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Ramsey (1997) argues that though we may attribute symbolic representations to neural nets, those attributions do not figure in legitimate explanations of the model's behavior.
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For further explanation of the model structure, sample instance level diagrams illustrating some typical situations are also included.
Models should be as transparent as possible, in terms of the explanation of the model, its subsequent use, and the clarity of the result.
Furthermore, the short explanation of the model characteristics above provides a better placement for the upcoming argumentation of the different models.
The explanation of the model is provided by returning the most relevant structures to the prediction [12] providing a similar interpretation to that of Stanton.
Although these feature networks allow for direct navigation a method of summarisation has been developed to provide a succinct and meaningful explanation of the model's behaviour for a given query.
The structure of the paper organised with a conceptual basis that includes evidences from cognitive neuroscience which followed with a model description in which a detail explanation of the model together with its mathematical basis and formal specification will be presented.
This would be due to intrinsic properties of oscillatory systems, as cortical neural systems tend to be (see ref. 14 for a full explanation of the model).
Before you submit your revised paper please include a thorough explanation of the model and provide additional data.
A further explanation of the model (see Figure 7) shows how the translocation process is affected by the various cross-links (Supplementary Figure S2).
Brief explanation of the model presented by McCairn et al. Yes, this used bicuculline injected into the putamen or nucleus accumbens; we have added this to the manuscript.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com