🧠 New preprint by Lu et al: Recordings from the human #hippocampus and anterior cingulate #cortex during three distinct tasks reveal that #NeuralPopulation activity is not fully task-specific. About half of the low-dimensional #NeuralSubspace structure was shared across tasks, suggesting a stable population geometry that may support flexible #cognition across different #behaviors.
RE: https://mastodon.social/@appassionato/116493374179009767
Indeed, an excellent recommendation: Tristram D. Wyatt’s “#AnimalBehaviour: A Very Short Introduction” is a useful reminder for #NaturalisticNeuroscience: #Behavior is not just output, but evolved action in ecological and social context. Tinbergen’s questions, costs, signals, conflict, cooperation. This is exactly the conceptual bridge we need between eg #NeuralDynamics and real-world behavior.
🌍 https://global.oup.com/academic/product/animal-behaviour-9780198712152
🧠 New preprint by Garcia-Garcia et al.: The authors show that cerebellar #GranuleCells do not simply expand #cortical activity into a high-dimensional code. Instead, they preserve low-dimensional cortical #manifold geometry while reorienting it across contexts. This rotation separates similar tasks, reduces interference, and supports flexible dual-task learning.
📄 https://www.biorxiv.org/content/10.64898/2026.03.03.709240v1.full.pdf
🧠 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.
🧠 New preprint by Chericoni et al: #NeuralPopulation activity in the #hippocampus encodes spatial information for different agents (self, prey, gaze) in distinct but related low-dimensional subspaces. The study shows that these representations can be linearly transformed between each other, suggesting a shared geometric code supporting flexible spatial #cognition and multi-agent navigation.
Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:
🌍 https://www.fabriziomusacchio.com/blog/2026-02-12-stdp/
#CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity
Finally published with David Angulo Garcia:
A theory for self-sustained balanced states in absence of strong external currents
@PLOS
Dynamical balance can be obtained via nonlinear mechanisms without the need of strong external drive: short term depression act as a new balancing mechanism. The complete theory is here reported.
#neuraldynamics #compneuroscience
#neuroscience #compneuro #brain #neuralnetwork
#neurodon @hnp_geneva
Fabrizio Musacchio
Fabrizio Musacchio
Alessandro Torcini