Back to search

Article

Hardware-Efficient Compression of Neural Multi-Unit Activity

2022-03-28

Abstract excerpt

Brain-machine interfaces (BMI) are tools for treating neurological disorders and motor-impairments. It is essential that the next generation of intracortical BMIs is wireless so as to remove percutaneous connections, i.e. wires, and the associated mechanical and infection risks. This is required for the effective translation of BMIs into clinical applications and is one of the remaining bottlenecks. However, due t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b394ea05-23f8-5d85-b90d-4d052648321d
DOI
10.1101/2022.03.25.485863
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Hardware-Efficient Compression of Neural Multi-Unit ActivityDOI 10.1101/2022.03.25.485863
Select a neighboring publication to make it the new centre.