Activity-dependent regulation of conductances in model neurons
Abstract
Neurons maintain their electrical activity patterns despite channel turnover, cell growth, and variable extracellular conditions. A model is presented in which maximal conductances of ionic currents depend on the intracellular concentration of calcium ions and so, indirectly, on activity. Model neurons with activity-dependent maximal conductances modify their conductances to maintain a given behavior when perturbed. Moreover, neurons that are described by identical sets of equations can develop different properties in response to different patterns of presynaptic activity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The framework starts from a hypothetical scheme for autoregulation of neuronal firing proposed by Abbott, Golowasch, Marder, and Turrigiano.
“The starting point is a hypothetical scheme for the autoregulation of neuronal firing, proposed by Abbott, Golowasch, Marder, and Turrigiano at Brandeis in a prescient series of papers two decades ago (LeMasson et al., 1993; Marder et al., 1996; Siegel et al., 1994) (Fig. 1).”
From Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops (2016) · cites this paper as LeMasson et al., 1993
Cites
Morgan, J., & Curran, T. (1991) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.14.030191.002225 · Cited by 2,689 · see citing works
The regulation and function of c-fos and other immediate early genes in the nervous system
Sheng, M., & Greenberg, M. E. (1990) · Neuron · doi:10.1016/0896-6273(90)90106-p · Cited by 2,432 · see citing works
Voltage oscillations in the barnacle giant muscle fiber
Morris, C., & Lecar, H. (1981) · Biophysical Journal · doi:10.1016/s0006-3495(81)84782-0 · Cited by 2,302 · see citing works
Calcium messenger system: an integrated view.
Rasmussen, H., & Barrett, P. Q. (1984) · Physiological Reviews · doi:10.1152/physrev.1984.64.3.938 · Cited by 915 · see citing works
Patterned Activity, Synaptic Convergence, and the NMDA Receptor in Developing Visual Pathways
Constantine-Paton, M., Cline, H. T., & Debski, E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.001021 · Cited by 784 · see citing works
L-type voltage-sensitive calcium channels mediate synaptic activation of immediate early genes
Murphy, T. H., Worley, P. F., & Baraban, J. M. (1991) · Neuron · doi:10.1016/0896-6273(91)90375-a · Cited by 424 · see citing works
An enzymatic mechanism for calcium current inactivation in dialysed Helix neurones.
Chad, J. E., & Eckert, R. (1986) · The Journal of Physiology · doi:10.1113/jphysiol.1986.sp016206 · Cited by 407 · see citing works
Regulation of neuronal function by calcium
Kennedy, M. B. (1989) · Trends in Neurosciences · doi:10.1016/0166-2236(89)90089-1 · Cited by 306 · see citing works
The role of protein kinase C in the regulation of ion channels and neurotransmitter release
Kaczmarek, L. K. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90122-6 · Cited by 306 · see citing works
Dissection of a model for neuronal parabolic bursting
Rinzel, J., & Lee, Y. S. (1987) · Journal of Mathematical Biology · doi:10.1007/bf00275501 · Cited by 263 · see citing works
Neuromodulation : the biochemical control of neuronal excitability
Kaczmarek, L. K., & Levitan, I. B. (1987) · Oxford University Press eBooks · Cited by 233 · see citing works
Ionic currents of the lateral pyloric neuron of the stomatogastric ganglion of the crab
Golowasch, J., & Marder, E. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.67.2.318 · Cited by 185 · see citing works
Self-citationPlant, R. E., & Kim, M. (1976) · Biophysical Journal · doi:10.1016/s0006-3495(76)85683-4 · Cited by 152 · see citing works
Mathematical model of an identified stomatogastric ganglion neuron
Buchholtz, F., Golowasch, J., Epstein, I. R., & Marder, E. E. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.67.2.332 · Cited by 130 · see citing works
Self-citationLong-term regulation of neuronal calcium currents by prolonged changes of membrane potential
Franklin, J. L., Fickbohm, D., & Willard, A. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-05-01726.1992 · Cited by 94 · see citing works
Contribution of individual ionic currents to activity of a model stomatogastric ganglion neuron
Golowasch, J., Buchholtz, F., Epstein, I. R., & Marder, E. E. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.67.2.341 · Cited by 91 · see citing works
Self-citationAnalysis of Neuron Models with Dynamically Regulated Conductances
Abbott, L. F., & Masson, G. L. (1993) · Neural Computation · doi:10.1162/neco.1993.5.6.823 · Cited by 90 · see citing works
Self-citationChanges in Intracellular Calcium During Neuron Activity
Ross, W. N. (1989) · Annual Review of Physiology · doi:10.1146/annurev.ph.51.030189.002423 · Cited by 65 · see citing works
Multiple modes of a conditional neural oscillator
Epstein, I. R., & Marder, E. E. (1990) · Biological Cybernetics · doi:10.1007/bf00202450 · Cited by 47 · see citing works
Self-citationHemmick, L., Perney, T., Flamm, R., et al. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-06-02007.1992 · Cited by 30 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564 · see citing works
Homeostatic plasticity in the developing nervous system
Turrigiano, G. G., & Nelson, S. B. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1327 · Cited by 2,485 · see citing works
The self-tuning neuron: synaptic scaling of excitatory synapses
Turrigiano, G. G. (2008) · Cell · doi:10.1016/j.cell.2008.10.008 · Cited by 1,533 · see citing works
Plasticity in the intrinsic excitability of cortical pyramidal neurons
Desai, N. S., Rutherford, L. C., & Turrigiano, G. G. (1999) · Nature Neuroscience · doi:10.1038/9165 · Cited by 806 · see citing works
Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement
Turrigiano, G. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153238 · Cited by 671 · see citing works
Marder, E., O'Leary, T., & Shruti, S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-013958 · Cited by 262 · see citing works
Self-citationMemory from the dynamics of intrinsic membrane currents
Marder, E., Abbott, L. F., Turrigiano, G. G., Liu, Z., & Golowasch, J. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13481 · Cited by 281 · see citing works
Self-citationWalters, E. T. (1994) · International Review of Neurobiology · doi:10.1016/s0074-7742(08)60307-4 · Cited by 206 · see citing works
Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops
Mullins, C., Fishell, G., & Tsien, R. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.017 · Cited by 167 · see citing works
Activity-dependent current distributions in model neurons
Siegel, M., Marder, E., & Abbott, L. F. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.24.11308 · Cited by 91 · see citing works
Self-citationHomeostatic mechanisms regulate distinct aspects of cortical circuit dynamics
Wu, Y. K., Hengen, K. B., Turrigiano, G. G., & Gjorgjieva, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1918368117 · Cited by 86 · see citing works
A biophysical perspective on the resilience of neuronal excitability across timescales
Marom, S., & Marder, E. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00730-9 · Cited by 59 · see citing works
Self-citationSynaptic reorganization in scaled networks of controlled size.
Wilson, N. R., Ty, M. T., Ingber, D. E., Sur, M., & Liu, G. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3863-07.2007 · Cited by 52 · see citing works
Yang, J., Shakil, H., Ratté, S., & Prescott, S. A. (2022) · eLife · doi:10.7554/elife.72875 · Cited by 41 · see citing works
Degeneracy in the nervous system: From neuronal excitability to neural coding
Kamaleddin, M. A. (2022) · BioEssays · doi:10.1002/bies.202100148 · Cited by 24 · see citing works
Bialek, W. (2007) · Les Houches - Ecole d’Ete de Physique Theorique · doi:10.1007/3-540-45701-1_12 · Cited by 16 · see citing works
- Authors
- LeMasson, G., Marder, E., & Abbott, L. F.
- Affiliations
- Center for Complex Systems, Brandeis University, Waltham, MA 02254.
- Brandeis University (US)
- Venue
- Science
- Published
- 1993-03-26
- Volume
- 259
- Issue
- 5103
- Pages
- 1915-1917
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2016770416
- Cited by
- 323
- References
- 20
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 4 · 2023: 8 · 2022: 10 · 2021: 10 · 2020: 9 · 2019: 9 · 2018: 10 · 2017: 10 · 2016: 7 · 2015: 13 · 2014: 11 · 2013: 7 · 2012: 11
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (MH 46742)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- activity-dependent regulation, ionic conductance, calcium ions, maximal conductance, model neurons, neuronal excitability, presynaptic activity
- MeSH terms
- Animals, Calcium, Electric Conductivity, Electric Stimulation, Feedback, Models, Biological, Neurons, Potassium, Sodium, Second Messenger Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
