Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and ...

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work ...

Concepts encoded by concept neurons can be an animal, an article of clothing, a place, or a person. The concept can be evoked ...

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure ... A model neuron is referred to as a threshold unit and ...

Neuron-inspired processing is used by living computers to create more rapid, smarter, and more environmentally friendly ...

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and ...

The brain's ability to process information is known to be supported by intricate connections between different neuron populations. A key objective of neuroscience research has been to delineate the ...

Unlike traditional neural networks, which require extensive ... Inspired by how the brain works, RC uses a fixed network structure but learns the outputs in an adaptable way.

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...

In 1906, pathologist Camillo Golgi and neuroscientist Santiago Ramón y Cajal won the Nobel Prize for their work on the structure ... networks in an intact mouse brain to give us a very quantitative ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed ...