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Found 6 papers, 1 papers with code
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
Understanding the cortical organization of the human brain requires interpretable descriptors for distinct structural and functional imaging data.
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
The variability in the perturbed networks was captured in an augmented dataset, which was then used for an age classification task.
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Here we present a new workflow for mapping cytoarchitectonic areas in large series of cell-body stained histological sections of human postmortem brains.
Local semi-supervised approach to brain tissue classification in child brain MRI
Most segmentation methods in child brain MRI are supervised and are based on global intensity distributions of major brain structures.
Amplifying the Neural Power Spectrum
We introduce a novel method that employs a parametric model of human electroen-cephalographic (EEG) brain signal power spectra to evaluate cognitive science experiments and test scientific hypotheses.
NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales.
