ArticleFrontiers in systems neuroscience2016
Stimuli Reduce the Dimensionality of Cortical Activity.
Article in Frontiers in systems neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
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80 citing papers in PubMed, 155 citations in OpenAlex.
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- Developmental tuning of functional manifold dimensionality across the human brain.bioRxiv : the preprint server for biology · 2026Article
- Anticipatory organization of neural population dynamics speeds behavioral decisions.bioRxiv : the preprint server for biology · 2026Article
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- Benchmarking criteria to determine latent linear dimensionality in neural data.Scientific reports · 2026Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Nature communications · 2026Article
- Control of cortical population activity with patterned microstimulation.bioRxiv : the preprint server for biology · 2026Article
- Iso-orientation bias of layer 2/3 connections unifies spontaneous, visually and optogenetically driven V1 dynamics.Nature communications · 2026Article
- Revisiting the high-dimensional geometry of population responses in the visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Linear and categorical coding units in the mouse gustatory cortex drive population dynamics and behavior in taste decision-making.bioRxiv : the preprint server for biology · 2025Article
- A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets.bioRxiv : the preprint server for biology · 2025Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.bioRxiv : the preprint server for biology · 2025Article
- Development of brain metastable dynamics during the equivalent of the third gestational trimester.Developmental cognitive neuroscience · 2025Review
- Cerebellar output shapes cortical preparatory activity during motor adaptation.Nature communications · 2025Article
- Cerebellar output shapes cortical preparatory activity during motor adaptation.bioRxiv : the preprint server for biology · 2025Article
- Deciphering neuronal variability across states reveals dynamic sensory encoding.Nature communications · 2025Article
- A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets.PloS one · 2025Article
- Article
20 more citing papers are in PubMed but not listed here.
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3 authors at 2 institutions in 1 country.
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Abstract
The activity of ensembles of simultaneously recorded neurons can be represented as a set of points in the space of firing rates. Even though the dimension of this space is equal to the ensemble size, neural activity can be effectively localized on smaller subspaces. The dimensionality of the neural space is an important determinant of the computational tasks supported by the neural activity. Here, we investigate the dimensionality of neural ensembles from the sensory cortex of alert rats during periods of ongoing (inter-trial) and stimulus-evoked activity. We find that dimensionality grows linearly with ensemble size, and grows significantly faster during ongoing activity compared to evoked activity. We explain these results using a spiking network model based on a clustered architecture. The model captures the difference in growth rate between ongoing and evoked activity and predicts a characteristic scaling with ensemble size that could be tested in high-density multi-electrode recordings. Moreover, we present a simple theory that predicts the existence of an upper bound on dimensionality. This upper bound is inversely proportional to the amount of pair-wise correlations and, compared to a homogeneous network without clusters, it is larger by a factor equal to the number of clusters. The empirical estimation of such bounds depends on the number and duration of trials and is well predicted by the theory. Together, these results provide a framework to analyze neural dimensionality in alert animals, its behavior under stimulus presentation, and its theoretical dependence on ensemble size, number of clusters, and correlations in spiking network models.
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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.