Fig. 2: Properties of the multi-regional model of the marmoset neocortex. | Nature Communications

Fig. 2: Properties of the multi-regional model of the marmoset neocortex.

From: A hierarchy of time constants and reliable signal propagation in the marmoset cerebral cortex

Fig. 2

a Graph representation of the marmoset cortical areas, with line width representing connection strength (only the strongest 25% of connections are displayed). b Schematic depiction of the model area representing each cortical area, comprising excitatory and inhibitory neural populations with the directed interaction from Area V1 to Area V2 shown. c Matrix of connection strengths across all cortical areas. The directed connection magnitude between any two areas is based on the Fraction of Labeled Neurons (FLN) data derived from refs. 25,26. Only inter-areal (long-range) projections are shown for clarity. d Area-wise composite gradient of excitation in the model. e Boxplot of the composite gradient of excitation grouped by the category of areas, signifying a significant progression from visual areas to the prefrontal cortex. Box plots show the median and IQR, with whiskers extending to the minimum and maximum values excluding outliers. Sample sizes (n, number of distinct brain areas per region) from left to right are n = 9, 2, 3, 7, 2, 3, and 7. f Strong correlation between the model’s composite gradient of excitation and the experimentally measured spine number of 8 areas (Pearson r = 0.89, p = 2.6 × 10−3). Layer-3 pyramidal-cell spine counts were taken from the cross-area compilation in Supplementary Table 4 of26; sampling details are given in the cited source articles.

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