ArticleFrontiers in computational neuroscience2010
Pooling and correlated neural activity.
Article in Frontiers in computational neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- State modulation in spatial networks with three interneuron subtypes.Science advances · 2025Article
- Nonlinear System Identification of Neural Systems from Neurophysiological Signals.Neuroscience · 2021Review
- A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system.PLoS computational biology · 2017Article
- Visual Decisions in the Presence of Measurement and Stimulus Correlations.Neural computation · 2015Article
- Neuronal variability in orbitofrontal cortex during economic decisions.Journal of neurophysiology · 2015Article
- Role of input correlations in shaping the variability and noise correlations of evoked activity in the neocortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Existence and control of Go/No-Go decision transition threshold in the striatum.PLoS computational biology · 2015Article
- Oscillation-induced signal transmission and gating in neural circuits.PLoS computational biology · 2014Article
- Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings.Journal of computational neuroscience · 2014Article
- Communication through resonance in spiking neuronal networks.PLoS computational biology · 2014Article
- Correlated neuronal activity and its relationship to coding, dynamics and network architecture.Frontiers in computational neuroscience · 2014Article
- Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations.Journal of neurophysiology · 2013Article
- Propagating synchrony in feed-forward networks.Frontiers in computational neuroscience · 2013Article
- A generative spike train model with time-structured higher order correlations.Frontiers in computational neuroscience · 2013Article
- Correlations in background activity control persistent state stability and allow execution of working memory tasks.Frontiers in computational neuroscience · 2013Article
- A-current and type I/type II transition determine collective spiking from common input.Journal of neurophysiology · 2012Article
- Finite volume and asymptotic methods for stochastic neuron models with correlated inputs.Journal of mathematical biology · 2012Article
- The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.PLoS computational biology · 2012Article
- Measuring and interpreting neuronal correlations.Nature neuroscience · 2011Review
- How structure determines correlations in neuronal networks.PLoS computational biology · 2011Article
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3 authors.
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Abstract
Correlations between spike trains can strongly modulate neuronal activity and affect the ability of neurons to encode information. Neurons integrate inputs from thousands of afferents. Similarly, a number of experimental techniques are designed to record pooled cell activity. We review and generalize a number of previous results that show how correlations between cells in a population can be amplified and distorted in signals that reflect their collective activity. The structure of the underlying neuronal response can significantly impact correlations between such pooled signals. Therefore care needs to be taken when interpreting pooled recordings, or modeling networks of cells that receive inputs from large presynaptic populations. We also show that the frequently observed runaway synchrony in feedforward chains is primarily due to the pooling of correlated inputs.
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