A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

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 ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

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 ...

The study offers valuable insights into how sensory cues are processed and information moves through the neuronal network, opening new pathways to a deeper understanding of the mammalian brain. Study: ...

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 ...

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

“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 ...