Abstract
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.
Original language | English |
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Journal | Neurocomputing |
Volume | 44 |
Pages (from-to) | 943-949 |
ISSN | 0925-2312 |
DOIs | |
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
Conference | Computation and Neural Systems Meeting 2001 |
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Number | 10 |
City | San Francisco and Pacific Grove, California, USA |
Period | 01/01/2001 → … |