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Found 3 papers, 1 papers with code
Identifying epileptogenic abnormality by decomposing intracranial EEG and MEG power spectra
Combining periodic and aperiodic abnormalities improved performance, similar to the complete band power approach.
Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture
There is a concerted effort to build domain-general artificial intelligence in the form of universal neural network models with sufficient computational flexibility to solve a wide variety of cognitive tasks but without requiring fine-tuning on individual problem spaces and domains.
Enhancing Fiber Orientation Distributions using convolutional Neural Networks
We evaluate how well each CNN model can resolve local fiber orientation 1) when training and testing on datasets with the same dMRI acquisition protocol; 2) when testing on a dataset with a different dMRI acquisition protocol than used to train the CNN models; and 3) when testing on a dataset with a fewer number of gradient directions than used to train the CNN models.
