Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

A new study reveals how biological branching networks use surface geometry to shape blood vessels, brains, and plants.

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

Neuronal network dynamics and electrophysiology encompass the study of how networks of neurons communicate, adapt and process information through electrical signals. This field integrates insights ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the ...