Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes
Fig 6
Effect of meta-parameter choice on model performance.
(A) Relationship between the performance of the HSM and the number of LGN inputs for the training set (solid line) and the validation set (dashed line). (B) Relationship between the performance of the HSM and the number of units in the hidden layer expressed as fraction of measured neurons for the training set (solid line) and the validation set (dashed line). Note that the performance on the training set is consistently poorer than on the validation set because the validation set is an average over multiple trials while the training set is single-trial data (see Materials and Methods).