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The brain network can be defined by a connection matrix (a graph theory concept), also called a connectome [26].
Changes in such regulatory influence are often represented as changes to values in a connection matrix (e.g. [9]).
Architecture of the network is represented by a connection matrix cj→i where cj→i = 1, −1 and 0 indicate positive (a red arrow in Fig. 2A C), negative (a blue arrow), and no regulation, respectively.
What constitutes a single step on the adaptive landscape is now significantly different than a model that directly connects or disconnects the regulatory interactions by adding or removing an edge or changing the weight in a connection matrix.
We study linear neural networks endowed with a connection matrix W (j,k) ('Methods', Equation 9), which denotes the weight of connection from node k to node j.
Transcriptional targeting of the 82 TFs to the 5169 genes was represented as a connection matrix, M, in which Mij = 1 if TF j targets gene i and Mij = 0 in the absence of such targeting (Additional file 5).
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One disadvantage of the proposed scheme is the difficulty involved in the flexible control of a Tx connection matrix excepting a case of M = 2, as compared to a path-controlled configuration (FE-1).
Similarly, a short CIR will result in a sparse connection matrix, where the HNN MLSE equalizer will converge slower while yielding less optimal maximum likelihood sequence estimates.
The individual functional connectivity graph was stored as a weighted connection matrix before clustering.
In fact, in the process of the electronic circuits' applications, assuring a constant connection matrix and delays is unrealistic.
Following resolution of redundant and inconsistent results a binary connection matrix with N = 47 and K = 505 was generated.
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