Sentence examples for estimated connection from inspiring English sources

Thus, each method is associated to a matrix, the Connectivity Matrix (CM), whose elements (X, Y) correspond to the estimated connection strength between neuron X and Y. High and low values in the CM are expected to correspond to strong and weak connections.

The absolute values of the estimated connection coefficients represent the topology of the reconstructed MAPK pathway.

The estimated connection probabilities at 90% confidence intervals for FSIs and NFSIs were 0.30 0.57 and 0.15 0.27, respectively (Brown et al., 2001; Supplementary file 1).

We compute estimated connection probabilities p mr between all possible combinations metabolite-reaction as (3) where k m is the degree of the metabolite and μ = 1/ R ensures that network realizations with these connection probabilities have the same number of links as the observed network.

The applicability of the presented method is evaluated, and it is shown that the model has the potential to estimate connection moment rotation behavior under combined axial tension and moment loading.

In the context of neuroimaging, DCM is most often used to infer causal interactions between regions of neural activity, and to estimate connection strengths between these nodes.

It relies on a link prediction method adjusted to the observations that exploits the statistical regularities of the empirical network to estimate connection probabilities, that afterwards are integrated at the level of reactions.

Working with a database of 32 visual areas, Felleman and Van Essen (1991) estimated a connection density of 30 45% (i.e., of the total possible connections, there was evidence that 30 45% actually exist).

We observe that the estimated absolute connection probabilities are different for both maps, but exhibit a similar structure: Recurrent within-layer connections are all nonzero with the densest connectivity in superficial layers.

We also estimated the connection distance between each pair of brain regions by measuring the Euclidean distance between their centroids in stereotactic space.

In this work, we used a well-established (if simplified) model of the functional architecture of the motor cortico-striato-thalamic loop and estimated which connections, or combinations of connections, are modulated by STN-DBS to produce the observed BOLD signal recorded at rest.