ReviewAnnual review of neuroscience2025
Control Principles of Neural Dynamics Revealed by the Neurobiology of Timing.
Review in Annual review of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Manifolds in the Medial Premotor Cortex During Switching From Attending to Tapping to a Metronome.Annals of the New York Academy of Sciences · 2026Article
- A brain-wide, trial- and time-dependent deterministic drive synergizes with within-trial noise to time self-initiated actions.bioRxiv : the preprint server for biology · 2026Article
- Analyzing rescaling, discretization, and linearization in RNNs for neural system modeling.Frontiers in computational neuroscience · 2026Article
- Neural Representation of Episodic Time.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Manifold properties in the macaque medial premotor cortex during switching from attending to tapping to a metronome.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Cognition unfolds dynamically over flexible timescales. A major goal of the field is to understand the computational and neurobiological principles that enable this flexibility. Here, we argue that the neurobiology of timing provides a platform for tackling these questions. We begin with an overview of proposed coding schemes for the representation of elapsed time, highlighting their computational properties. We then leverage the one-dimensional and unidirectional nature of time to highlight common principles across these coding schemes. These principles facilitate a precise formulation of questions related to the flexible control, variability, and calibration of neural dynamics. We review recent work that demonstrates how dynamical systems analysis of thalamocortical population activity in timing tasks has provided fundamental insights into how the brain calibrates and flexibly controls neural dynamics. We conclude with speculations about the architectural biases and neural substrates that support the control and calibration of neural dynamics more generally.
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Registered trials
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.