ArticleeLife2022
Learning accurate path integration in ring attractor models of the head direction system.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Symmetries and continuous attractors in disordered neural circuits.Nature neuroscience · 2026Article
- Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.Nature communications · 2026Article
- Finding a path: local search behavior of Drosophila larvae.The Journal of experimental biology · 2025Article
- Stimulus-to-stimulus learning in RNNs with cortical inductive biases.PLoS computational biology · 2025Article
- Explicit error coding can mediate gain recalibration in continuous bump attractor networks.Nature communications · 2025Article
- Allocentric flocking.Nature communications · 2025Article
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- Synaptic ring attractor: A unified framework for attractor dynamics and multiple cues integration.Heliyon · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
Ring attractor models for angular path integration have received strong experimental support. To function as integrators, head direction circuits require precisely tuned connectivity, but it is currently unknown how such tuning could be achieved. Here, we propose a network model in which a local, biologically plausible learning rule adjusts synaptic efficacies during development, guided by supervisory allothetic cues. Applied to the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.