HIGHLIGHTS
- who: Rong Chen from the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States have published the paper: Meta-Learning for Decoding Neural Activity Data With Noisy Labels, in the Journal: (JOURNAL)
- what: That is, the authors aim to construct a predictive model f: X → Y based on a dataset D, where X is a vector of brain-related features. The authors propose to utilize a sample reweighting algorithm that learns to assign weights to training data to solve the label noise problem in neural decoding. This . . .
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