[HTML][HTML] Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij, JBJ Smeets - Biological Cybernetics, 2021 - Springer
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij, JBJ Smeets - Biological Cybernetics, 2021 - dl.acm.org
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

M van Mastrigt Nina - Biological Cybernetics, 2021 - search.proquest.com
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them.

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - search.ebscohost.com
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - pubmed.ncbi.nlm.nih.gov
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

[PDF][PDF] Pitfalls in quantifying exploration in reward‑based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - personal.fgb.vu.nl
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - research.vu.nl
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

[HTML][HTML] Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - ncbi.nlm.nih.gov
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …

Pitfalls in quantifying exploration in reward-based motor learning and how to avoid them.

NM van Mastrigt, K van der Kooij… - Biological …, 2021 - europepmc.org
When learning a movement based on binary success information, one is more variable
following failure than following success. Theoretically, the additional variability post-failure …