Author

D. Boothe

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Preprint Oct 2026

Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques

Position tracking is a well-studied problem in Euclidean navigation, yet comparatively little attention has been given to navigation on general manifolds, where motion is governed by the underlying geometry of the space. In this work, we formalize the problem of manifold navigation as a velocity-driven tracking task an...

Sarah Harkins Dayton, Sathya Rengaswami, Vasileios Maroulas et al. · 0 citations

Open access Aug 2026

Context-Aware Evidence-Gated Plasticity for Multi-Goal Learning in Spiking Neural Networks

These results demonstrate that spiking navigation circuits can learn goal-directed behavior using local plasticity, but robust multi-goal learning benefits from context-specific evidence-based consolidation.

Samuel A Neymotin, Hananel Hazan, Gozde Unal et al. · Research Square · 0 citations