Back to search

Article

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

2020-05-08

Abstract excerpt

Biological motor control is versatile and efficient. Muscles are flexible and undergo continuous changes, requiring distributed adaptive control mechanisms. How proprioception solves this problem in the brain is unknown. The canonical role of proprioception is representing the body state, yet we hypothesize that the proprioceptive system can decode high-level, multi-feature actions. To test this theory, we pursue...

Topics

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

Identifiers and source

Literature Corpus work
b61aea48-6fa9-5851-9d09-29ea5dc0d505
DOI
10.1101/2020.05.06.081372
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.
Contrasting action and posture coding with hierarchical deep neural network models of proprioceptionDOI 10.1101/2020.05.06.081372
Select a neighboring publication to make it the new centre.