ArticleNature neuroscience2020
Long-term stability of cortical population dynamics underlying consistent behavior.
Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.
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Who cites it
181 citing papers in PubMed.
- Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.Journal of neural engineering · 2024Trial
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- Prioritized nonlinear modeling of shared dynamics across neural populations.Journal of neural engineering · 2026Article
- Specific expertise from diffuse feedback: A feedforward-gated mechanism.Science advances · 2026Article
- Realignment of representational drift in mouse visual cortex via flexible electrode arrays.Nature biomedical engineering · 2026Article
- Navigational strategy dictates hippocampal representation of space in an everyday memory task.Nature communications · 2026Article
- Behavioral demands organize a decision process into distinct yet coordinated neural representations in parietal cortex.bioRxiv : the preprint server for biology · 2026Article
- Complementary stable and dynamic prelimbic ensembles encode learned threat value underlying generalization and discrimination.bioRxiv : the preprint server for biology · 2026Article
- Pretraining of Embodied Recurrent Networks Bridges the Gap Between Artificial and Cortical Neural Activities.Biomimetics (Basel, Switzerland) · 2026Article
- Inferring brain-wide interactions using data-constrained recurrent neural network models.Neuron · 2026Article
- Manifold-constrained plasticity enables stable learning in recurrent neural circuits.PLoS computational biology · 2026Article
- Shared latent representations of speech production for cross-patient speech decoding.Nature communications · 2026Article
- Learning-related population dynamics in right and left dorsal premotor cortex during typing skill acquisition.bioRxiv : the preprint server for biology · 2026Article
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- Article
- Transformations of the spatial activity manifold convey aversive information in CA3.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Coordinated Representational Drift Across the Mouse Cortex.Research square · 2026Article
- Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.PLoS genetics · 2026Article
- Coordinated Representational Drift Across the Mouse Cortex.bioRxiv : the preprint server for biology · 2026Article
- Preparatory Activity Indexes Motor Memory in the Motor Cortex.Neuroscience bulletin · 2026Article
121 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
Animals readily execute learned behaviors in a consistent manner over long periods of time, and yet no equally stable neural correlate has been demonstrated. How does the cortex achieve this stable control? Using the sensorimotor system as a model of cortical processing, we investigated the hypothesis that the dynamics of neural latent activity, which captures the dominant co-variation patterns within the neural population, must be preserved across time. We recorded from populations of neurons in premotor, primary motor and somatosensory cortices as monkeys performed a reaching task, for up to 2 years. Intriguingly, despite a steady turnover in the recorded neurons, the low-dimensional latent dynamics remained stable. The stability allowed reliable decoding of behavioral features for the entire timespan, while fixed decoders based directly on the recorded neural activity degraded substantially. We posit that stable latent cortical dynamics within the manifold are the fundamental building blocks underlying consistent behavioral execution.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.