ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.
Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Article
- Article
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- Motor Cortical Computations Underlying Natural Dexterous Movement in Freely Flying Bats.bioRxiv : the preprint server for biology · 2026Article
- Continuous input drives motor cortical dynamics during reaching.Research square · 2026Article
- State-Dependent Dissociation of Shared Input and Directed Information Flow in the Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Analyzing rescaling, discretization, and linearization in RNNs for neural system modeling.Frontiers in computational neuroscience · 2026Article
- Cross-subject mapping of neural activity with restricted Boltzmann machines.Frontiers in computational neuroscience · 2026Article
- Interactively Integrating Reach and Grasp Information in Macaque Premotor Cortex.Neuroscience bulletin · 2025Article
- Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features.Scientific reports · 2025Article
- Making brain-computer interfaces as reliable as muscles.Journal of neural engineering · 2025Review
- Stabilizing brain-computer interfaces through alignment of latent dynamics.Nature communications · 2025Article
- Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem.NPJ digital medicine · 2025Article
- Article
- Whole-brain neural substrates of behavioral variability in the larval zebrafish.bioRxiv : the preprint server for biology · 2025Article
- Rastermap: a discovery method for neural population recordings.Nature neuroscience · 2025Article
- Tracking the topology of neural manifolds across populations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Activity-dependent transcriptional programs in memory regulate motor recovery after stroke.Communications biology · 2024Article
- The speech neuroprosthesis.Nature reviews. Neuroscience · 2024Review
- Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
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Authors and funding
7 authors.
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Abstract
In the 1960s, Evarts first recorded the activity of single neurons in motor cortex of behaving monkeys (Evarts, 1968). In the 50 years since, great effort has been devoted to understanding how single neuron activity relates to movement. Yet these single neurons exist within a vast network, the nature of which has been largely inaccessible. With advances in recording technologies, algorithms, and computational power, the ability to study these networks is increasing exponentially. Recent experimental results suggest that the dynamical properties of these networks are critical to movement planning and execution. Here we discuss this dynamical systems perspective and how it is reshaping our understanding of the motor cortices. Following an overview of key studies in motor cortex, we discuss techniques to uncover the "latent factors" underlying observed neural population activity. Finally, we discuss efforts to use these factors to improve the performance of brain-machine interfaces, promising to make these findings broadly relevant to neuroengineering as well as systems neuroscience.
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