Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex
Fig 3
Local connections are required to integrate local information in a large network.
(A). Design of a visual stimulus containing “local” or “shape” information with an MNIST digit located in the center. (B). Classification accuracy for the “shape” dataset with variations of the LRC ratio and of the network size. For both large and small networks, the performance decreased as the LRC ratio was increased. Thin lines indicate the individual network performance outcomes under variations of the stimulus parameters, and bold lines indicate the averaged performance (See S2C Fig for details). (C). Illustration of the clustering coefficient C of the network. Note that a high connection density, leading to high C, is necessary to recognize the detailed shapes of the digits. (D). Similarity between the modulation of the value of C and of the classification accuracy of the network during the rewiring process when varying the LRC ratio. (E). A strong correlation is observed between C and the classification accuracy of the network regardless of the network size and/or the stimulus condition. For each value of C on the x axis, transparent dots indicate the results for different combinations of digits in the stimulus and bold dots indicate the result averaged over all stimulus conditions. Error bars represent the confidence interval for 20 trials.