With a four-year, $2.7M NIH grant, Hopkins researchers are developing an AI-powered imaging system that can capture brain activity 20 to 50 times faster than current tools ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Abstract: With the advent of modernization, it is inevitable from various sources that there is a significant increase in the energy demand. In order to efficiently meet this demand, we need to ensure ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Researchers at the VIB-UAntwerp Center for Molecular Neurology have visualized how brain network development is altered in a model of KCNQ2-related developmental and epileptic encephalopathy, a rare ...

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Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Motion graphics background with stream of multicolor neon glow lines form digital 3d space. Connection concept. Visualization of neural network operation, multiple calculations of various branches. 4K ...

Abstract: The scientific visualization images (SVIs) of sea surface temperature (SST) play a pivotal role as visual resources for investigating oceanographic processes. However, they are often plagued ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...