One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

A new accelerator chip called 'Hiddenite' that can achieve state-of-the-art accuracy in the calculation of sparse 'hidden neural networks' with lower computational burdens has now been developed. By ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

New research suggests that the electrical complexity of the brain diminishes in early Alzheimer’s disease, potentially signaling a breakdown in the neural networks that support conscious awareness. By ...

CHAMPAIGN, Ill. — Scientists have labored for decades to understand how brain structure and functional connectivity drive intelligence. A new analysis offers the clearest picture yet of how various ...

How useful a memory is for future situations determines where it resides in the brain, according to a new theory proposed by researchers at HHMI"s Janelia Research Campus and collaborators at UCL. The ...

RUDN University mathematician proposed an artificial neural network for solving the queuing theory problems that arise, for example, in computing systems or business processes. Together with classical ...

Here, each neuron is represented as spacecrafts, with their pilots in the cockpits depicted in the shape of protein 3D structures. These spacecrafts collectively process and transmit information to ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.