#neuropixels — Public Fediverse posts

🧠 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.

🌍 https://doi.org/10.1101/2025.11.08.687367

#CompNeuro #NeuralDynamics #Attractor #Neuroscience

🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:

🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1

#Neuroscience #MotorControl #CompNeuro

🧠 New landmark study “A #brain-wide map of #NeuralActivity during complex #behaviour” by the #InternationalBrainLaboratory (Angelaki et al., 2025): >600,000 #neurons across 279 regions in 139 mice, unified across 12 labs with #Neuropixels probes.

#DecisionMaking isn’t confined to single hubs but distributed across the brain, incl. #sensory, #motor & #reward areas, showing how #cognitive processes emerge from brain-wide #dynamics.

🌍 https://doi.org/10.1038/s41586-025-09235-0

#Neuroscience 🧪

#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillations

If you've read it, will you let me know what you think?

The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!

I have only done a quick reading so far, but am confused by a few points:

• the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
• the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!

• the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)

• also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
  Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab

Let me know what you think!

#LeutgebLab #NeuroRat #Neuroscience #SpatialCognition