EPFL researchers have built a low-power implantable chip, LogSync, that extracts synchrony biomarkers across brain regions ...

A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...

A new computational model combined with brain imaging data reveals that relying too heavily on prior expectations when ...

Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural networks can learn to recognize images, use language or write computer code.

A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at ...

In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

Assistive algorithms are widely used in brain-computer interfaces (BCIs), but their effects on neural representations remain unclear. Here, the authors show that adaptive BCIs lead the brain to learn ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...

Researchers used fMRI and EEG scans to observe the brain activity of 63 healthy adults after taking a standardized dose of ...

"I use ChatGPT and AI image generators, but why is AI so smart?" "What is the difference between machine learning and deep learning anyway?"AI is a hot topic in the news and on social media every ...