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(D ) All weights are standardised to the baseline partial connectivity of each connection.
Error bars represent 1 s.e.m. (D ) All weights are standardised to the baseline partial connectivity of each connection (grey lines).
The nodes of the neural network are fully connected, where each connection is parameterized by a real-valued weight θ.
The degree of a given region characterized where each connection is counted once in the unweighted connectivity matrix.
Each connection in the neural network assigns weights and layers and are connected by transfer functions.
Second, DCM can measure how each connection is modulated by an experimental factor (i.e., context-dependent connectivity).
Each neuron has a variable connection strength and each connection has a threshold.
That is a status not bestowed at conception but earned with each connection made and word spoken.
The graph in Graph Search is Facebook's so-called social graph, the map of each connection between each user.
And each connection performs differently in speed.
Each connection uses a fixed modulation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com