Functional Clusters for Shape, Texture, and Motion Encoding in Macaque V2

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Figure 5.
Figure 5.

Orientation energy model fit to shape responses. A, B, For each neuron, shape responses were predicted using an orientation energy model based on linear regression. Black dots in A and black bars in B represent neurons with statistically significant goodness-of-fit (r) as determined by an F test (p < 0.05), while gray dots and bars represent neurons that did not reach statistical significance. In most sessions, we used a shape set of 50 stimuli, but in a few sessions (3 out of 20), a larger set (n = 120) was used, which led to statistical significance even with smaller correlation values (r < 0.4). The vertical line represents the median (0.40).  C, A comparison of the tuning similarity matrices derived from measured (top) versus predicted (bottom) responses from the orientation energy model. Matrices exhibit qualitatively similar structure.

  1. The Journal of Neuroscience vol. 46 no. 14
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