Neurally-plausible radial basis kernels using distributed Fourier embeddings

Jakeb Chouinard

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arXiv · 2605.08458

Neurally-plausible radial basis kernels using distributed Fourier embeddings

Jakeb Chouinard

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Abstract

Coherent, continuous spatial representations are critical for synthesizing physical and perceptual phenomena into a single representational space. Radial basis kernels provide a path forward for this type of distributed representation. In this work, we aim to characterize and analyze common radial basis kernels realizable in the neurally-plausible framework of spatial semantic pointers. Further, we analyze previous radial basis kernel work based on grid cell-like representations and demonstrate that such representations are both capable of and optimal for realizing radial basis kernels.

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Jakeb Chouinard. 2026-05-08. Neurally-plausible radial basis kernels using distributed Fourier embeddings. https://arxiv.org/abs/2605.08458

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