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Found 3 papers, 2 papers with code
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Medial entorhinal cortex (MEC) supports a wide range of navigational and memory related behaviors. Well-known experimental results have revealed specialized cell types in MEC --- e. g. grid, border, and head-direction cells --- whose highly stereotypical response profiles are suggestive of the role they might play in supporting MEC functionality.
Anisotropic Random Feature Regression in High Dimensions
In contrast to standard statistical wisdom, modern learning algorithms typically find their best performance in the overparameterized regime in which the model has many more parameters than needed to fit the training data.
A unified theory for the origin of grid cells through the lens of pattern formation
This theory provides insight into the optimal solutions of diverse formulations of the normative task, and shows that symmetries in the representation of space correctly predict the structure of learned firing fields in trained neural networks.
