Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
When repeated for every possible pair of regions, the result is a network characterization of the brain's connectivity, in which brain regions represent network nodes and correlation strengths correspond to connection weights [ 1, 2].
Similar(58)
Identified gaps corresponded to connections not documented by any study, i.e. null values in the connectivity matrix (Table 2) (tenth percentile of the connectivity values = 0.00).
Note for convenience, we refer to r as the connection length, where negative values correspond to ascending connections and positive values correspond to descending connections.
Cellular function depends upon a dynamic protein-DNA interactome, where disease states may correspond to aberrant connections or missing links within this network [100].
Furthermore, these tangential pathways might correspond to intrastriate connections running tangentially within the cortex.
The directed edges of the FIN correspond to directed connections between nodes, based on the FLN.
Henceforth, any renormalizing effect of the electronic system on the photons and phonons is neglected, i.e., the coupling to the bosons corresponds to the connection to corresponding equilibrium reservoirs.
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.
Furthermore, the TCM elements equal to zero either correspond to an existing connection (a non zero value in the SWM), called False Negative (FN), or they correspond to a null element, called True Negative (TN).
Note that DCM allows one to make inferences about changes in effective connections between areas, which do not necessarily correspond to direct anatomical connections but may be via intermediary regions.
where v = v β α t − 1 k and this corresponds to the connection weight of neuron β of the k th layer, and the subscript (t − 1) classifies the previous instant weights.
Write better and faster with AI suggestions while staying true to your unique style.
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