Through brain implants, neural interfaces and skin grafts, researchers are starting to restore sensation for paralysed or ...

Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...

An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City ...

The brain is a marvel of efficiency, honed by thousands of years of evolution so it can adapt and thrive in a rapidly ...

Here are some great "life hacks" to find flow when the metaphorical faucet of imagination seems to have been turned off.

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Computer vision is normally unable to simulate psychological and neurological aspects of human vision, including our ability ...

In a recent study published in Nature, researchers used advanced brain imaging techniques to explore how certain brain networks differ in people with depression. They discovered that a specific brain ...

Biological neural networks (BNNs), Burger argues, have potential advantages that "include significantly lower energy consumption" – he notes that the human brain operates on only about 20 watts – ...

This valuable study investigates how the size of an LLM may influence its ability to model the human neural response ... We found that model-brain alignment improves consistently with increasing model ...