Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Adapting to new visual environments is crucial for an organism’s survival in its environment. This ability is well exemplified by visual perceptual learning (VPL), which is defined as long-term ...

Adrian de Wynter is an AI scientist at Microsoft and a researcher at the University of York. In addition to studying the ...

Speech perception is fundamental for human communication, but its neural basis is not well understood. Furthermore, while modern neural networks (NNs) can accurately recognize speech, whether they ...

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...

Implying chatbots have some kind of consciousness may just be a good marketing ploy by the companies involved.

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

A positive face-to-face conversation between a mother and her child can temporarily align their neural activity even after ...

Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their ...

Axons in the thalamus (pink) extended toward the cortex, while those in the cortex (green) extended toward the thalamus at 14 days post-fusion. A Japanese research team has successfully reproduced the ...

A recent publication in Nature Machine Intelligence really got me thinking. In this study, researchers created an artificial system that not only simulates but also behaves like our brain. This ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...