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#manifolds — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #manifolds, aggregated by home.social.

  1. 🧠 New paper by Pezon, Schmutz & Gerstner: Linking #NeuralManifolds to circuit structure in recurrent networks.

    The study connects two common views of neural activity: low-dimensional #PopulationDynamics (“neural manifolds”) and single-neuron selectivity. Using recurrent network models, the authors show how circuit connectivity constrains both the geometry of neural #manifolds and the tuning of individual neurons.

    📄 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #NeuralDynamics #CompNeuro #RNN

  2. 🧠 New paper by Pezon, Schmutz & Gerstner: Linking #NeuralManifolds to circuit structure in recurrent networks.

    The study connects two common views of neural activity: low-dimensional #PopulationDynamics (“neural manifolds”) and single-neuron selectivity. Using recurrent network models, the authors show how circuit connectivity constrains both the geometry of neural #manifolds and the tuning of individual neurons.

    📄 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #NeuralDynamics #CompNeuro #RNN

  3. 🧠 New paper by Pezon, Schmutz & Gerstner: Linking #NeuralManifolds to circuit structure in recurrent networks.

    The study connects two common views of neural activity: low-dimensional #PopulationDynamics (“neural manifolds”) and single-neuron selectivity. Using recurrent network models, the authors show how circuit connectivity constrains both the geometry of neural #manifolds and the tuning of individual neurons.

    📄 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #NeuralDynamics #CompNeuro #RNN

  4. 🧠 New paper by Pezon, Schmutz & Gerstner: Linking #NeuralManifolds to circuit structure in recurrent networks.

    The study connects two common views of neural activity: low-dimensional #PopulationDynamics (“neural manifolds”) and single-neuron selectivity. Using recurrent network models, the authors show how circuit connectivity constrains both the geometry of neural #manifolds and the tuning of individual neurons.

    📄 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #NeuralDynamics #CompNeuro #RNN

  5. 🧠 New paper by Pezon, Schmutz & Gerstner: Linking #NeuralManifolds to circuit structure in recurrent networks.

    The study connects two common views of neural activity: low-dimensional #PopulationDynamics (“neural manifolds”) and single-neuron selectivity. Using recurrent network models, the authors show how circuit connectivity constrains both the geometry of neural #manifolds and the tuning of individual neurons.

    📄 doi.org/10.1016/j.neuron.2025.

    #Neuroscience #NeuralDynamics #CompNeuro #RNN

  6. 🧠 New preprint by Guardamagna et al.: Using large-scale recordings in #rat pups, the authors show that toroidal #manifolds in #MEC emerge by P10, before eye and ear opening, upright gait, and active exploration. Ring-like manifolds appear even earlier, by P9. External spatial experience seems to align these preconfigured internal maps only later, as pups begin to navigate.

    📄 doi.org/10.64898/2026.03.10.71

    #Neuroscience #GridCells #NeuralDynamics

  7. 🧠 New preprint by Guardamagna et al.: Using large-scale recordings in #rat pups, the authors show that toroidal #manifolds in #MEC emerge by P10, before eye and ear opening, upright gait, and active exploration. Ring-like manifolds appear even earlier, by P9. External spatial experience seems to align these preconfigured internal maps only later, as pups begin to navigate.

    📄 doi.org/10.64898/2026.03.10.71

    #Neuroscience #GridCells #NeuralDynamics

  8. 🧠 New preprint by Guardamagna et al.: Using large-scale recordings in #rat pups, the authors show that toroidal #manifolds in #MEC emerge by P10, before eye and ear opening, upright gait, and active exploration. Ring-like manifolds appear even earlier, by P9. External spatial experience seems to align these preconfigured internal maps only later, as pups begin to navigate.

    📄 doi.org/10.64898/2026.03.10.71

    #Neuroscience #GridCells #NeuralDynamics

  9. 🧠 New preprint by Guardamagna et al.: Using large-scale recordings in #rat pups, the authors show that toroidal #manifolds in #MEC emerge by P10, before eye and ear opening, upright gait, and active exploration. Ring-like manifolds appear even earlier, by P9. External spatial experience seems to align these preconfigured internal maps only later, as pups begin to navigate.

    📄 doi.org/10.64898/2026.03.10.71

    #Neuroscience #GridCells #NeuralDynamics

  10. 🧠 New preprint by Guardamagna et al.: Using large-scale recordings in #rat pups, the authors show that toroidal #manifolds in #MEC emerge by P10, before eye and ear opening, upright gait, and active exploration. Ring-like manifolds appear even earlier, by P9. External spatial experience seems to align these preconfigured internal maps only later, as pups begin to navigate.

    📄 doi.org/10.64898/2026.03.10.71

    #Neuroscience #GridCells #NeuralDynamics

  11. 🧠 New work by Codol et al. who show that #MotorCortex dynamics are remarkably conserved across #mice, #monkeys, and #humans. Despite very different #behaviors, #NeuralPopulation activity follows similar dynamical rules on low-dimensional #manifolds. Species differences arise mainly from the geometry of trajectories within this shared #DynamicalSystem.

    📄 doi.org/10.64898/2026.03.06.70

    #Neuroscience #CompNeuro #NeuralDynamics

  12. [ Lumo Kaŭstikaĵo ]

    Matematika diferenciala geometrio priskribanta la ebenan koverton de kurboj spuritaj de radioj disvastiĝantaj tra manifoldo. 🤓 #nerd

    ~briletanta~

    \eZ

    #miksang #dailypic #aphotoaday
    #Esperanto #photography #photo
    #physics #optics #mathematics #maths
    #caustics #differentialgeometry
    #manifold #manifolds
    #shimmering

  13. 🧠 New preprint by Behrad et al. introducing #fastDSA, a much faster way to compare neural systems at the level of their dynamics, not just geometry or task performance.

    What’s cool here: similarity is defined by shared #VectorFields, i.e. by the computational mechanism itself. This provides the first tool for mechanistic comparison of neural computations (to my knowledge).

    🌍 arxiv.org/abs/2511.22828
    💻 github.com/CMC-lab/fastDSA

    #Neuroscience #CompNeuro #NeuralDynamics #Manifolds #DynamicalSystems

  14. 🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.

    🌍 doi.org/10.1101/2025.11.08.687

    #CompNeuro #NeuralDynamics #Attractor #Neuroscience

  15. @axoaxonic @adredish Fully agree 👍 Horner's framework really begs for a formal dynamical model: defining trajectories, #attractors, and #manifolds within that 3D space. Something that could turn his conceptual #StateSpace into a genuine #computational theory of #memory dynamics.

    I didn’t know Redish's book ("Beyond the Cognitive Map") before your comment! Sounds highly relevant and I’ll definitely put it on my reading list 👌

  16. 🚀✨ Behold, a #groundbreaking revelation: #counting isn't just for toddlers anymore! This esteemed cabal of academics has boldly ventured into the complex realm of... counting #characters with #imaginary #shapes. 🤯 #Manifolds have never felt so, well, manipulated! 💁‍♂️🔍
    transformer-circuits.pub/2025/ #revelation #academic #research #HackerNews #ngated

  17. 'Estimation of Local Geometric Structure on Manifolds from Noisy Data', by Yariv Aizenbud, Barak Sober.

    jmlr.org/papers/v26/25-0183.ht

    #manifold #manifolds #submanifold

  18. 'Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds', by Clément Bonet, Lucas Drumetz, Nicolas Courty.

    jmlr.org/papers/v26/24-0359.ht

    #manifolds #manifold #wasserstein

  19. 'Manifold Learning by Mixture Models of VAEs for Inverse Problems', by Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto.

    jmlr.org/papers/v25/23-0396.ht

    #autoencoders #manifold #manifolds

  20. I have a really weird #ICanHazPDF request. I remember a #MathOverflow question about the classification of #manifolds in which a paper (apparently unpublished) was linked from the author's website. I think it was by either Manolescu or Nicolaescu and it was a very nice, short survey of the current state of the classification. I thought I had a copy of this, but I can't find it or the original MathOverflow question. I've tried DuckDuckGo, Yandex, Google, and Bing to no avail. It's not this (pi.math.cornell.edu/~hatcher/P) by Allen Hatcher. Did I hallucinate this survey article?

    #topology #AlgebraicTopology #geometry

  21. I have a really weird #ICanHazPDF request. I remember a #MathOverflow question about the classification of #manifolds in which a paper (apparently unpublished) was linked from the author's website. I think it was by either Manolescu or Nicolaescu and it was a very nice, short survey of the current state of the classification. I thought I had a copy of this, but I can't find it or the original MathOverflow question. I've tried DuckDuckGo, Yandex, Google, and Bing to no avail. It's not this (pi.math.cornell.edu/~hatcher/P) by Allen Hatcher. Did I hallucinate this survey article?

    #topology #AlgebraicTopology #geometry

  22. I have a really weird #ICanHazPDF request. I remember a #MathOverflow question about the classification of #manifolds in which a paper (apparently unpublished) was linked from the author's website. I think it was by either Manolescu or Nicolaescu and it was a very nice, short survey of the current state of the classification. I thought I had a copy of this, but I can't find it or the original MathOverflow question. I've tried DuckDuckGo, Yandex, Google, and Bing to no avail. It's not this (pi.math.cornell.edu/~hatcher/P) by Allen Hatcher. Did I hallucinate this survey article?

    #topology #AlgebraicTopology #geometry

  23. I have a really weird #ICanHazPDF request. I remember a #MathOverflow question about the classification of #manifolds in which a paper (apparently unpublished) was linked from the author's website. I think it was by either Manolescu or Nicolaescu and it was a very nice, short survey of the current state of the classification. I thought I had a copy of this, but I can't find it or the original MathOverflow question. I've tried DuckDuckGo, Yandex, Google, and Bing to no avail. It's not this (pi.math.cornell.edu/~hatcher/P) by Allen Hatcher. Did I hallucinate this survey article?

    #topology #AlgebraicTopology #geometry

  24. I have a really weird #ICanHazPDF request. I remember a #MathOverflow question about the classification of #manifolds in which a paper (apparently unpublished) was linked from the author's website. I think it was by either Manolescu or Nicolaescu and it was a very nice, short survey of the current state of the classification. I thought I had a copy of this, but I can't find it or the original MathOverflow question. I've tried DuckDuckGo, Yandex, Google, and Bing to no avail. It's not this (pi.math.cornell.edu/~hatcher/P) by Allen Hatcher. Did I hallucinate this survey article?

    #topology #AlgebraicTopology #geometry

  25. I will be at ICML for the workshops later this week. Thanks to @emtiyaz and Thomas (moellenh.github.io) for inviting me to the workshop on “Duality Principles for Modern Machine Learning” (dp4ml.github.io); hope to also attend the TAG-ML workshop tagds.com/events/conference-wo Friday.

    #ICML #Duality #Manifolds

  26. 'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

    jmlr.org/papers/v24/21-1254.ht

    #laplacians #manifolds #laplacian

  27. Annemarie Kehl is next: LiveDocs on ENDOR, project A01

    3D structures of #protein radicals reconstructed from electron-nuclear double resonance (#ENDOR) #spectroscopy, solving the statistical inverse problem which leads from measured spectra to geometric and electronic structure.
    Spin dynamics, #Bayesian statistics on #manifolds, fast Markov-Chain-Monte-Carlo algorithms, conditioning molecular dynamics on observed spectra; representative biological system: ribonucleotide reductase from E. coli.

  28. I've worked out that the injectivity radius under the Euclidean metric for the #unitary group U(n) is π and for real and special subgroups O(n), SO(n), and SU(n) is π√2.

    This seems like a pretty basic property, but I can't find a single reference that gives the injectivity radii for any of these groups. Anyone know of one?

    #DifferentialGeometry #LieGroups #Manifolds

  29. #SignRelationalManifolds • 5

    inquiryintoinquiry.com/2022/11

    Let me try to say in intuitive terms what I think is really going on here.

    The problem is as old as those about #OtherMinds, #Intersubjectivity, or #Commensurability and it involves a whole slew of other old problems — #RealityVsAppearance or #RealityVsRepresentation, not to mention #TheOneAndTheMany. One way to sum up the question might be “conditions on the possibility of a #MutuallyObjectiveWorld ”.

    #Peirce #Semiotics #Manifolds

  30. #SignRelationalManifolds • 3
    inquiryintoinquiry.com/2022/11

    I'm not sure when it was I first noticed the relationship between #manifolds and #semiotics but I distinctly recall the passage in Serge Lang's Differential and Riemannian Manifolds (1995) which brought the triadic character of tangent vectors into high relief.

    Excerpts from Lang's DARM

    Chapter 2. Manifolds
    2.1. #Atlases, #Charts, #Morphisms
    web.archive.org/web/2015030202
    2.2. #Submanifolds, #Immersions, #Submersions
    web.archive.org/web/2014122017

  31. #SignRelationalManifolds • 3
    inquiryintoinquiry.com/2022/11

    I'm not sure when it was I first noticed the relationship between #manifolds and #semiotics but I distinctly recall the passage in Serge Lang's Differential and Riemannian Manifolds (1995) which brought the triadic character of tangent vectors into high relief.

    Excerpts from Lang's DARM

    Chapter 2. Manifolds
    2.1. #Atlases, #Charts, #Morphisms
    web.archive.org/web/2015030202
    2.2. #Submanifolds, #Immersions, #Submersions
    web.archive.org/web/2014122017