ArticleNeuron2023
Parametric control of flexible timing through low-dimensional neural manifolds.
Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.Nature neuroscience · 2026Article
- Synaptic-state-dependent plasticity routes learning signals in recurrent circuits.bioRxiv : the preprint server for biology · 2026Article
- Data-driven reduced modeling of neural dynamics.Nature communications · 2026Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Theory of temporal pattern learning in echo state networks.PNAS nexus · 2026Article
- A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026Article
- A posture subspace in the primary motor cortex.Neuron · 2025Article
- A neuronal correlate for time interval estimation in the crow's telencephalon.Nature communications · 2025Article
- A solvable neural circuit model revealing the dynamical principle of non-optimal temporal weighting in perceptual decision making.Journal of computational neuroscience · 2025Article
- A neural manifold view of the brain.Nature neuroscience · 2025Review
- Article
- Control Principles of Neural Dynamics Revealed by the Neurobiology of Timing.Annual review of neuroscience · 2025Review
- Balanced state of networks of winner-take-all units.PLoS computational biology · 2025Article
- Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics.Science advances · 2025Article
- MARBLE: interpretable representations of neural population dynamics using geometric deep learning.Nature methods · 2025Article
- TiDHy: Timescale Demixing via Hypernetworks to learn simultaneous dynamics from mixed observations.bioRxiv : the preprint server for biology · 2025Article
- Dynamic tracking of objects in the macaque dorsomedial frontal cortex.Nature communications · 2025Article
- Representation of a perceptual bias in the prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Structured flexibility in recurrent neural networks via neuromodulation.Advances in neural information processing systems · 2024Article
- Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model.Scientific reports · 2024Article
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5 authors.
Funding
Abstract
Biological brains possess an unparalleled ability to adapt behavioral responses to changing stimuli and environments. How neural processes enable this capacity is a fundamental open question. Previous works have identified two candidate mechanisms: a low-dimensional organization of neural activity and a modulation by contextual inputs. We hypothesized that combining the two might facilitate generalization and adaptation in complex tasks. We tested this hypothesis in flexible timing tasks where dynamics play a key role. Examining trained recurrent neural networks, we found that confining the dynamics to a low-dimensional subspace allowed tonic inputs to parametrically control the overall input-output transform, enabling generalization to novel inputs and adaptation to changing conditions. Reverse-engineering and theoretical analyses demonstrated that this parametric control relies on a mechanism where tonic inputs modulate the dynamics along non-linear manifolds while preserving their geometry. Comparisons with data from behaving monkeys confirmed the behavioral and neural signatures of this mechanism.
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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.