ArticlePNAS nexus2024
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms.
Article in PNAS nexus, 2024. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Fast reconstruction of degenerate populations of conductance-based neuron models from spike times.PLoS computational biology · 2026Article
- Activity-dependent neuromodulation and calcium homeostasis cooperate to produce robust and modulable neuronal function.PLoS computational biology · 2026Article
- Progress in the study of ion channel function, mechanisms, and mathematical modeling in Parkinson's disease.iScience · 2026Review
- Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms.PNAS nexus · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuronal systems maintain stable functions despite large variability in their physiological components. Ion channel expression, in particular, is highly variable in neurons exhibiting similar electrophysiological phenotypes, which raises questions regarding how specific ion channel subsets reliably shape intrinsic properties of neurons. Here, we use detailed conductance-based modeling to explore how stable neuronal function is achieved despite variability in channel composition among neurons. Using dimensionality reduction, we uncover two principal dimensions in the channel conductance space that capture most of the variance of the observed variability. These two dimensions correspond to two sources of variability that originate from distinct physiologically relevant mechanisms underlying the regulation of neuronal activity, providing quantitative insights into how channel composition is linked to the electrophysiological activity of neurons. These insights allow us to understand and design a model-independent, reliable neuromodulation rule for variable neuronal populations.
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Registered trials
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