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When recurrent excitation was present, synaptic weights between E cells followed the connectivity profile in which the strongest connection was between cells that were close to each other in network space and the weights between E and I cells were generated either according to synaptic profiles from Figure 1B or the E-I connectivity was uniform with a probability of connection of 0.1.
This is revealed by a comparison between the localization of their connections within their own community and their global connectivity profile over the entire network.
Thus, the network model consists of randomly connected populations; the neurons do not exhibit a lateral connectivity profile.
The plot above the chain shows the connectivity profile, highlighting the exponential decay and the asymmetry between feedforward and feedback connections.
The within-network connectivity profile was typified by decreased connectivity within two external processing networks (auditory/language and ventral attention).
An exception to this trend was observed with respect to the within-network connectivity profile, whose "precocious" expression during early development predicted superior cognitive functioning.
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Hence, these results show that the strength of connection makes an important contribution to defining the connectivity profiles of these areas, despite the high variability of the strengths of the weakest projections.
This prediction disregards the possibility that mechanisms may exist which preferentially mediate connections of one direction over the other, thus leading to asymmetric connectivity profiles.
As it says in the report, "functional connectivity profiles can be used to preduct the fundamental cognitive trait of fluid intelligence in subjects".
Similarly, the continuous symmetric connectivity profiles used in PDE-based models are completely unable to match up with the well-known macroscopic connections of the brain [20].
For each illness, specific regions emerged as critical network "epicenters" whose normal connectivity profiles most resembled the disease-associated atrophy pattern.
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