Voltage oscillations in the barnacle giant muscle fiber
Open accessAbstract
Barnacle muscle fibers subjected to constant current stimulation produce a variety of types of oscillatory behavior when the internal medium contains the Ca++ chelator EGTA. Oscillations are abolished if Ca++ is removed from the external medium, or if the K+ conductance is blocked. Available voltage-clamp data indicate that the cell's active conductance systems are exceptionally simple. Given the complexity of barnacle fiber voltage behavior, this seems paradoxical. This paper presents an analysis of the possible modes of behavior available to a system of two noninactivating conductance mechanisms, and indicates a good correspondence to the types of behavior exhibited by barnacle fiber. The differential equations of a simple equivalent circuit for the fiber are dealt with by means of some of the mathematical techniques of nonlinear mechanics. General features of the system are (a) a propensity to produce damped or sustained oscillations over a rather broad parameter range, and (b) considerable latitude in the shape of the oscillatory potentials. It is concluded that for cells subject to changeable parameters (either from cell to cell or with time during cellular activity), a system dominated by two noninactivating conductances can exhibit varied oscillatory and bistable behavior.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 Morris-Lecar model has only two voltage-dependent currents: an inward Ca2+ current that depolarizes the cell, and an outward K+ current that hyperpolarizes it.
“The Morris-Lecar model has only two voltagedependent currents, an inward Ca 2+ current that depolarizes the cell, and an outward K + current that hyperpolarizes it.”
From A feature and not a bug: Replication failures can lead to new biology (2026) · cites this paper as [39]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 3
- FitzHugh, R. 1969. Mathematical models of excitation and propagation in nerve. In Biological Engineering. H. P. Schwann, editor, McGraw-Hill Publications, New York.
- Knott, G. 1979. MLAB: An On-line Modeling Laboratory. 8th edition. Division of Computer Research and Technology, National Institutes of Health (NIH), Bethesda, Md.
- Pavlides, T. 1973. Biological oscillators: their mathematical analysis. Academic Press, Inc., New York.
Cited by
Sorted by citations
Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415 · see citing works
The dynamic brain: from spiking neurons to neural masses and cortical fields
Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., & Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000092 · Cited by 1,084 · see citing works
Type I membranes, phase resetting curves, and synchrony
Ermentrout, B. (1996) · Neural Computation · doi:10.1162/neco.1996.8.5.979 · Cited by 1,001 · see citing works
Grossberg, S. (2013) · Scholarpedia · doi:10.4249/scholarpedia.1888 · Cited by 602 · see citing works
Exploring the network dynamics underlying brain activity during rest
Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351 · see citing works
Mathematical framework for large-scale brain network modeling in The Virtual Brain
Sanz-Leon, P., Knock, S. A., Spiegler, A., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.002 · Cited by 356 · see citing works
Dynamical consequences of lesions in cortical networks
Honey, C. J., & Sporns, O. (2008) · Human Brain Mapping · doi:10.1002/hbm.20579 · Cited by 353 · see citing works
Dynamic causal modelling: A critical review of the biophysical and statistical foundations
Daunizeau, J., David, O., & Stephan, K. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.062 · Cited by 331 · see citing works
Activity-dependent regulation of conductances in model neurons
LeMasson, G., Marder, E., & Abbott, L. F. (1993) · Science · doi:10.1126/science.8456317 · Cited by 323 · see citing works
Neural masses and fields in dynamic causal modeling
Moran, R., Pinotsis, D. A., & Friston, K. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00057 · Cited by 255 · see citing works
Phase-response curves and synchronized neural networks
Smeal, R. M., Ermentrout, G. B., & White, J. A. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0292 · Cited by 198 · see citing works
Downregulation of Parvalbumin at Cortical GABA Synapses Reduces Network Gamma Oscillatory Activity
Volman, V., Behrens, M. M., & Sejnowski, T. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3041-11.2011 · Cited by 164 · see citing works
An in vivo assay of synaptic function mediating human cognition
Moran, R. J., Symmonds, M., Stephan, K. E., Friston, K. J., & Dolan, R. J. (2011) · Current Biology · doi:10.1016/j.cub.2011.06.053 · Cited by 137 · see citing works
Computational and dynamic models in neuroimaging
Friston, K. J., & Dolan, R. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.068 · Cited by 131 · see citing works
"Dynamic" Connectivity in Neural Systems
Breakspear, M. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:205 · Cited by 113 · see citing works
Amiri, M., Hosseinmardi, N., Bahrami, F., & Janahmadi, M. (2013) · Journal of Computational Neuroscience · doi:10.1007/s10827-012-0432-6 · Cited by 99 · 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
Hipólito, I., Ramstead, M. J. D., Convertino, L., Bhat, A., Friston, K., & Parr, T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.003 · Cited by 79 · see citing works
Consistent spectral predictors for dynamic causal models of steady-state responses
Moran, R. J., Stephan, K. E., Dolan, R. J., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.012 · Cited by 75 · see citing works
Lundstrom, B. N., Famulare, M., Sorensen, L. B., Spain, W. J., & Fairhall, A. L. (2009) · Journal of Computational Neuroscience · doi:10.1007/s10827-009-0142-x · Cited by 53 · see citing works
Regulation of Cortical Dynamic Range by Background Synaptic Noise and Feedforward Inhibition
Khubieh, A., Ratté, S., Lankarany, M., & Prescott, S. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv157 · Cited by 23 · see citing works
Berndt, L. C. S., Singh, K. D., & Shaw, A. D. (2026) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf149 · Cited by 3 · see citing works
A feature and not a bug: Replication failures can lead to new biology
Marder, E. (2026) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2026.103268
- Authors
- Morris, C., & Lecar, H.
- ORCID
- Morris, C.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 1981-07
- Volume
- 35
- Issue
- 1
- Pages
- 193-213
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC1327511
- OpenAlex
- W2046424015
- Cited by
- 2,302
- References
- 0
- Citations by year
- 2026: 94 · 2025: 137 · 2024: 132 · 2023: 117 · 2022: 160 · 2021: 111 · 2020: 122 · 2019: 121 · 2018: 95 · 2017: 97 · 2016: 77 · 2015: 89 · 2014: 98 · 2013: 101 · 2012: 87
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- voltage oscillations, calcium oscillations, EGTA, calcium chelation, potassium conductance, bistability, equivalent circuit model, nonlinear dynamics, damped oscillations, sustained oscillations, constant current stimulation
- MeSH terms
- Action Potentials, Animals, Thoracica, Calcium, Electric Conductivity, Models, Biological, Muscles, Potassium, Sarcolemma
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
