Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes
Fig 4
Responses predicted from the HSM are highly correlated with recorded neuronal responses.
The measured mean activity (full circles) and the predicted responses (empty circles) for a neuron with highest correlation (R = 0.90, P<0.001)(A) and a neuron with median correlation (R = 0.53, P<0.001)(B). (C) The cumulative distribution functions of correlation coefficients across the population of 260 neurons in the three measured regions. (D) Normalized noise power [28] and the performance of the model are negatively correlated (R = -0.63, -0.55 and -0.67 for the three regions, P<0.001 for all regions). Higher normalized noise power implies lower and more variable prediction performance. The small dots indicate neurons for which the model performance (correlation between predicted and recorded responses) was not statistically significant (based on bootstrapped 95% confidence intervals).