ReviewNature reviews. Neuroscience2023
A unifying perspective on neural manifolds and circuits for cognition.
Review in Nature reviews. Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
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Who cites it
101 citing papers in PubMed.
- Reduced task-switching flexibility in parietal-cingulate and frontal circuits associated with brooding.Cognitive neurodynamics · 2026Article
- Dynamical system modeling in schizophrenia: a narrative review of computational psychiatry frameworks.Dialogues in clinical neuroscience · 2026Review
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- Representational learning by optimization of neural manifolds in an olfactory memory network.Nature neuroscience · 2026Article
- Narrowing the gap between analytically convenient and naturalistic stimuli.Journal of vision · 2026Article
- Making models disagree to learn how brains compute.Nature reviews. Neuroscience · 2026Review
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- Computation embodied in population geometry.Nature communications · 2026Article
- Artificial neural manifolds.Nature communications · 2026Article
- Generative AI as a transformational logic for cognitive neuroscience.Communications biology · 2026Review
- Initial organization and progressive expansion of the math-responsive brain network during the first school years.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Transformations of the spatial activity manifold convey aversive information in CA3.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Primary cilia and neural computation.Journal of biomedical science · 2026Review
- Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.PLoS genetics · 2026Article
- Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment.Neural computation · 2026Article
- Adult-neurogenesis allows for representational stability and flexibility in early olfactory system.eLife · 2026Article
- Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Exploring neural manifolds across a wide range of intrinsic dimensions.PLoS computational biology · 2026Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
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Abstract
Two different perspectives have informed efforts to explain the link between the brain and behaviour. One approach seeks to identify neural circuit elements that carry out specific functions, emphasizing connectivity between neurons as a substrate for neural computations. Another approach centres on neural manifolds - low-dimensional representations of behavioural signals in neural population activity - and suggests that neural computations are realized by emergent dynamics. Although manifolds reveal an interpretable structure in heterogeneous neuronal activity, finding the corresponding structure in connectivity remains a challenge. We highlight examples in which establishing the correspondence between low-dimensional activity and connectivity has been possible, unifying the neural manifold and circuit perspectives. This relationship is conspicuous in systems in which the geometry of neural responses mirrors their spatial layout in the brain, such as the fly navigational system. Furthermore, we describe evidence that, in systems in which neural responses are heterogeneous, the circuit comprises interactions between activity patterns on the manifold via low-rank connectivity. We suggest that unifying the manifold and circuit approaches is important if we are to be able to causally test theories about the neural computations that underlie behaviour.
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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.