We define C n ( a, b ) = ( γ, k, m, n, C n ( a, b ) ) and L n ( a, b ) = ( γ, k, m, n, L n ( a, b ) ) as the ring and linear neural networks, respectively, where b is the strength of the connection between a neuron to its counterclockwise neighbor neuron, a is the strength of their opposite direction connection (Figure 1).
Stela 26 is aligned with Itzam K'an Ahk II's Stela 35, creating a direction connection between the two monuments, conveying "an image of continuity, repetition, and renewal over time and across generations".
"Expressly having a conversation about how to offset the cost of this war -- through a reduction in spending or an increase in revenue, or both -- will help Americans have a more direction connection to the conflict and an awareness of its impact, not just in terms of our spending, but our steadily growing national debt," he said.
Different from the common unstructured grid, the connections in our LGR algorithm are divided into two types: x-direction connections (marked in red in Fig. 5) and y-direction connections (marked in blue in Fig. 5).
So now, by choice of an observable O, there is a direct connection of directions in space with directions in H3: orthogonality in H3 now does correspond to orthogonality in physical space.
Indirect methods of assessing cortical connectivity using diffusion imaging and resting state functional connectivity are insensitive to the direction of connections and are limited in estimating the weight of the underlying anatomical connections (Hagmann et al. 2008).
To describe the network as a whole, the first measure of interest was network density, or the proportion of possible relationships between members that were realized, which described the extent to which network members are connected, regardless of the direction of connections [ 26].
The MAR model was fitted to the data to specify the direction of connections, and the RPC quantifies the strength of connections.
All three layers are connected to the subsequent layers in the forward direction; the connections are termed as weights.
The direction of connections in the Bayesian networks was ignored as we consider either direction of a connection to represent the same existence of dependency between two contextual gene sets.
To facilitate the above analyses, we converted FluMap to a binary network by taking the direction of connections while ignoring the type of reaction (catalysis, inhibition etc).
