Figure 5
From: Tracing the Flow of Perceptual Features in an Algorithmic Brain Network
Algorithmic Brain Network.
Gray Insert. DFI node total feature degree reveals network hubs (gray frame, total number of significant inward and outward DFI connections, summed over features, for each node). Hub Inputs. On the line-drawn back of the brain with labeled left and right hemispheres, network schematics show the detailed features and timing properties for sections of the feature networks; specifically connections into the hub nodes. We represent DFI with color-coded arrows that denote the transfer of the color-framed stimulus features (reproduced from Fig. 2) underlying both perceptions in Observer 1. Specific examples illustrated with time course plots are shown with full saturation. Pie charts in the network schematics summarize proportional coding of stimulus features at each node. In the left schematics, solid arrows illustrate transfer into the hubs. Adjacent color-coded time courses plot the association (MI) between stimulus feature and network node activity; shaded grey region indicates threshold of statistical significance (p = 0.01, multiple comparison corrected over ICA sources, time points and component filters). White circle labels indicate sending times of highlighted DFI; arrowhead labels receiving time. Hub Outputs. The schematics illustrate the coding and transfer (with dashed arrows) of color-coded DFI out of the hubs. The section of the Dali painting “Slave Market with a Disappearing Bust of Voltaire” is © Salvador Dalí, Fundació Gala-Salvador Dalí, VEGAP, 2014 and is excluded from the Creative Commons license covering the rest of this work.
