Naomi Auer

This paper investigates how population sparseness affects learning speed and memory capacity in a network model with Hebbian plasticity, finding that optimal learning speed increases with sparseness and capacity depends non-monotonically on input sparseness.

This study uses simulations to investigate how population-level hexadirectional modulation in fMRI data may arise from grid cell activity, testing three hypotheses about grid cell properties.