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Furthermore, we expect that with a delay between the learning phase and recognition tests, performance will remain stable after the multisensory training method and decrease for the classic one, according to time-dependant consolidation found in some motor memory tasks [36] and the standard forgetting curve in the visual memory.
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Although it works only on single-layer models, ELM can out-perform the BP algorithm by reducing the communication required between parties in the learning phase.
Inferential statistics confirmed no pre-existing differences between groups in the learning phase, before commencing rTMS (data not shown).
Importantly, we did not expect any differences between the groups in neither the learning phase nor the devaluation phase of the ILT.
Predictably, not taking into account interactions between criteria decreases significantly the efficiency of the learning phase.
However, there are relevant differences between the various centres for duration of the learning phase, criteria for patient selection and some technical aspects.
The different time-courses and scalp distributions of the P2/N400 effects across the learning phase suggested a possible functional dissociation between the two components.
Taken together, these results demonstrate that the birds learned to discriminate between undefended and defended prey and were at asymptotic performance by the end of the learning phase (see Fig. 1).
This task consisted of three phases: the learning phase, the devaluation phase, and the slips-of-action phase.
Reaction times were analyzed for the learning phase only.
In the learning phase, the objective function minimizes the number of misclassified patterns from training data and reduces the conflicts between the rules to generate the pattern partition.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com