The model predicts that frequency-tuned neurons have asymmetric tuning curves as functions of the amplitude spectra falloffs.
Tuning curves were broader.
Tuning curves were on average narrower with lower contrast.
We emphasize that the strikingly different tuning curves in Figs.
Tuning curves were obtained for moving stimuli, so it is strictly speaking incorrect to describe them as orientation tuning curves.
As adaptation time increases, tuning curves are progressively remodelled: following a few minutes of adaptation suppression near adapted flan override facilitation resulting from repulsive shifts of tuning curves.
Figure 3 depicts the procedure for computing the Fisher information from the neuronal tuning curves.
Figure 2E shows the mean tuning curves for all 161 cells in the dataset.
Across all conditions orientation tuning curves were investigated using a trial by trial method.
Specifically, the weight of the ganglion cells' tuning curves shifted from low spatial frequencies toward high.
In the uniform place code, all tuning curves were Gaussians with a standard deviation of 26°.
