Name
Abstract | ||
|---|---|---|
The tradeoff between speed and accuracy of human movements has been exploited from many different perspectives, such as experimental psychology, workspace design, human-machine interface. This tradeoff is formalized by Fitts' law, which states a linear relationship between the duration and the difficulty of the movement. The bigger is the required accuracy in reaching a target or farther is the target, the slower has to be the movement. A variety of computational models of neuromusculoskeletal systems have been proposed to pinpoint the neurobiological mechanisms that are involved in human movement. We introduce a neurocomputational model of spinal cord to unveil how the tradeoff between speed and accuracy elicits from the interaction between neural and musculoskeletal systems. Model simulations showed that the speed-accuracy tradeoff is not an intrinsic property of the neuromuscular system, but it is a behavioral trait that emerges from the strategy adopted by the central nervous system for executing faster movements. In particular, results suggest that the velocity of a previous learned movement is regulated by the monosynaptic connection between cortical cells and alpha motoneurons. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s00521-019-04690-z | NEURAL COMPUTING & APPLICATIONS |
Keywords | DocType | Volume |
Human movement,Speed-accuracy tradeoff,Fitts' law,Neurocomputational model | Journal | 32.0 |
Issue | ISSN | Citations |
17 | 0941-0643 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Parziale | 1 | 25 | 5.66 |
| Rosa Senatore | 2 | 13 | 2.89 |
| Angelo Marcelli | 3 | 139 | 32.42 |