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

Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have demonstrated remarkable capabilities in image and natural language understanding. Although scaling up ...

The development of effective interventions for neurodegenerative disorders, such as posterior cortical atrophy (a visual Alzheimer’s variant), remains to be a significant clinical challenge. We ...

Research published in Nature has revealed that neural computations in different individuals can be implemented to solve the same decision-making tasks, even when the behavioral outcomes appear ...

Neural circuits associated with three cortical regions in cognitive generalization with different manifestations from different species. (A) Emotionrelated brain regions mainly project to PFC and OFC; ...

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

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...

Combining large language models with traditional methods enhances accuracy in identifying early signs of cognitive decline, offering new hope for early diagnosis. Study: Enhancing early detection of ...

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

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...