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Research map / Probabilistic and scientific modeling / Dynamical systems

A unified theory for the origin of grid cells through the lens of pattern formation

NeurIPS 2019 · Probabilistic and scientific modeling › Dynamical systems · approach: Synaptic plasticity learning rules · 48 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add nonnegativity constraint on hidden unit activations1-layer NN, RNN, LSTM trained on place cell encoding · grid pattern structurelattice typeHelped
use broad Gaussian place cell tuning1-layer NN, RNN, LSTM · grid pattern structurelattice typeMixed
use difference-of-Gaussians or one-hot place cell tuning instead of Gaussian1-layer NN, RNN, LSTM · grid pattern structurelattice regularityHurt
add cubic term (symmetry-breaking nonlinearity) to objective (ablation)position encoding objective · grid pattern structurehexagonality: L_int 3/2 (stripe+overtone) vs 1.63 (equilateral)Helped
use nonlinearity preserving g -> -g symmetrycontinuous attractor model · grid pattern structurelattice typeHurt
add nonnegativity with many grid mapsmulti-cell pattern forming dynamics · multi-scale grid mapshexagonalityHelped

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