| Autor: |
Nicholas F. Hardy, Vishwa Goudar, Juan L. Romero-Sosa, Dean V. Buonomano |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-018-07161-6 |
| Popis: |
Humans can perform complex motor movements at varying speeds. Here, the authors show that a recurrent neural network can be trained to exhibit temporal scaling obeying Weber’s law as well as validate a prediction of the model of improved precision of movements at faster speeds. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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