ArticleNature communications2021
Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 71 citations in OpenAlex.
- Distributed Wireless Neural Recording System for Multi-Region Brain Activity Monitoring.Biosensors · 2026Article
- Decoupling simultaneous motor imagination and execution via orthogonal ECoG neural representations.Nature communications · 2026Article
- Interactively Integrating Reach and Grasp Information in Macaque Premotor Cortex.Neuroscience bulletin · 2025Article
- Article
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
- Hand position fields of neurons in the premotor cortex of macaques during natural reaching.Nature communications · 2025Article
- BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data.... International Conference on Learning Representations · 2025Article
- Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling.Advances in neural information processing systems · 2025Article
- Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference.Advances in neural information processing systems · 2025Article
- Cortico-striatal beta oscillations as a reward-related signal.Cognitive, affective & behavioral neuroscience · 2024Article
- Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks.Nature neuroscience · 2024Article
- Brain-computer interfaces for neuropsychiatric disorders.Nature reviews bioengineering · 2024Article
- Event detection and classification from multimodal time series with application to neural data.Journal of neural engineering · 2024Article
- Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics.Scientific reports · 2024Article
- Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity.Journal of neural engineering · 2024Article
- Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Dynamical flexible inference of nonlinear latent factors and structures in neural population activity.Nature biomedical engineering · 2024Article
- Unsupervised learning of stationary and switching dynamical system models from Poisson observations.Journal of neural engineering · 2023Article
- Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems.Entropy (Basel, Switzerland) · 2023Article
- Decoding Depression Severity From Intracranial Neural Activity.Biological psychiatry · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Motor function depends on neural dynamics spanning multiple spatiotemporal scales of population activity, from spiking of neurons to larger-scale local field potentials (LFP). How multiple scales of low-dimensional population dynamics are related in control of movements remains unknown. Multiscale neural dynamics are especially important to study in naturalistic reach-and-grasp movements, which are relatively under-explored. We learn novel multiscale dynamical models for spike-LFP network activity in monkeys performing naturalistic reach-and-grasps. We show low-dimensional dynamics of spiking and LFP activity exhibited several principal modes, each with a unique decay-frequency characteristic. One principal mode dominantly predicted movements. Despite distinct principal modes existing at the two scales, this predictive mode was multiscale and shared between scales, and was shared across sessions and monkeys, yet did not simply replicate behavioral modes. Further, this multiscale mode's decay-frequency explained behavior. We propose that multiscale, low-dimensional motor cortical state dynamics reflect the neural control of naturalistic reach-and-grasp behaviors.
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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.