The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

In the past, when researchers modeled quadruped gaits — how four-legged organisms walk, run and move — gaits have been ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Incidence trends, demographic disparities, and survival outcomes of gastrointestinal malignancies in young adults: A focus on stomach and pancreatic cancers. Safety and efficacy of first-line ...

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks. It's easy to think that machine learning is a ...

Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...