ReviewNature reviews. Neuroscience2022
Attractor and integrator networks in the brain.
Review in Nature reviews. Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
130 citing papers in PubMed.
- Instructive signals drive learning through behavioral timescale synaptic plasticity in the hippocampus and beyond.Current research in neurobiology · 2026Article
- Reduced task-switching flexibility in parietal-cingulate and frontal circuits associated with brooding.Cognitive neurodynamics · 2026Article
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- Neural basis of compositional control.Nature · 2026Article
- Functional neurological disorder, suggestion and virtual reality: neuroanatomical and computational perspectives.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Representational learning by optimization of neural manifolds in an olfactory memory network.Nature neuroscience · 2026Article
- Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation.Journal of computational neuroscience · 2026Article
- The compositionality continuum as a principle for studying the neural basis of intelligence.Nature neuroscience · 2026Review
- Decoding behavior with minimal and interpretable agent models.PLoS computational biology · 2026Article
- Article
- Data-driven reduced modeling of neural dynamics.Nature communications · 2026Article
- Neural dynamics for working memory and evidence integration during olfactory navigation in Drosophila.Nature communications · 2026Article
- Generative AI as a transformational logic for cognitive neuroscience.Communications biology · 2026Review
- Sparse component analysis: A method that uncovers separable computations within neural population activity.Neuron · 2026Article
- Combining sampling and attractor dynamics in spiking models of head direction systems.PLoS computational biology · 2026Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Article
- Limit-Cycle Proliferation Under Parametric Delayed Feedback in a Conductance-Based Neuron: Bifurcation Landscape, Orbit Catalog, and Capacity Analysis.Entropy (Basel, Switzerland) · 2026Article
- Primary cilia and neural computation.Journal of biomedical science · 2026Review
70 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
In this Review, we describe the singular success of attractor neural network models in describing how the brain maintains persistent activity states for working memory, corrects errors and integrates noisy cues. We consider the mechanisms by which simple and forgetful units can organize to collectively generate dynamics on the long timescales required for such computations. We discuss the myriad potential uses of attractor dynamics for computation in the brain, and showcase notable examples of brain systems in which inherently low-dimensional continuous-attractor dynamics have been concretely and rigorously identified. Thus, it is now possible to conclusively state that the brain constructs and uses such systems for computation. Finally, we highlight recent theoretical advances in understanding how the fundamental trade-offs between robustness and capacity and between structure and flexibility can be overcome by reusing and recombining the same set of modular attractors for multiple functions, so they together produce representations that are structurally constrained and robust but exhibit high capacity and are flexible.
Indexed as
Identifiers
36329249What OpenQuestion holds
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.