@LMPrida shares an inspiring perspective in @thetransmitter on how #neuron subtypes may control large-scale #NeuralPopulation activity, from #manifolds to #ripples:
@LMPrida shares an inspiring perspective in @thetransmitter on how #neuron subtypes may control large-scale #NeuralPopulation activity, from #manifolds to #ripples:
🧠 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.
🧠 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.
🧠 New 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.
[ 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
🧠 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).
🌍 https://arxiv.org/abs/2511.22828
💻 https://github.com/CMC-lab/fastDSA
#Neuroscience #CompNeuro #NeuralDynamics #Manifolds #DynamicalSystems
"In the mid-19th century, Bernhard #Riemann conceived of a new way to think about #mathematical spaces, providing the foundation for modern #geometry and #physics."
Cool article on #manifolds on wired.com:
There is a new episode on the #TheoreticalNeurosciencePodcast on low-dimensional #manifolds in #MotorCortex with Sara Solla ✌️, one of the pioneers of the manifold modelling approach in #Neuroscience.