abstract: Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications, and casting doubt on the generalisability of inferred mechanisms. It remains unknown whether the difficulty arises from the absence of individuating biological patterns within the brain, or from limited power to access them with the models and compute at our disposal. Here we comprehensively investigate the resolvability …
abstract applications arxiv brain clinical computational cs.cv differences eess.iv functional human knowledge organisation population power q-bio.nc translate type
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