Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex
Fig 5
Small-world coefficient of the network predicts the size-dependent effect of LRCs for visual encoding.
(A). A hypothetical scenario for the network-size-dependent existence of LRCs. The species-specific emergence of LRCs is explained by the size-dependent enhancement of small-world coefficient (ΔSW) with LRCs. (B). To validate the hypothesis, the small-world coefficient (SW) and the performance of the network were examined while the network size and the LRC ratio varied. (C). Change in the SW of the network as a function of the LRC ratio with different sizes of networks. Arrows indicate the maximum value point and dashed lines indicate the value of SW with 0% LRCs. ΔSW is defined as the difference between the two values, as illustrated. (D). Modulation of the normalized classification accuracy (ΔAccu) as a function of the LRC ratio with different sizes of networks. ΔAccu is defined as the difference between the maximum performance and that with 0% LRCs. (E)-(F). Changes of ΔSW and ΔAccu as a function of the network size. Note that both ΔSW and ΔAccu become positive only when the network size exceeds a certain threshold. Thin lines indicate the performance under the variation of local and global parameters of the stimulus (See S3 Fig for details). Bold lines indicated the averaged performance during variation of the stimulus. Error bars represent the confidence interval for 20 trials.