ArticleNeuron2018
A Neural Population Mechanism for Rapid Learning.
Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.
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Who cites it
118 citing papers in PubMed.
- Article
- Prioritized nonlinear modeling of shared dynamics across neural populations.Journal of neural engineering · 2026Article
- Assistive algorithms influence neural representations in motor brain-computer interfaces.Nature communications · 2026Article
- Flexible reorientation of conserved neural dynamics underlies grasp control.bioRxiv : the preprint server for biology · 2026Article
- Inferring brain-wide interactions using data-constrained recurrent neural network models.Neuron · 2026Article
- Combining phase analysis and causal stimulation enables longitudinal mesoscale connectivity mapping.bioRxiv : the preprint server for biology · 2026Article
- Learning-related population dynamics in right and left dorsal premotor cortex during typing skill acquisition.bioRxiv : the preprint server for biology · 2026Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Nature communications · 2026Article
- Functional reorganization of motor cortex connectivity during learning.bioRxiv : the preprint server for biology · 2026Article
- Neural population geometry and optimal coding of tasks with shared latent structure.Nature neuroscience · 2026Article
- The equilibrium point hypothesis revisited: why threshold control does not explain human movement.Experimental brain research · 2026Review
- Linking systemic metabolic state to long-term motor memory: Insights from respiratory exchange ratio and glucose manipulation.The Journal of physiology · 2026Article
- Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning.Science advances · 2025Article
- Motor Cortical Output Integrates Distorted Proprioceptive Feedback.bioRxiv : the preprint server for biology · 2025Article
- Mapping neural subspace dynamics onto the structure of the mouse descending motor system.bioRxiv : the preprint server for biology · 2025Article
- Accurate Identification of Communication Between Multiple Interacting Neural Populations.ArXiv · 2025Article
- Frontal and parietal planning signals encode adapted motor commands when learning to control a brain-computer interface.PLoS biology · 2025Article
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
- A neural manifold view of the brain.Nature neuroscience · 2025Review
- Basal ganglia: an amplifier for preparatory activity in motor control.Biological cybernetics · 2025Article
58 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
Abstract
Long-term learning of language, mathematics, and motor skills likely requires cortical plasticity, but behavior often requires much faster changes, sometimes even after single errors. Here, we propose one neural mechanism to rapidly develop new motor output without altering the functional connectivity within or between cortical areas. We tested cortico-cortical models relating the activity of hundreds of neurons in the premotor (PMd) and primary motor (M1) cortices throughout adaptation to reaching movement perturbations. We found a signature of learning in the "output-null" subspace of PMd with respect to M1 reflecting the ability of premotor cortex to alter preparatory activity without directly influencing M1. The output-null subspace planning activity evolved with adaptation, yet the "output-potent" mapping that captures information sent to M1 was preserved. Our results illustrate a population-level cortical mechanism to progressively adjust the output from one brain area to its downstream structures that could be exploited for rapid behavioral adaptation.
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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.