Minimal requirements for a neuron to coregulate many properties and the implications for ion channel correlations and robustness
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Abstract
Neurons regulate their excitability by adjusting their ion channel levels. Degeneracy – achieving equivalent outcomes (excitability) using different solutions (channel combinations) – facilitates this regulation by enabling a disruptive change in one channel to be offset by compensatory changes in other channels. But neurons must coregulate many properties. Pleiotropy – the impact of one channel on more than one property – complicates regulation because a compensatory ion channel change that restores one property to its target value often disrupts other properties. How then does a neuron simultaneously regulate multiple properties? Here, we demonstrate that of the many channel combinations producing the target value for one property (the single-output solution set), few combinations produce the target value for other properties. Combinations producing the target value for two or more properties (the multioutput solution set) correspond to the intersection between single-output solution sets. Properties can be effectively coregulated only if the number of adjustable channels ( n in ) exceeds the number of regulated properties ( n out ). Ion channel correlations emerge during homeostatic regulation when the dimensionality of solution space ( n in − n out ) is low. Even if each property can be regulated to its target value when considered in isolation, regulation as a whole fails if single-output solution sets do not intersect. Our results also highlight that ion channels must be coadjusted with different ratios to regulate different properties, which suggests that each error signal drives modulatory changes independently, despite those changes ultimately affecting the same ion channels.
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Kumari, S., & Narayanan, R. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00071.2024 · Cited by 6 · see citing works
Srikanth, S., & Narayanan, R. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1241450 · Cited by 4 · see citing works
Naudin, L. (2023) · Journal of Computational Neuroscience · doi:10.1007/s10827-023-00848-w · Cited by 4 · see citing works
Xie, Y., Yang, J., Ratté, S., & Prescott, S. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.04.510784 · Cited by 3 · see citing works
Self-citationSystematizing cellular complexity: A Hilbertian approach to biological problems
Dehghani, N. (2024) · PLOS complex systems. · doi:10.1371/journal.pcsy.0000013 · Cited by 2 · see citing works
Chardon, M. K., Wang, Y. C., García, M., Besler, E., Beauchamp, J. A., D’Mello, M. J., Powers, R. K., & Heckman, C. J. (2023) · eLife · doi:10.7554/elife.90624.2 · Cited by 2 · see citing works
Toward a probabilistic definition of neural cell types
Andriatsilavo, M., & Hassan, B. A. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.103035 · Cited by 1 · see citing works
Yi, G., Cui, J., & Bai, R. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10297-z · Cited by 1 · see citing works
Intrinsic Plasticity Underlies the Malleability of Neural Network Heterogeneity
Trotter, D., Valiante, T. A., & Lefebvre, J. (2026) · PRX Life · doi:10.1103/hrp5-sgvr · Cited by 1 · see citing works
Kendrick, R. M., Linderman, S. W., & Owen, S. F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.26.609746 · Cited by 1 · see citing works
Circuit function is more robust to changes in synaptic than intrinsic conductancesPreprint
Fournier, Z., Alonso, L. M., & Marder, E. E. (2024) · eLife · doi:10.7554/elife.102938.1 · Cited by 1 · see citing works
Rhythmic circuit function is more robust to changes in synaptic than intrinsic conductancesPreprint
Fournier, Z., Alonso, L. M., & Marder, E. E. (2024) · eLife · doi:10.7554/elife.102938 · Cited by 1 · see citing works
Chardon, M. K., Wang, Y. C., García, M., Besler, E., Beauchamp, J. A., D’Mello, M. J., Powers, R. K., & Heckman, C. J. (2023) · eLife · doi:10.7554/elife.90624.1
Xie, Y., Yang, J., Ratté, S., & Prescott, S. A. (2023) · eLife · doi:10.7554/elife.90960.1
Self-citationXie, Y., Yang, J., Ratté, S., & Prescott, S. A. (2024) · eLife · doi:10.7554/elife.90960.2
Self-citationRhythmic circuit function is more robust to changes in synaptic than intrinsic conductances
Fournier, Z., Alonso, L. M., & Marder, E. E. (2025) · eLife · doi:10.7554/elife.102938.3
Rhythmic circuit function is more robust to changes in synaptic than intrinsic conductancesPreprint
Fournier, Z., Alonso, L. M., & Marder, E. E. (2025) · eLife · doi:10.7554/elife.102938.2
Roy, A., & Prescott, S. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.10.693436
Self-citationElectrical activity in a memristor synapse-coupled astrocyte-neuronal motif
Li, F., Gan, Y., Li, C., & Su, P. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-12434-7
HCN channels enhance synchrony propagation in heterogeneous synfire chainsPreprint
Saini, S., & Narayanan, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.28.728444
Rafi, M. (2026) · Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)
- Authors
- Yang, J., Shakil, H., Ratté, S., & Prescott, S. A.
- Affiliations
- University of Toronto (CA)
- Great Ormond Street Hospital (GB)
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2022-03-16
- Volume
- 11
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC8986315
- OpenAlex
- W4220827944
- Cited by
- 41
- References
- 90
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 12 · 2023: 14 · 2022: 4 · 2021: 1
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Canadian Institutes of Health Research (Foundation Grant 167276)
- Natural Sciences and Engineering Research Council of Canada (Discovery Grant RGPIN 436168)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Keywords
- neuronal excitability, ion channel modulation, degeneracy, pleiotropy, homeostatic regulation, solution space, error signal, robustness
- MeSH terms
- Homeostasis, Ion Channels, Neurons
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