ArticleFrontiers in computational neuroscience2016
Burst Firing Enhances Neural Output Correlation.
Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Comparison of alterations in local field potentials and neuronal firing in mouse M1 and CA1 associated with central fatigue induced by high-intensity interval training and moderate-intensity continuous training.Frontiers in neuroscience · 2024Article
- Deficits in integrative NMDA receptors caused by Grin1 disruption can be rescued in adulthood.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Burst and Memory-aware Transformer: capturing temporal heterogeneity.Frontiers in computational neuroscience · 2023Article
- Neural Burst Firing and Its Roles in Mental and Neurological Disorders.Frontiers in cellular neuroscience · 2021Article
- Synchrony of Spontaneous Burst Firing between Retinal Ganglion Cells Across Species.Experimental neurobiology · 2020Article
- Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents.Frontiers in computational neuroscience · 2020Article
- Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate.Frontiers in computational neuroscience · 2020Article
- Odorant mixtures elicit less variable and faster responses than pure odorants.PLoS computational biology · 2018Article
- Neural Coding With Bursts-Current State and Future Perspectives.Frontiers in computational neuroscience · 2018Review
- Co-emergence of multi-scale cortical activities of irregular firing, oscillations and avalanches achieves cost-efficient information capacity.PLoS computational biology · 2017Article
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4 authors.
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Abstract
Neurons communicate and transmit information predominantly through spikes. Given that experimentally observed neural spike trains in a variety of brain areas can be highly correlated, it is important to investigate how neurons process correlated inputs. Most previous work in this area studied the problem of correlation transfer analytically by making significant simplifications on neural dynamics. Temporal correlation between inputs that arises from synaptic filtering, for instance, is often ignored when assuming that an input spike can at most generate one output spike. Through numerical simulations of a pair of leaky integrate-and-fire (LIF) neurons receiving correlated inputs, we demonstrate that neurons in the presence of synaptic filtering by slow synapses exhibit strong output correlations. We then show that burst firing plays a central role in enhancing output correlations, which can explain the above-mentioned observation because synaptic filtering induces bursting. The observed changes of correlations are mostly on a long time scale. Our results suggest that other features affecting the prevalence of neural burst firing in biological neurons, e.g., adaptive spiking mechanisms, may play an important role in modulating the overall level of correlations in neural networks.
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