H. Kato

Journal of Neurophysiology · with Domen · 2002

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom H. Kato trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hirotugu Akaike

Papers from H. Kato's perspective

Ordered by how strongly the researchers H. Kato trusts endorse each paper. Same corpus, a different order for every researcher.

1. A hierarchical neural-network model for control and learning of voluntary movement (Biological cybernetics)
2. The central nervous system stabilizes unstable dynamics by learning optimal impedance (Nature)
3. Signal-dependent noise determines motor planning
4. The co-ordination and regulation of movements
5. Learning of action through adaptive combination of motor primitives (Nature)
6. Adaptive representation of dynamics during learning of a motor task
7. An organizing principle for a class of voluntary movements
8. A new look at the statistical model identification
9. Neural network learning control of robot manipulators using gradually increasing task difficulty
10. Is the cerebellum a smith predictor?

Their papers

• Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. (2002) — 409 citations