Fig. 5: Predicted parameters generated from simulation data with various feature settings.
From: A Python toolbox for neural circuit parameter inference
A Predicted versus actual values. B Probability functions of absolute errors. DH,1 represents the Hellinger distance between the probability distributions of models trained with catch22 and catch22 + 1/f slope. DH,2 represents the Hellinger distance between all the models trained on a single feature. DH,3 represents the distance between catch22 and the models trained on a single feature. All prediction results shown here were computed on a held-out test dataset representing 10% of the whole simulation dataset.
