The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Artificial intelligence (AI) and computational modeling are transforming the landscape of neuroscience, offering unprecedented opportunities to detect, ...

Using human cells and cutting-edge technology, the team created a three-dimensional (3D) model that accurately simulates the ...

Abstract: Objective: Computational models of the brain are typically validated using individual subjects from datasets of brain motion, but a comparison to an individual subject does not consider the ...

BraDiPho (Brain Dissection Photogrammetry) is an innovative tool for the study of white matter connections in the human brain. The realistic map was developed by a group of researchers from the ...

Advancing neurological disorder research requires model systems that more accurately reflect the human brain. 3D cell cultures, such as organoids and spheroids, have emerged as game-changers by better ...

Abstract: Effective segmentation of brain tumor from MRI scans is crucial for clinical diagnosis. However, deep learning models prioritize either local or global features, failing to adequately ...

The technique involves placing ultra-fine electrodes inside the brain with the aid of an advanced robotic system to record neural activity across multiple regions. These signals are used to construct ...