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The synaptic connectivity matrix represents synaptic connections between 71 neurons and 8 effectors.
The degree of a given region characterized where each connection is counted once in the unweighted connectivity matrix.
This produced a connectivity matrix that is representative of the research effort devoted to connecting pairs of concepts.
Fig. 8 Oscillations persist despite randomness in the connectivity matrix.
The simplest way is to construct a binary connectivity matrix.
Also, Fig. 12 illustrates the connectivity matrix and cluster crossing curve of classified feature vectors.
After distance-sensitive ordering, cluster structure is shown in the diagonal block structure of connectivity matrix.
Next, we apply Theorem 3 to the connectivity matrix given by (126).
The random connectivity matrix A is the same as in panel C.
The connectivity matrix plays a central role in analysis and design of tensegrity structures.
A linear summation regime will ensure the full benefit of a distributed connectivity matrix.
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