Sentence examples for probability of connectivity from inspiring English sources

Surprisingly, none of the NGFCs tested received excitatory input from L2/3 pyramidal neurons (68 connections tested), whereas L2/3 pyramidal neurons had a high probability of connectivity with FS cells (0.35, 7/20 connections tested, significantly different from L2/3 Pyr-NGFC ratio, P < 0.001, Fisher's Exact test, and from L2/3 Pyr-c-AC and L2/3 Pyr-BS ratio, P < 0.05, chi-squared test).

Building from these developments, we modify a recent index and present the equivalent connected area (ECA) index, defined as the size of a single patch (maximally connected) that would provide the same probability of connectivity than the actual habitat pattern in the landscape.

Suppose that p1 was the probability of connecting any two nodes in a random network with n nodes, the probability of connectivity of equal or larger than t was as follows: p (x ≥ t ) = 1 − p (x < t ) = 1 − ∑ k = 0 t − 1 λ k e − λ k !, where λ = n × p1; p1 was estimated using the number of links in the constructed disease-specific gene network divided by the number of all possible links.

To measure connectivity, we used the probability of connectivity index (PC).

Then, the route with maximum probability of connectivity will be denoted as pmax.

Then, we applied two habitat availability indices (integral index of connectivity and probability of connectivity) attending to different dispersal distances.

The uncertainty of three patch connectivity indices (Integral Index of Connectivity, Probability of Connectance and Flux) became high above a habitat size of 5 ha.

Inter-location probabilities of connectivity varied between 10−59 10−5, and we arbitrarily applied a threshold for inclusion in the network graph at 10−20.

We compare the posterior probabilities of connectivity for each gene pair across two disease states, expressed as a posterior odds-ratio (postOR) for each pair, which can be used to identify network components most relevant to disease status.

Anatomical studies delineated the strength of connections, the probability of finding connectivity, and the local schemes that help to define the VI microcircuit [16], [17], [18].

Let λ have some probability density given by f, then we can define the integral The integral defines a new function p(k) describing the probability distribution of connectivity k, allowing for the rate of attachment to vary among proteins.