ArticleNature communications2023
Distributing task-related neural activity across a cortical network through task-independent connections.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Continuous input drives motor cortical dynamics during reaching.Research square · 2026Article
- Multi-scale imaging and recording of in-vivo neural activity.BMB reports · 2026Review
- Article
- Facial gestures are enacted through a cortical hierarchy of dynamic and stable codes.Science (New York, N.Y.) · 2026Article
- Prediction of neural activity in connectome-constrained recurrent networks.Nature neuroscience · 2025Article
- Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification.bioRxiv : the preprint server for biology · 2025Article
- DELTA: a method for brain-wide measurement of synaptic protein turnover reveals localized plasticity during learning.Nature neuroscience · 2025Article
- Article
- Sub-threshold neuronal activity and the dynamical regime of cerebral cortex.Nature communications · 2024Article
- Prediction of neural activity in connectome-constrained recurrent networks.bioRxiv : the preprint server for biology · 2024Article
- Article
- Distributing task-related neural activity across a cortical network through task-independent connections.Nature communications · 2023Article
- A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.Frontiers in neuroinformatics · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Task-related neural activity is widespread across populations of neurons during goal-directed behaviors. However, little is known about the synaptic reorganization and circuit mechanisms that lead to broad activity changes. Here we trained a subset of neurons in a spiking network with strong synaptic interactions to reproduce the activity of neurons in the motor cortex during a decision-making task. Task-related activity, resembling the neural data, emerged across the network, even in the untrained neurons. Analysis of trained networks showed that strong untrained synapses, which were independent of the task and determined the dynamical state of the network, mediated the spread of task-related activity. Optogenetic perturbations suggest that the motor cortex is strongly-coupled, supporting the applicability of the mechanism to cortical networks. Our results reveal a cortical mechanism that facilitates distributed representations of task-variables by spreading the activity from a subset of plastic neurons to the entire network through task-independent strong synapses.
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