The contrasting relationships of these two elements with salinity make their combined use a potentially powerful way to discriminate movement across a range of salinities.
As regards the smoothness of movement, quantified by NMUs, it has appeared to be a very important parameter to discriminate movement quality between stroke patients and healthy subjects, as previously observed by Murphy.
"Future works could apply some feature selection algorithm and train the multimodal control unit in discriminating movements based on the multimodal input.
We have added the following sentence to the Discussion: " The way such a problem would be solved by the current BCI-community is a classification by use of machine learning techniques i.e., you apply some feature selection algorithm and train your machine in discriminating movements based on the multimodal input.
We have added the following sentence to the Conclusion: "The way such a problem would be solved by the current BCI-community is a classification by use of machine learning techniques i.e., you apply some feature selection algorithm and train your machine in discriminating movements based on the multimodal input.
The way such a problem would be solved by the current BCI-community is a classification by use of machine learning techniques i.e., you apply some feature selection algorithm and train your machine in discriminating movements based on the multimodal input.
Consistent with an effector-specific coding of hand- and tool-related movements we found that preparatory signals in SPOC and EBA differentiated upcoming movements of the hand only (i.e., hand-specific) whereas in SMG and pMTG they discriminated upcoming movements of the tool only (i.e., tool-specific).
It discriminated all six movement measures when controlling for medication.
At the effector-specific level, we found that SPOC and EBA discriminated upcoming hand movements only whereas SMG and pMTG discriminated upcoming tool movements only.
Signals were counted manually discriminating between processive movement, corralled movement (covered distance of hypha per 22.5 s < 5 μm; rapid changes of direction), or static signals (no movement, straight line).
