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a Spike correlations can arise from common input in a neuronal network.
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Nevertheless, in these conditions, it is also possible to assess whether the observed correlations derive from either direct or indirect connections, or result from a common input.
Whereas the Buice et al. correlations are determined by multiple network motifs (with the lowest order being the direct connection (w_{alphabeta}) from β to α), our result for the hybrid model indicates that the source term is given by divergent motifs indicating common input from a third population (population γ → populations α, β).
We interpret this to be due to increased common input from changing groupings of inter-connected CA3 neurons.
Hence, it might well be that the functional couplings between LPFC and striatal areas are in fact driven by common input from other areas.
Practically, such influence may be mediated by a common input from a higher brain center or a neuromodulatory system with a brain-wide influence.
The noise correlation was slightly stronger for the neurons with nearby receptive fields (median correlation coefficient 0.24 vs. 0.19, U-test, P < 0.05), which may be due to common input from the lateral geniculate nucleus.
These cost economies arise typically from sharing common inputs and spreading fixed costs over a larger output.
In addition, since phase-lag is a bivariate phenomenon involving two simultaneous time series and our hypothesis does not distinguish whether the common input stems from the sites within the multivariate data set or sources not observed in the experiment, a pairwise analysis is sufficient for the purpose of this study.
Second, we demonstrate that these responses result from differential wiring of a common input to different outputs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com