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Here we show that spatiotemporal CNNs accurately categorize video stimuli into action classes, and that deliberate model modifications that improve performance on an invariant action recognition task lead to data representations that better match human neural recordings.
Furthermore, the present approach can be combined with existing tools in order to find a set of model modifications that solves the inconsistencies and thus improves model's predictions.
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Therefore, we need a case-based model modification scheme that can generate the required formulation from the semantically specified requirement in the agent communication language.
The second model is related to modifications that may or may not be applicable to the pre-existing solution.
The model has a number of modifications that make it more amenable to potential integration into a wavelet-based image compression scheme.
After its introduction in 1952, the model went through a variety of modifications that culminated in the classic, Standard, or Sunburst in 1958.
In fact, the model has shown flexibility through introducing modifications that allow workers to increase their benefits.
Transgenic brain tumour models, involve germline or somatic genetic modifications that predispose animals to developing CNS tumours [ 23- 25].
Therefore, we added four post-hoc modifications that were theoretically justified and improved model fit.
Modifications that were made to the measurement models are described in the following section.
Several minor modifications that resulted from further development of the model were introduced.
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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