ArticlePLoS computational biology2022
Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Increased Perceptual Reliability Reduces Membrane Potential Variability in Cortical Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A doubly stochastic renewal framework for partitioning spiking variability.Nature communications · 2025Article
- Value-Based Search Efficiency Is Encoded in the Substantia Nigra Reticulata Firing Rate, Spiking Irregularity and Local Field Potential.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Prefrontal cortex encodes value pop-out in visual search.iScience · 2023Article
- Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions.PLoS computational biology · 2022Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stimulus presentation is believed to quench neural response variability as measured by fano-factor (FF). However, the relative contributions of within-trial spike irregularity and trial-to-trial rate variability to FF fluctuations have remained elusive. Here, we introduce a principled approach for accurate estimation of spiking irregularity and rate variability in time for doubly stochastic point processes. Consistent with previous evidence, analysis showed stimulus-induced reduction in rate variability across multiple cortical and subcortical areas. However, unlike what was previously thought, spiking irregularity, was not constant in time but could be enhanced due to factors such as bursting abating the quench in the post-stimulus FF. Simulations confirmed plausibility of a time varying spiking irregularity arising from within and between pool correlations of excitatory and inhibitory neural inputs. By accurate parsing of neural variability, our approach reveals previously unnoticed changes in neural response variability and constrains candidate mechanisms that give rise to observed rate variability and spiking irregularity within brain regions.
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Registered trials
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