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Exploring the emergence, failure modes, and limits of learning successor-like transitions in continuous attractor networks.

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Emergence and Limits of Successor Attractors

Reference implementation and draft manuscript for:

Learning Discrete Successor Transitions in Continuous Attractor Networks: Emergence, Limits, and Topological Constraints

This repository accompanies a preprint intended for arXiv submission. It explores learning successor-like displacement dynamics in continuous attractor networks, including failure modes and topological effects.

Status: preprint draft
Author: Daniel Brownell

arxiv url: http://arxiv.org/abs/2601.15336

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Exploring the emergence, failure modes, and limits of learning successor-like transitions in continuous attractor networks.

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