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Decoding cognitive subtasks of complex problem solving using fMRI signals., , , , and . SIU, page 1-4. IEEE, (2018)Learning to Decode Cognitive States from Brain Images., , , , , , and . Mach. Learn., 57 (1-2): 145-175 (2004)HydraNet: a multi-branch convolutional neural network architecture for MRI denoising., , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)The Differential Relationship Between Finger Gnosis, and Addition and Subtraction: An fMRI Study., , , and . J. Numer. Cogn., 3 (3): 694-715 (2017)The Effect of Strategy on Problem Solving: An fMRI Study., , , and . J. Probl. Solving, (2010)Does finger sense predict addition performance?. Cogn. Process., 17 (2): 139-146 (2016)On the Brain Networks of Complex Problem Solving., , , , and . CoRR, (2018)Finger Based Representation of Numbers: Correlation Between Finger Tapping Ability and Digit Span., and . CogSci, cognitivesciencesociety.org, (2011)You Can Count on Your Fingers: The Role of Fingers in Early Mathematical Development., , and . J. Numer. Cogn., 4 (1): 107-135 (2018)Fitting IVIM with Variable Projection and Simplicial Optimization., , , , , , , , , and 3 other author(s). CoRR, (2019)