Fig. 5: CH-HNN demonstrates the efficacy of the feedback loop.
From: Hybrid neural networks for continual learning inspired by corticohippocampal circuits
a Diagram illustrating knowledge transfer for episode-related information. Average test accuracy for incrementally learned classes on b sTiny-ImageNet and c sCIFAR-100 datasets. d Diagram depicting feedback loops within corticohippocampal circuits. Average test accuracy for incrementally learned classes with different ANN training designs on e sTiny-ImageNet and f sCIFAR-100 datasets. g Average test accuracy in lesion experiments on the pMNIST dataset. Results are presented as means over five random seeds, with shaded areas indicating  ±SEM. Violin plots showing the distribution of test accuracy scores for each set of five classes after learning all tasks in h the sTiny-ImageNet dataset and i the ImageNet-as-Priors condition in sTiny-ImageNet dataset.
