The goal of this paper is to increase the statistical power of crossing-fiber statistics in voxelwise analyses of diffusion-weighted magnetic resonance imaging (DW-MRI) data. In the proposed framework ...

In order to understand the structure and functioning of the brain, neuroscientists need to study the complex, three-dimensional pathways and connections of nerve fibers. The intersection of ...

An accurate and realistic brain tissue deformation model with real-time performance is very important for virtual neurosurgical simulation. In this paper, a new finite element method (FEM) brain ...

Brain drain at OCC raises concerns about US model supervision Quant team cull will reduce capacity to validate bank models, but that could be part of the plan ...

This produces light intensity profiles that reveal the underlying brain tissue structure and thus the crossing of nerve fibers. A combination of both methods in a single device would offer decisive ...

Carbon fiber-reinforced plastics (CFRPs) are widely used materials with outstanding mechanical properties. The wettability between the polymer matrix and carbon fiber in the interphase region ...

Half a thousand brain cells have been identified as 'culprits' in the ... often in response to specific stimuli. Using a special mouse model designed to label and manipulate neurons that are activated ...

POSTECH researchers 3D print human brain model - guiding the axonal growth of neurons using the Bioengineered Neural Network (BENN).

(2) An Auto-EEG-Brain AGE prediction model based on the Gate Recurrent Unit (GRU) neural network method was constructed. (3) Using the constructed model, we evaluated the difference between the brain ...

Abstract The lifelong acquisition of cognitive skills shapes the biology of the brain. However, there are critical periods for the best use of the brain to process the acquired information. Objectives ...

Under these conditions, the brain gives credence to an internal model of the physical world in which a downward moving object should accelerate 3, 4.