ArticlePLoS computational biology2012
The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- What is the dynamical regime of cerebral cortex?Neuron · 2021Review
- Inferring and validating mechanistic models of neural microcircuits based on spike-train data.Nature communications · 2019Article
- Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019Article
- Article
- Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.Journal of computational neuroscience · 2018Article
- Population Coding and Correlated Variability in Electrosensory Pathways.Frontiers in integrative neuroscience · 2018Review
- A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system.PLoS computational biology · 2017Article
- Differential receptive field organizations give rise to nearly identical neural correlations across three parallel sensory maps in weakly electric fish.PLoS computational biology · 2017Article
- Locking of correlated neural activity to ongoing oscillations.PLoS computational biology · 2017Article
- Article
- Adaptation to second order stimulus features by electrosensory neurons causes ambiguity.Scientific reports · 2016Article
- Neural correlations enable invariant coding and perception of natural stimuli in weakly electric fish.eLife · 2016Article
- The mechanics of state-dependent neural correlations.Nature neuroscience · 2016Review
- Balanced ionotropic receptor dynamics support signal estimation via voltage-dependent membrane noise.Journal of neurophysiology · 2016Article
- Burst Firing in the Electrosensory System of Gymnotiform Weakly Electric Fish: Mechanisms and Functional Roles.Frontiers in computational neuroscience · 2016Review
- Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses.PLoS computational biology · 2015Article
- Coding of envelopes by correlated but not single-neuron activity requires neural variability.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Coding stimulus amplitude by correlated neural activity.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015Article
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3 authors.
Funding
Abstract
Throughout the central nervous system, the timescale over which pairs of neural spike trains are correlated is shaped by stimulus structure and behavioral context. Such shaping is thought to underlie important changes in the neural code, but the neural circuitry responsible is largely unknown. In this study, we investigate a stimulus-induced shaping of pairwise spike train correlations in the electrosensory system of weakly electric fish. Simultaneous single unit recordings of principal electrosensory cells show that an increase in the spatial extent of stimuli increases correlations at short (≈ 10 ms) timescales while simultaneously reducing correlations at long (≈ 100 ms) timescales. A spiking network model of the first two stages of electrosensory processing replicates this correlation shaping, under the assumptions that spatially broad stimuli both saturate feedforward afferent input and recruit an open-loop inhibitory feedback pathway. Our model predictions are experimentally verified using both the natural heterogeneity of the electrosensory system and pharmacological blockade of descending feedback projections. For weak stimuli, linear response analysis of the spiking network shows that the reduction of long timescale correlation for spatially broad stimuli is similar to correlation cancellation mechanisms previously suggested to be operative in mammalian cortex. The mechanism for correlation shaping supports population-level filtering of irrelevant distractor stimuli, thereby enhancing the population response to relevant prey and conspecific communication inputs.
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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.