ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
Circuit Stability to Perturbations Reveals Hidden Variability in the Balance of Intrinsic and Synaptic Conductances.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 31 citations in OpenAlex.
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- Dynamics of antiphase bursting modulated by the inhibitory synaptic and hyperpolarization-activated cation currents.Frontiers in computational neuroscience · 2024Article
- Gating of homeostatic regulation of intrinsic excitability produces cryptic long-term storage of prior perturbations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair.Communications biology · 2023Review
- Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate.Journal of computational neuroscience · 2023Review
- Energy-efficient network activity from disparate circuit parameters.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Pareto optimality, economy-effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons.Open biology · 2022Review
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- The Consistency of Gastropod Identified Neurons Distinguishes Intra-Individual Plasticity From Inter-Individual Variability in Neural Circuits.Frontiers in behavioral neuroscience · 2022Review
- Neural circuit function redundancy in brain disorders.Current opinion in neurobiology · 2021Review
- Stable continual learning through structured multiscale plasticity manifolds.Current opinion in neurobiology · 2021Review
- Ion-channel degeneracy: Multiple ion channels heterogeneously regulate intrinsic physiology of rat hippocampal granule cells.Physiological reports · 2021Article
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Neurons and circuits each with a distinct balance of intrinsic and synaptic conductances can generate similar behavior but sometimes respond very differently to perturbation. Examining a large family of circuit models with non-identical neurons and synapses underlying rhythmic behavior, we analyzed the circuits' response to modifications in single and multiple intrinsic conductances in the individual neurons. To summarize these changes over the entire range of perturbed parameters, we quantified circuit output by defining a global stability measure. Using this measure, we identified specific subsets of conductances that when perturbed generate similar behavior in diverse individuals of the population. Our unbiased clustering analysis enabled us to quantify circuit stability when simultaneously perturbing multiple conductances as a nonlinear combination of single conductance perturbations. This revealed surprising conductance combinations that can predict the response to specific perturbations, even when the remaining intrinsic and synaptic conductances are unknown. Therefore, our approach can expose hidden variability in the balance of intrinsic and synaptic conductances of the same neurons across different versions of the same circuit solely from the circuit response to perturbations. Developed for a specific family of model circuits, our quantitative approach to characterizing high-dimensional degenerate systems provides a conceptual and analytic framework to guide future theoretical and experimental studies on degeneracy and robustness.
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