The functional importance of gamma-motoneuronal activation during a simple movement task was explored using a computational model of a simplified neuromuscular system, Various schemes of gamma-motoneuronal activation were tested under different task conditions. Analysis of the simulation data lend support to the idea that gamma-motoneuron activity might be essential for cancelling expected stimuli rather than only for programming servo-controlled equilibrium positions of the limbs. It is concluded that the best performance of a movement is obtained when expected afference is cancelled by gamma-activity, thereby allowing for a relatively pure and "noise-free" detection of unexpected loads.
|Publication status||Published - 2002|
|Event||Computation and Neural Systems Meeting 2001 - San Francisco and Pacific Grove, California, USA|
Duration: 1 Jan 2001 → …
Conference number: 10
|Conference||Computation and Neural Systems Meeting 2001|
|City||San Francisco and Pacific Grove, California, USA|
|Period||01/01/2001 → …|