< Back to Article

Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation

Fig 8

Variations of symmetry in the learning rule

Experiment for all plots is the same as in Fig 5. Top: Generalization for parameters . Violin plots show distribution of differences (steps-optimal number of steps) when evaluated on new targets. Distributions broaden towards the optimal value of 0 with increased symmetry. Middle: Generalization with parameters , randomly initialized for each pair of states. Bottom: Generalization with noise added to , at each timestep.

doi: https://doi.org/10.1371/journal.pcbi.1013056.g008