We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...

If you're a student, you may have to use several different software programs for various purposes. Apps for taking notes during class, programs to edit photos for an assignment or word processors to ...

This study presents valuable framework and findings to our understanding of the brain cortex as a fractal object. Based on detailed methodology, the evidence provided on the stability of its shape ...

eDepartments of Physiology and Clinical Neurophysiology, BABA Center, Paediatric Research Center, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland In ...

Explore the lifecycle of programming languages, highlighting their phases of popularity, growth, and decline. Identify the top 10 programming languages that have faded from prominence in the 21st ...

This is an implementation for Matlab of the method introduced by Carsten Allefeld and John-Dylan Haynes, ‘Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA’, NeuroImage, ...

The principal goal of the brain-computer interface (BCI) is to translate brain signals into meaningful commands to control external devices or neuroprostheses to restore lost functions of patients ...

Membraneless organelles are assemblies of highly concentrated biomolecules that condense through liquid–liquid phase separation. One major question in the field is how proteins assemble into ...

Health-monitoring technologies for automatically detecting the early signs of Alzheimer's disease (AD) have become increasingly important. Speech responses to neuropsychological tasks have been used ...

More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, ...