Recurrent predictive coding models for associative memory employing covariance learning
Fig 5
Performance of the multi-layer models.
A: Demonstration of how we keep the number of parameters across different models to be roughly the same. B: Retrieval mean squared errors (MSEs) of the multi-layer models across multiple numbers of training memories (N). The curve for the implicit model is the same as the one in Fig 4. C: Evolution of the retrieval MSEs of the implicit and dendritic hybrid models when N = 256. Error bars obtained by 5 different seeds for image sampling.