Exact(1)
For a given model, DCM estimates 3 different sets of parameters: 1) input parameters that quantify how brain regions respond to external stimuli, 2) intrinsic parameters reflecting the effective or the latent connectivity that characterizes the coupling between regions, and 3) modulatory parameters that measure changes in effective connectivity induced by some experimental conditions.
Similar(59)
More indicators (even in fitting Figure 1 style models) do not necessarily mean better latents, they mean more entrenched latents – where the entrenchment is provided by the indicators, with the possible sacrifice of appropriate latent-level causal connectivity.
The identification and prioritization of latent nodes and edges (connectivity between stimuli, latent nodes and measured nodes) were conducted using various biological pathway databases (e.g. KEGG, Biocarta) and the ensemble network published by Kirouac et al. (2012), embodying the union of several online pathway databases.
These intrinsic connections correspond to the latent (i.e., fixed) effective connectivity in our DCM model.
These latent terms could have limited connectivity in the graph, so as to allow large numbers of latencies to be included without compromising decoding efficiency.
These values represent the latent (i.e., fixed or average) effective connectivity in our DCM model that is present in the system irrespective of the modulatory factor.
We also used a new bioinformatic approach (latent semantic indexing, see Materials and Methods) to illustrate the functional connectivity between multiple CMP-regulated genes.
Therefore, a latent construct with country-level container throughput in TEUs and liner shipping connectivity index is formed.
By following the functional connectivity changes in disease progression and additionally investigating the very early (that is, latent) stage of AD, we may be able to understand the changes that take place during the entire disease trajectory.
The observed connectivity between two cells R(e i, e j ) then depends only on their latent type and their distance through a link function f(⋅, d(e i, e j )).
Model comparison, showing using human-discovered types with and without distance information, as well as our model incorporating just connectivity, connectivity and distance, or connectivity, distance, and synaptic depth (as well as the alternative latent position cluster model, see text).
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