Brain–machine interfaces (BMIs) represent a transformative field at the intersection of neuroscience, engineering and computer science, allowing for direct communication between the brain and external ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
China, by contrast, is pursuing a state-led coordinated approach that integrates policy planning, clinical validation, and ...
A new study published in this month’s Journal of Neural Engineering demonstrates how a brain-computer interface (BCI) uses artificial intelligence (AI) deep learning to translate brain activity to ...
In a recent study published in Nature Communications, researchers performed high-resolution, micro-electrocorticographic (µECoG) neural recordings for speech decoding to improve speech prostheses.
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This ultra-thin brain implant enables efficient connection of the brain to an AI
How can we interact with computers using only our mind? Existing brain-computer interfaces are often limited by their size and invasiveness, requiring major surgeries and offering low data rates.
Emotions are an important part of human intelligence. Identifying specific emotional categories from complex neural patterns, i.e., the neural decoding of emotional information, is a key issue in ...
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