Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

The human brain is remarkable for its ability to synthesize sensory inputs into a coherent perception of the external world.

This facility is designed to support the usage and analysis of data from a variety of structural and functional neural imaging technologies and techniques, including magnetic resonance imaging (MRI), ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

A new study has revealed how both recent and lifetime cannabis use can affect cognitive function and working memory.

A new study published today in JAMA Network Open explores the effects of both recent and lifetime cannabis use on brain ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a better-performing algorithm than earlier approaches in TopSpin and ...

In this rapidly growing digital world, groundbreaking research published in the International Journal of Scientific Research ...

Dissecting how the brain works is tricky. Genetic engineering techniques allow researchers to tag neurons of interest with fluorescent markers that glow upon neural activation, but capturing those ...

Key focus areas within Biomedical Imaging include Optical Imaging, Neural Sensing, Computational Modeling, and Simulation. Research in biomedical imaging is dedicated to pushing the boundaries of ...

Changes in neural activity were modeled as square-wave ... partial out variance due to differences in mean intensity between imaging runs and linear changes in intensity within runs.