There's a great talk by Juan Gallego on how low-dimensional #NeuralManifolds arise from biological constraints, remain invariant across states and inputs, and support cross-animal alignment. Examples span #HeadDirection rings, #gridcell tori, #MotorCortex prep vs movement, striatal timing dynamics, and C. elegans #behavior loops. Cool talk as it shows how #manifold-level structure can generalize across tasks and organisms.
🧠 New paper by Wimalasena, Pandarinath, AuYong et al: #spinal #interneuron populations form a low-dimensional #manifold that robustly organizes step cycles.
Distinct regions of the manifold mark flexion–extension transitions, and a specific “hold region” tightly controls cycle duration. Deletions emerge as failures to enter the flexor region, giving a dynamical signature of disrupted CPG function.
🌍 https://doi.org/10.1038/s41467-025-64629-y
#Neuroscience #Locomotion #SpinalCord #PopulationDynamics #CompNeuro
Spinal interneuron population dynamics underlying flexible pattern generation
🧠 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.
