Senn, Walter; Wyler, K.; Clamann, H.P.; Kleinle, J.; Lüscher, H.-R.; Müller, L. (1997). Size principle and information theory. Biological cybernetics, 76(1), pp. 11-22. Springer 10.1007/s004220050317
|
Text
s004220050317.pdf - Published Version Available under License Publisher holds Copyright. Download (346kB) | Preview |
The motor units of a skeletal muscle may be recruited according to different strategies. From all possible recruitment strategies nature selected the simplest one: in most actions of vertebrate skeletal muscles the recruitment of its motor units is by increasing size. This so-called size principle permits a high precision in muscle force generation since small muscle forces are produced exclusively by small motor units. Larger motor units are activated only if the total muscle force has already reached certain critical levels. We show that this recruitment by size is not only optimal in precision but also optimal in an information theoretical sense. We consider the motoneuron pool as an encoder generating a parallel binary code from a common input to that pool. The generated motoneuron code is sent down through the motoneuron axons to the muscle. We establish that an optimization of this motoneuron code with respect to its information content is equivalent to the recruitment of motor units by size. Moreover, maximal information content of the motoneuron code is equivalent to a minimal expected error in muscle force generation.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology |
UniBE Contributor: |
Senn, Walter, Lüscher, Hans-Rudolf |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics 600 Technology > 610 Medicine & health |
ISSN: |
0340-1200 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Virginie Sabado |
Date Deposited: |
20 Jan 2023 14:34 |
Last Modified: |
30 Jan 2023 23:27 |
Publisher DOI: |
10.1007/s004220050317 |
PubMed ID: |
9050202 |
BORIS DOI: |
10.48350/177423 |
URI: |
https://boris.unibe.ch/id/eprint/177423 |