Using transcranial magnetic stimulation and network control theory, researchers have taken a novel approach to understanding how signals travel across the brain's highways and how stimulation can lead to better cognitive function.
How does your brain decide what to do in a threatening situation? A new paper published in Nature describes a mechanism by which the brain classifies the level of a threat and decides when to escape.
A team of researchers at EMBL have expanded Alan Turing's seminal theory on how patterns are created in biological systems. This work, which was partly done at the Centre for Genomic Regulation (CRG), may answer whether nature's patterns are governed by Turing's mathematical model and could have applications in tissue engineering. Their results have been published on June 20 in Physical Review X.
In a new study in Science Advances, researchers describe a way to quickly sift through thousands of hours of field recordings to estimate when songbirds arrive at their Arctic breeding grounds. Their research could be applied to any dataset of animal vocalizations to understand how migratory animals are responding to climate change.
A new computational tool will potentially help geneticists to better understand what makes a human a human, or how to differentiate species in general, by providing more detailed comparative information about genome function.
In many species, including humans, the young are often more susceptible to infection than adults, even after accounting for prior exposure to infection. From an evolutionary perspective this may seem puzzling, as dying young or becoming infertile due to infection means organisms will be unable to reproduce. However, new research from the University of Bath suggests that many species may have evolved to prioritise growth over immunity while maturing.
When it comes to understanding what makes people tick -- and get sick -- medical science has long assumed that the bigger the sample of human subjects, the better. But new research led by the University of California, Berkeley, suggests this big-data approach may be wildly off the mark.
In a pair of upcoming conference papers, MIT researchers describe a machine-learning algorithm that can register brain scans and other 3D images more than 1,000 times more quickly using novel learning techniques.
An international team of scientists have predicted a new superhard material that can be used in drilling, machine building and other fields. The new tungsten boride they discovered outperforms the widely used 'pobedit' ? a hard tungsten carbide and cobalt composite material with artificial diamond interspersing.
In a fusion of mathematics and earth science, researchers in Japan proposed a novel method for characterizing pore geometry in rock, based on persistence diagram analysis and a newly proposed parameter, the distance parameter H. The method represents heterogeneity and differences in rock type more effectively than the conventional method based on velocity distribution, without requiring costly numerical flow simulations, and the results are relatively stable with small changes in pore space.