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Similarity and scaling assessments are based on geometric and topological information represented within adjacency relation matrix (ARM).
That is, once the input signal has been translated slightly, its wavelet coefficients are not the translated versions of the original wavelet coefficients, and the information represented within a wavelet subband of the translated signal is not the same as that in the original wavelet subband.
Another pertinent question relates to the fact that much of our current understanding of the nature of the information represented within the lateral prefrontal cortex comes from the non-human primate electrophysiology literature.
Given these alternative hypotheses, it is of special interest to contrast the information represented within the ventral temporal cortex with that represented in the lateral temporal cortex, and to examine the issue at a more precise resolution in time and frequency.
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However, successful decoding from focal hippocampal fMRI signals would have significant implications for understanding how information is represented within neuronal populations in the human hippocampus and for appreciating fundamental properties of the hippocampal population code.
In freely-navigating animals, hippocampal context information is represented within a spatial framework (Nadel and Wilner, 1980; Mizumori et al., 1999, 2000; Nadel and Payne, 2002; Mizumori et al., 2007; Mizumori, 2008a,b 2008b).
The first hypothesis - derived primarily from the findings of non-human primate single unit recording - relates to the type of information that is represented within the frontoparietal network.
Location information represents a current specific location or track within a certain time of the user.
Indeed problems of information represent a fundamental change in the prevailing paradigm within economics; they are central to understanding political economy.
More specifically, entropy information represents the randomness and information content.
They have to give information, represent intonation, timing, pace, inflection.
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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