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, ...

In a recent study published in Nature Communications, researchers performed high-resolution, micro-electrocorticographic (µECoG) neural recordings for speech decoding to improve speech prostheses.

This study develops an electrocorticography (ECoG) device named NeuroCam, which boasts up to 4096 recording channels with only 128 leads for signal fan-out, supporting large-scale manufacturing. This ...

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 ...

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.

Walking simulation that accurately changes velocity in response to an input target velocity (vxtar) using a musculoskeletal model that mimics a human. The existing reflex control framework could not ...