A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

Explore how brain computer interface technology and advanced brain-computer interfaces are transforming digital interaction, ...

Brain age index from sleep EEG predicts dementia risk, offering a non-invasive early marker for identifying high risk ...

A new study suggests that while AI makes tasks easier and faster in the moment, it may quietly weaken our ability to think ...

Highlights: Living rat neurons successfully trained to perform real-time AI computations Structured neuron networks improved learning and reduced synchronization Technology shows strong potential for ...

Meta has introduced TRIBE v2, an AI system designed to predict human brain activity using fMRI scans. Trained on brain data from over 700 volunteers, the model analyses how the brain responds to ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

Wavelet Medical and Aegis Ventures have partnered to co-create and scale the first no | The device detects fetal brain ...