Exact(5)
To further specify which connections drive differences in the HCR, the lobar connectivity weight (LCW) was computed.
The method was successful in predicting rank order of importance on all data sets, performing as well as or better than the recently proposed connectivity weight method.
Finally, we can contrast the nonlinear behavior with the predicted linear behavior by examining the spectra of the connectivity weight matrices.
The spike is transmitted with a fixed delay to all postsynaptic neurons with a connectivity weight that varies according to the available reserve of neurotransmitter.
For each subject and network, we identified all voxels belonging to the network (i.e. with a z-scored connectivity weight of ≥1 in the individual back-projected maps).
Similar(55)
The experimental analysis is performed on 26 well-known microarray data sets regarding diverse kinds of cancers and the results show that the proposed method not only achieved significantly high accuracy but also because of its sparseness, final connectivity weights determined the value and effectivity of each gene regarding the corresponding cancer.
Connectivity weights are scaled by a connectivity parameter, β.
These parameters are similar to the neural mass model used above, but scaled as we do not have normalized connectivity weights due to the finite domain.
where v ϵ ∈ R p represents the fast activity of the individual elements, w ϵ ∈ R q represents the connectivity weights that vary slowly due to plasticity, and u ( t ) ∈ R p represents the value of the external input at time t.
First, connectivity weights span nearly 6 orders of magnitude.
Error bars represent 1 s.e.m. (D and E ) Schematic representation of mean group connectivity weights (grey lines) in baseline and post-TMS sessions.
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