Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics-Reference-Cited by-同舟云学术

Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics

Author:

Gao Siyuan¹,Mishne Gal²³,Scheinost Dustin¹⁴⁵⁶^ORCID

Affiliation:

1. Department of Biomedical Engineering Yale University New Haven Connecticut USA

2. Halıcıoğlu Data Science Institute, University of California San Diego La Jolla California USA

3. Neurosciences Graduate Program, University of California San Diego La Jolla California USA

4. Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut USA

5. Department of Statistics and Data Science Yale University New Haven Connecticut USA

6. Child Study Center, Yale School of Medicine New Haven Connecticut USA

Funder

NIH

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

Reference51 articles.

5. A dendrite method foe cluster analysis;Caliñski T.;Communications in Statistics,1974

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