ArticlePLoS computational biology2011
Balanced synaptic input shapes the correlation between neural spike trains.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish.PLoS computational biology · 2023Article
- Spike-frequency adaptation inhibits the pairwise spike correlation.Frontiers in neuroscience · 2023Article
- The autism spectrum disorder risk geneFrontiers in neuroscience · 2023Article
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- Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data.PLoS computational biology · 2021Article
- Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons.PLoS computational biology · 2020Article
- Mechanisms underlying gain modulation in the cortex.Nature reviews. Neuroscience · 2020Review
- Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic InputsThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Selective attenuation of Ether-a-go-go related KeLife · 2019Article
- Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits.Trends in neurosciences · 2018Review
- 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
- Neurons as oscillators.Journal of neurophysiology · 2016Review
- The mechanics of state-dependent neural correlations.Nature neuroscience · 2016Review
- Balanced feedforward inhibition and dominant recurrent inhibition in olfactory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Burst Firing Enhances Neural Output Correlation.Frontiers in computational neuroscience · 2016Article
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4 authors.
Funding
Abstract
Stimulus properties, attention, and behavioral context influence correlations between the spike times produced by a pair of neurons. However, the biophysical mechanisms that modulate these correlations are poorly understood. With a combined theoretical and experimental approach, we show that the rate of balanced excitatory and inhibitory synaptic input modulates the magnitude and timescale of pairwise spike train correlation. High rate synaptic inputs promote spike time synchrony rather than long timescale spike rate correlations, while low rate synaptic inputs produce opposite results. This correlation shaping is due to a combination of enhanced high frequency input transfer and reduced firing rate gain in the high input rate state compared to the low state. Our study extends neural modulation from single neuron responses to population activity, a necessary step in understanding how the dynamics and processing of neural activity change across distinct brain states.
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