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 ...

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

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 ...

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

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; ...

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 ...

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 ...

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 ...

Genetic likelihood for attention-deficit/hyperactivity disorder directly predicts irregular timing in the brain waves ...