ArticlePLoS computational biology2021
Conventional measures of intrinsic excitability are poor estimators of neuronal activity under realistic synaptic inputs.
Article in PLoS computational biology, 2021. 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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5 citing papers in PubMed, 12 citations in OpenAlex.
- Conserved Kir channel mechanisms governing intrinsic excitability in human and rodent parvalbumin neurons.Communications biology · 2026Article
- Neuronal identity is not static: An input-driven perspective.PLoS computational biology · 2025Article
- Regulation of input excitability in human and mouse parvalbumin interneurons by Kir potassium channels.bioRxiv : the preprint server for biology · 2025Article
- Design of Ultrapotent Genetically Encoded Inhibitors of Kv4.2 for Gating Neural Plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Modulation of SK Channels via Calcium Buffering Tunes Intrinsic Excitability of Parvalbumin Interneurons in Neuropathic Pain: A Computational and Experimental Investigation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
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3 authors at 1 institution in 2 countries.
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Abstract
Activity-dependent regulation of intrinsic excitability has been shown to greatly contribute to the overall plasticity of neuronal circuits. Such neuroadaptations are commonly investigated in patch clamp experiments using current step stimulation and the resulting input-output functions are analyzed to quantify alterations in intrinsic excitability. However, it is rarely addressed, how such changes translate to the function of neurons when they operate under natural synaptic inputs. Still, it is reasonable to expect that a strong correlation and near proportional relationship exist between static firing responses and those evoked by synaptic drive. We challenge this view by performing a high-yield electrophysiological analysis of cultured mouse hippocampal neurons using both standard protocols and simulated synaptic inputs via dynamic clamp. We find that under these conditions the neurons exhibit vastly different firing responses with surprisingly weak correlation between static and dynamic firing intensities. These contrasting responses are regulated by two intrinsic K-currents mediated by Kv1 and Kir channels, respectively. Pharmacological manipulation of the K-currents produces differential regulation of the firing output of neurons. Static firing responses are greatly increased in stuttering type neurons under blocking their Kv1 channels, while the synaptic responses of the same neurons are less affected. Pharmacological blocking of Kir-channels in delayed firing type neurons, on the other hand, exhibit the opposite effects. Our subsequent computational model simulations confirm the findings in the electrophysiological experiments and also show that adaptive changes in the kinetic properties of such currents can even produce paradoxical regulation of the firing output.
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