ArticleNature neuroscience2021
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification.
Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed, 166 citations in OpenAlex.
- Deep Brain Stimulation for Depression Informed by Intracranial Recordings.Biological psychiatry · 2022Trial
- Sparse component analysis: A method that uncovers separable computations within neural population activity.Neuron · 2026Article
- Benchmarking criteria to determine latent linear dimensionality in neural data.Scientific reports · 2026Article
- Intracortical brain-computer interface for navigation in virtual reality in macaque monkeys.Science advances · 2026Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Nature communications · 2026Article
- An intracortical brain-machine interface based on macaque ventral premotor activity.Scientific reports · 2026Article
- Exploiting correlations across trials and behavioral sessions to improve neural decoding.Neuron · 2026Article
- Facial gestures are enacted through a cortical hierarchy of dynamic and stable codes.Science (New York, N.Y.) · 2026Article
- Leveraging insights from neuroscience to build adaptive artificial intelligence.Nature neuroscience · 2026Review
- Model Predictive Control on the Neural Manifold.Neural computation · 2025Article
- Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold.Patterns (New York, N.Y.) · 2025Article
- A software platform for real-time and adaptive neuroscience experiments.Nature communications · 2025Article
- Neuroscience of Behavior.NeuroSci · 2025Review
- Article
- Selective coupling and decoupling coordinate distributed brain networks for precise action.bioRxiv : the preprint server for biology · 2025Article
- Exploiting correlations across trials and behavioral sessions to improve neural decoding.bioRxiv : the preprint server for biology · 2025Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.ArXiv · 2025Article
- Article
- Peripheral neural interfaces for reading high-frequency brain signals.Nature biomedical engineering · 2025Review
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Neural activity exhibits complex dynamics related to various brain functions, internal states and behaviors. Understanding how neural dynamics explain specific measured behaviors requires dissociating behaviorally relevant and irrelevant dynamics, which is not achieved with current neural dynamic models as they are learned without considering behavior. We develop preferential subspace identification (PSID), which is an algorithm that models neural activity while dissociating and prioritizing its behaviorally relevant dynamics. Modeling data in two monkeys performing three-dimensional reach and grasp tasks, PSID revealed that the behaviorally relevant dynamics are significantly lower-dimensional than otherwise implied. Moreover, PSID discovered distinct rotational dynamics that were more predictive of behavior. Furthermore, PSID more accurately learned behaviorally relevant dynamics for each joint and recording channel. Finally, modeling data in two monkeys performing saccades demonstrated the generalization of PSID across behaviors, brain regions and neural signal types. PSID provides a general new tool to reveal behaviorally relevant neural dynamics that can otherwise go unnoticed.
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