Back to search

Article

At-Home Movement State Classification Using Totally Implantable Bidirectional Cortical-Basal Ganglia Neural Interface

2025-03-12

Abstract excerpt

<title>Abstract</title> <p>Movement decoding from invasive human recordings typically relies on a distributed system employing advanced machine learning algorithms programmed into an external computer for state classification. These brain-computer interfaces are limited to short-term studies in laboratory settings that may not reflect behavior and neural states in the real world. The development of implantable de...

Topics

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

Identifiers and source

Literature Corpus work
5fb9a054-cc5c-5cd4-9ea5-65ec0a03df4c
DOI
10.21203/rs.3.rs-6058394/v1
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.
At-Home Movement State Classification Using Totally Implantable Bidirectional Cortical-Basal Ganglia Neural InterfaceDOI 10.21203/rs.3.rs-6058394/v1
Select a neighboring publication to make it the new centre.