Name
Title | ||
|---|---|---|
A computational approach to detect a mete-learning of the cortical basis function during a motor adaptation study |
Abstract | ||
|---|---|---|
A process for one to adapt to a new environment has been considered as a combination of multiple update systems where each of them has a different time constant. We define the fast system as the adaptive system to minimize error and the slow system as the meta-adaptation that modulates the meta-parameters that might influence the property of the adaptation. Specifically, we considered that a shape of the basis function of the adaptive system that influences abilities of motor adaptation is essential meta-parameter. Here, we hypothesised that the human brain modulated this meta-parameter during motor adaptation depending on the environment and discussed a method to detect this adaptability of the basis function. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MHS.2015.7438244 | 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS) |
Keywords | Field | DocType |
computational approach,mete-learning,cortical basis function,motor adaptation study,multiple update systems,meta-parameters,human brain | Adaptability,Adaptive system,Computer science,Control engineering,Basis function,Artificial intelligence,Time constant,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daichi Sasaki | 1 | 0 | 0.34 |
| Jun Izawa | 2 | 2 | 1.88 |
| Masahiko Morita | 3 | 20 | 2.72 |