Researchers at Waseda University used EEG to map brain activity during thermal perception, identifying ten cortical regions ...

In structural MRI, the signal-to-noise ratio is critical. Discover how denoising algorithms can help to obtain clearer ...

Understanding and predicting individual responses to common stressors is essential for optimising performance in high-stress ...

Today, we are privileged to have Alastair Monte Carlo, CTO, Futurist, and a board member of The Singularity Initiative, ...

To survive in complex and unpredictable environments, humans and other animals need to learn to predict the consequences of ...

NEVACS uses event cameras and neural networks to analyse cells dynamically, reshaping diagnostics and research.

Researchers have developed a breakthrough method to detect inflammation in the body using positron emission tomography (PET) imaging. This innovative probe targets CD45, a marker abundantly expressed ...

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

Mackie and colleagues present a valuable comparison of lateralized gustation in two well-studied nematodes. The evidence they present that ASEL/R lateralization exists and is achieved by different ...

Psychiatric disorders often overlap and can make diagnosis difficult. Depression and anxiety, for example, can coexist and ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the ...

In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...