A kernel/eigenmode theory derives hippocampal place field sizes from grid-to-place weight decay and predicts the optimal place field width for few-shot learning scales with the task's spatial scale.
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The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning
A kernel/eigenmode theory derives hippocampal place field sizes from grid-to-place weight decay and predicts the optimal place field width for few-shot learning scales with the task's spatial scale.