ArticlePLoS computational biology2019
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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46 citing papers in PubMed.
- Strong and localized recurrence controls the dimensionality of neural activity across brain areas.Nature neuroscience · 2026Article
- Assistive algorithms influence neural representations in motor brain-computer interfaces.Nature communications · 2026Article
- Parkinsonism disrupts the population-level organization of cortical dynamics.bioRxiv : the preprint server for biology · 2026Article
- Attractor-Based Models for Sequences and Pattern Generation in Neural Circuits.Neural computation · 2026Article
- Structured interconnectivity optimizes neural geometry for balancing specificity and generalization in object recognition.Communications biology · 2025Article
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- Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks.bioRxiv : the preprint server for biology · 2025Article
- From Chaos to Coherence: Effects of High-Order Synaptic Correlations on Neural Dynamics.ArXiv · 2025Article
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- Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.Nature neuroscience · 2025Article
- Hierarchy of Chaotic Dynamics in Random Modular Networks.Physical review letters · 2025Article
- Assistive sensory-motor perturbations influence learned neural representations.bioRxiv : the preprint server for biology · 2025Article
- Temporal resolution of spike coding in feedforward networks with signal convergence and divergence.PLoS computational biology · 2025Article
- Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex.eLife · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Orthogonalization of spontaneous and stimulus-driven activity by hierarchical neocortical areal network in primates.Nature communications · 2024Article
- Article
- Automated customization of large-scale spiking network models to neuronal population activity.Nature computational science · 2024Article
- Dynamic gating of perceptual flexibility by non-classically responsive cortical neurons.Research square · 2024Article
- Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance.Nature communications · 2024Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The dimensionality of a network's collective activity is of increasing interest in neuroscience. This is because dimensionality provides a compact measure of how coordinated network-wide activity is, in terms of the number of modes (or degrees of freedom) that it can independently explore. A low number of modes suggests a compressed low dimensional neural code and reveals interpretable dynamics [1], while findings of high dimension may suggest flexible computations [2, 3]. Here, we address the fundamental question of how dimensionality is related to connectivity, in both autonomous and stimulus-driven networks. Working with a simple spiking network model, we derive three main findings. First, the dimensionality of global activity patterns can be strongly, and systematically, regulated by local connectivity structures. Second, the dimensionality is a better indicator than average correlations in determining how constrained neural activity is. Third, stimulus evoked neural activity interacts systematically with neural connectivity patterns, leading to network responses of either greater or lesser dimensionality than the stimulus.
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