The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

A group of researchers led by Prof. LI Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences reveals that the balance between habitual and goal-directed decision-making ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of acquiring new skills or adjusting behaviors in response to positive outcomes ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Ask ten people how large language models work, and you’ll ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

Add Yahoo as a preferred source to see more of our stories on Google. New research shows that AI systems learn better when trained with inner speech and working memory models inspired by the human ...

The largest fMRI study to date finds that heavy cannabis use in young adults reduces brain activity and impairs working memory performance.