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These data suggest maximization of information transmission per energy used as a synaptic design principle.
However in some cases there are goals which compete against the maximization of information, such as the need to preserve privacy.
This review has focused upon the concept of maximization of information, which is extremely important if we are to move our understanding of the brain forward.
Along with the simulated spatiotemporal brain activity near or at the critical point, brain functionality in RSNs encountered the maximization of information processing, taking into account the input sensitivity and dynamic range of activity patterns [ 26, 73].
Together with previous results recognizing that energy use is a significant constraint on neuronal function [ 6, 7, 21, 25, 26, 27], our data suggest maximization of information transmission per energy used is an important functional principle in the brain.
The original method of scaled quantile we propose here in order to properly manage data derived from platforms with different number of analyzed genes, has proven to be effective, allowing maximization of information that can be extracted from all pertinent available data.
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A continuum regularization of the network is carried out by balancing the maximization of the information entropy corresponding to the nodal data, with the minimization of the total width of the shape functions.
In this manuscript, a strategy is presented that focuses on the maximization of the information retrieve by balancing the use of HT technology and other highly informative but time consuming sources.
The construction of run orders that are optimally balanced for time trend effects is based on maximization of the information on the parameters of interest whereas the parameters of the postulated time trend are treated as nuisance parameters.
By taking the impact of Inter-Cell Interference (ICI) resulting from timing offset into account, the maximization of total information rates is formulated under an uplink scenario with pathloss and Rayleigh fading, subject to maximum power constraint as well as mutual interference constraint between primary user (PU) and secondary user (SU).
To derive spatial mappings between structural (MR) and functional (PET) imaging data, the integrated 15O-water and 18F-FDDNP PET image data were separately co-registered to MR images using a 6-parameter rigid-body transformation and maximization of mutual information [34].
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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