ArticlePLoS computational biology2023
Biological complexity facilitates tuning of the neuronal parameter space.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Neuronal excitability and parameter variability in the Hodgkin-Huxley model.PLoS computational biology · 2026Article
- Morphological details contribute to neuronal response variability within the same cell type.Frontiers in cellular neuroscience · 2026Article
- Degeneracy Explains Diversity in Interneuronal Regulation of Pattern Separation in Heterogeneous Dentate Gyrus Networks.Function (Oxford, England) · 2025Article
- The Brain's Best Kept Secret Is Its Degenerate Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Robust and consistent measures of pattern separation based on information theory and demonstrated in the dentate gyrus.PLoS computational biology · 2024Article
- Time-lapse imaging of identified granule cells in the mouse dentate gyrus after entorhinal lesionFrontiers in neuroanatomy · 2024Article
- Controlling morpho-electrophysiological variability of neurons with detailed biophysical models.iScience · 2023Article
- Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair.Communications biology · 2023Review
- Homeostatic regulation of neuronal function: importance of degeneracy and pleiotropy.Frontiers in cellular neuroscience · 2023Review
- Pareto optimality, economy-effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons.Open biology · 2022Review
- A small, computationally flexible network produces the phenotypic diversity of song recognition in crickets.eLife · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The electrical and computational properties of neurons in our brains are determined by a rich repertoire of membrane-spanning ion channels and elaborate dendritic trees. However, the precise reason for this inherent complexity remains unknown, given that simpler models with fewer ion channels are also able to functionally reproduce the behaviour of some neurons. Here, we stochastically varied the ion channel densities of a biophysically detailed dentate gyrus granule cell model to produce a large population of putative granule cells, comparing those with all 15 original ion channels to their reduced but functional counterparts containing only 5 ion channels. Strikingly, valid parameter combinations in the full models were dramatically more frequent at ~6% vs. ~1% in the simpler model. The full models were also more stable in the face of perturbations to channel expression levels. Scaling up the numbers of ion channels artificially in the reduced models recovered these advantages confirming the key contribution of the actual number of ion channel types. We conclude that the diversity of ion channels gives a neuron greater flexibility and robustness to achieve a target excitability.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.