The DOI matches its Crossref record.
A quantitative description of membrane current and its application to conduction and excitation in nerve
Open accessAbstract
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“A classic example is the conductance-based Hodgkin–Huxley model (23), which describes how a neuron’s membrane voltage V evolves over time due to ionic currents (Equation 4).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [23]
In the citing paper
“Similarly, according to the standard 'Hodgkin-Huxley' [35] model, biological neurons are 'integrate-and-fire' threshold logic devices in which multiple branched dendrites and a cell body (soma) receive and integrate synaptic inputs as membrane potentials (Fig. 1).”
From Consciousness in the universe (2014) · cites this paper as [35]
In the citing paper
“This model was first described in the seminal work by Hodgkin and Huxley, and modified by Abbot and Kepler59,60.”
From Perineuronal nets decrease membrane capacitance of peritumoral fast spiking interneurons in a model of epilepsy (2018) · cites this paper as [60]
In the citing paper
“The prevailing assumption in both modern science and philosophy is that consciousness arises from complex synaptic computations within neural networks, where brain neurons function as fundamental units of information [1,2].”
From Quantum Models of Consciousness from a Quantum Information Science Perspective (2025) · cites this paper as [2]
Citations
Cited by
Sorted by citations
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Synchronization in complex networks
Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., & Zhou, C. (2008) · Physics Reports · doi:10.1016/j.physrep.2008.09.002 · Cited by 3,713
From molecular to modular cell biology.
Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999) · Nature · doi:10.1038/35011540 · Cited by 3,632
Memristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
Electrical stimulation of excitable tissue: design of efficacious and safe protocols
Merrill, D. R., Bikson, M., & Jefferys, J. G. R. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.10.020 · Cited by 2,078
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426
Basic Mechanisms of Cardiac Impulse Propagation and Associated Arrhythmias
KLÉBER, A. G., & RUDY, Y. (2004) · Physiological Reviews · doi:10.1152/physrev.00025.2003 · Cited by 1,083
Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942
Hameroff, S., & Penrose, R. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2013.08.002 · Cited by 983
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 1,009
“In a keynote address in 2006, I first proposed that several of the brain’s intrinsic networks (what would come to be called the default mode, salience, and frontoparietal control networks) are domain-general or multi-use networks that are involved in constructing emotional episodes (e.g. see Figure…”
Interaction of Tetraethylammonium Ion Derivatives with the Potassium Channels of Giant Axons
Armstrong, C. M. (1971) · The Journal of General Physiology · doi:10.1085/jgp.58.4.413 · Cited by 929
Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.018 · Cited by 809
Memory effects in complex materials and nanoscale systems
Pershin, Y. V., & Di Ventra, M. (2011) · Advances In Physics · doi:10.1080/00018732.2010.544961 · Cited by 823
Brian 2, an intuitive and efficient neural simulator
Stimberg, M., Brette, R., & Goodman, D. F. (2019) · eLife · doi:10.7554/elife.47314 · Cited by 749
Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation
Hu, W., Tian, C., Li, T., Yang, M., Hou, H., & Shu, Y. (2009) · Nature Neuroscience · doi:10.1038/nn.2359 · Cited by 706
Computation Through Neural Population Dynamics
Vyas, S., Golub, M. D., Sussillo, D., & Shenoy, K. V. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092619-094115 · Cited by 671
Chapter 12 Potassium currents in hippocampal pyramidal cells
Storm, J. F. (1990) · Progress in Brain Research · doi:10.1016/s0079-6123(08)61248-0 · Cited by 743
Neuroevolution: from architectures to learning
Floreano, D., Dürr, P., & Mattiussi, C. (2008) · Evolutionary Intelligence · doi:10.1007/s12065-007-0002-4 · Cited by 734
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
Overview of the voltage-gated sodium channel family
Yu (2003) · Genome biology · doi:10.1186/gb-2003-4-3-207 · Cited by 694
If it's pinched it's a memristor
Chua, L. (2014) · Semiconductor Science and Technology · doi:10.1088/0268-1242/29/10/104001 · Cited by 685
Analysis of Models for External Stimulation of Axons
Rattay, F. (1986) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1986.325670 · Cited by 681
Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons
Destexhe, A., Rudolph, M., Fellous, J.-M., & Sejnowski, T. J. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00344-x · Cited by 642
Brain-inspired computing needs a master plan
Mehonic, A., & Kenyon, A. J. (2022) · Nature · doi:10.1038/s41586-021-04362-w · Cited by 632
Emerging principles governing the operation of neural networks
Getting, P. A. (1989) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.12.030189.001153 · Cited by 623
Parameter estimation for differential equations: a generalized smoothing approach
Ramsay, J. O., Hooker, G., Campbell, D., & Cao, J. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00610.x · Cited by 613
Durstewitz, D., & Seamans, J. K. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.05.015 · Cited by 586
Synchrony in excitatory neural networks
Hansel, D., Mato, G., & Meunier, C. (1995) · Neural Computation · doi:10.1162/neco.1995.7.2.307 · Cited by 587
Resurgent Sodium Current and Action Potential Formation in Dissociated Cerebellar Purkinje Neurons
Raman, I. M., & Bean, B. P. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-12-04517.1997 · Cited by 568
Voltage-gated sodium channels: structure, function, pharmacology, and clinical indications
de Lera Ruiz, M., & Kraus, R. L. (2015) · Journal of Medicinal Chemistry · doi:10.1021/jm501981g · Cited by 548
Neuromuscular electrical stimulation in neurorehabilitation
Sheffler, L. R., & Chae, J. (2007) · Muscle & Nerve · doi:10.1002/mus.20758 · Cited by 529
Signal processing in the axon initial segment
Kole, M. H. P., & Stuart, G. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.007 · Cited by 463
Minimal model for membrane oscillations in the pancreatic beta-cell
Chay, T. R., & Keizer, J. (1983) · Biophysical Journal · doi:10.1016/s0006-3495(83)84384-7 · Cited by 482
Memristor-based neural networks
Thomas, A. (2013) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/46/9/093001 · Cited by 471
Desensitization of neuronal nicotinic receptors
Quick, M. W., & Lester, R. A. J. (2002) · Journal of Neurobiology · doi:10.1002/neu.10109 · Cited by 456
A theory of biological relativity: no privileged level of causation
Noble, D. (2012) · Interface Focus · doi:10.1098/rsfs.2011.0067 · Cited by 451
Recurrent Initiation: A Mechanism for Triggering p53 Pulses in Response to DNA Damage
Batchelor, E., Mock, C. S., Bhan, I., Loewer, A., & Lahav, G. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.016 · Cited by 422
Human brain networks function in connectome-specific harmonic waves
Atasoy, S., Donnelly, I., & Pearson, J. (2016) · Nature Communications · doi:10.1038/ncomms10340 · Cited by 381
Energy-Efficient Action Potentials in Hippocampal Mossy Fibers
Alle, H., Roth, A., & Geiger, J. R. P. (2009) · Science · doi:10.1126/science.1174331 · Cited by 429
Paulus, W., Classen, J., Cohen, L. G., Large, C. H., Di Lazzaro, V., Nitsche, M., Pascual-Leone, A., Rosenow, F., Rothwell, J. C., & Ziemann, U. (2008) · Brain Stimulation · doi:10.1016/j.brs.2008.06.002 · Cited by 414
Neural representations and mechanisms for the performance of simple speech sequences
Bohland, J. W., Bullock, D., & Guenther, F. H. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21306 · Cited by 393
“Such multiplicative or shunting terms (Grossberg, 1973) are motivated by empirically observed cell membrane properties (e.g., Hodgkin & Huxley, 1952).”
VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data
Daunizeau, J., Adam, V., & Rigoux, L. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003441 · Cited by 385
Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
Vicente, R., Gollo, L. L., Mirasso, C. R., Fischer, I., & Pipa, G. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809353105 · Cited by 341
The Argus® II Retinal Prosthesis System
Luo, Y. H.-L., & da Cruz, L. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2015.09.003 · Cited by 351
Rapid Signaling at Inhibitory Synapses in a Dentate Gyrus Interneuron Network
Bartos, M., Vida, I., Frotscher, M., Geiger, J. R. P., & Jonas, P. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-08-02687.2001 · Cited by 325
Esser, S. K., Hill, S. L., & Tononi, G. (2007) · Sleep · doi:10.1093/sleep/30.12.1617 · Cited by 315
HODGKIN–HUXLEY AXON IS MADE OF MEMRISTORS
CHUA, L., SBITNEV, V., & KIM, H. (2012) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812741230011x · Cited by 319
Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex
Wilent, W. B., & Contreras, D. (2005) · Nature Neuroscience · doi:10.1038/nn1545 · Cited by 288
Synaptic Vesicle Pools and Dynamics
Alabi, A. A., & Tsien, R. W. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a013680 · Cited by 284
Synaptic Background Activity Enhances the Responsiveness of Neocortical Pyramidal Neurons
Hô, N., & Destexhe, A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1488 · Cited by 281
Device modeling via nonlinear circuit elements
Chua, L. (1980) · IEEE Transactions on Circuits and Systems · doi:10.1109/tcs.1980.1084742 · Cited by 277
Selective Electrical Interfaces with the Nervous System
Rutten, W. L. C. (2002) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.4.020702.153427 · Cited by 276
Plasma potassium changes with high intensity exercise.
Medbø, J. I., & Sejersted, O. M. (1990) · The Journal of Physiology · doi:10.1113/jphysiol.1990.sp017935 · Cited by 275
REEVES, T., PHILLIPS, L., & POVLISHOCK, J. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.07.014 · Cited by 270
Reframing cognition: getting down to biological basics
Lyon, P., Keijzer, F., Arendt, D., & Levin, M. (2021) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0750 · Cited by 275
Khaliq, Z. M., & Bean, B. P. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0143-10.2010 · Cited by 261
Nonlinear circuit foundations for nanodevices, part I: the four-element torus
Chua, L. O. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.818319 · Cited by 263
Electrical Wiring and Long-Distance Plant Communication
Hedrich, R., Salvador-Recatalà, V., & Dreyer, I. (2016) · Trends in Plant Science · doi:10.1016/j.tplants.2016.01.016 · Cited by 249
Memristor, Hodgkin–Huxley, and Edge of Chaos
Chua, L. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/383001 · Cited by 253
McCormack, K., Santos, S., Chapman, M. L., Krafte, D. S., Marron, B. E., West, C. W., Krambis, M. J., Antonio, B. M., Zellmer, S. G., Printzenhoff, D., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220844110 · Cited by 244
Integrating Machine Learning with Human Knowledge
Deng, C., Ji, X., Rainey, C., Zhang, J., & Lu, W. (2020) · iScience · doi:10.1016/j.isci.2020.101656 · Cited by 243
Interactions Between Membrane Conductances Underlying Thalamocortical Slow-Wave Oscillations
DESTEXHE, A., & SEJNOWSKI, T. J. (2003) · Physiological Reviews · doi:10.1152/physrev.00012.2003 · Cited by 241
Zhang, M., Tang, Z., Liu, X., & Van der Spiegel, J. (2020) · Nature Electronics · doi:10.1038/s41928-020-0390-3 · Cited by 231
Multi-scale modelling and simulation in systems biology
Dada, J. O., & Mendes, P. (2011) · Integrative Biology · doi:10.1039/c0ib00075b · Cited by 213
Selective stimulation of peripheral nerve fibers using dual intrafascicular electrodes
Yoshida, K., & Horch, K. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.243412 · Cited by 208
Tewari, B. P., Chaunsali, L., Campbell, S. L., Patel, D. C., Goode, A. E., & Sontheimer, H. (2018) · Nature Communications · doi:10.1038/s41467-018-07113-0 · Cited by 208
Neuronal circuits underlying persistent representations despite time varying activity
Druckmann, S., & Chklovskii, D. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.08.058 · Cited by 174
A supercritical density of Na+ channels ensures fast signaling in GABAergic interneuron axons
Hu, H., & Jonas, P. (2014) · Nature Neuroscience · doi:10.1038/nn.3678 · Cited by 179
Mechanisms underlying the early phase of spike frequency adaptation in mouse spinal motoneurones
Miles, G. B., Dai, Y., & Brownstone, R. M. (2005) · The Journal of Physiology · doi:10.1113/jphysiol.2005.086033 · Cited by 189
The human dynamic clamp as a paradigm for social interaction
Dumas, G., de Guzman, G. C., Tognoli, E., & Kelso, J. A. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407486111 · Cited by 175
George, M. S., Abbott, L. F., & Siegelbaum, S. A. (2009) · Nature Neuroscience · doi:10.1038/nn.2307 · Cited by 187
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
Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording
Patil, A. C., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1430-4 · Cited by 175
Mechanical surface waves accompany action potential propagation
El Hady, A., & Machta, B. B. (2015) · Nature Communications · doi:10.1038/ncomms7697 · Cited by 171
Bayes in the Brain—On Bayesian Modelling in Neuroscience
Colombo, M., & Seriès, P. (2012) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/axr043 · Cited by 164
Action potentials drive body wall muscle contractions in Caenorhabditis elegans
Gao, S., & Zhen, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012346108 · Cited by 149
Cell‐attached measurements of the firing threshold of rat hippocampal neurones
Fricker, D., Verheugen, J. A. H., & Miles, R. (1999) · The Journal of Physiology · doi:10.1111/j.1469-7793.1999.0791s.x · Cited by 160
Nonlinear Input-Output Functions of Motoneurons
Binder, M. D., Powers, R. K., & Heckman, C. J. (2020) · Physiology · doi:10.1152/physiol.00026.2019 · Cited by 136
Magnesium Flux Modulates Ribosomes to Increase Bacterial Survival
Lee, D.-Y. D., Galera-Laporta, L., Bialecka-Fornal, M., Moon, E. C., Shen, Z., Briggs, S. P., Garcia-Ojalvo, J., & Süel, G. M. (2019) · Cell · doi:10.1016/j.cell.2019.01.042 · Cited by 147
Non-rectangular waveforms for neural stimulation with practical electrodes
Sahin, M., & Tie, Y. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/008 · Cited by 157
Principles of electrical stimulation of neural tissue
(2013) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-53497-2.00001-2 · Cited by 151
Three-dimensional cardiac computational modelling: methods, features and applications.
Lopez-Perez, A., Sebastian, R., & Ferrero, J. M. (2015) · BioMedical Engineering OnLine · doi:10.1186/s12938-015-0033-5 · Cited by 151
Computational studies of membrane channels
Roux, B., & Schulten, K. (2004) · Structure · doi:10.1016/j.str.2004.06.013 · Cited by 145
Recent Advances in Neural Recording Microsystems
Gosselin, B. (2011) · Sensors · doi:10.3390/s110504572 · Cited by 138
A biopolymer transistor: Electrical amplification by microtubules
Priel, A., Ramos, A. J., Tuszynski, J. A., & Cantiello, H. F. (2006) · Biophysical Journal · doi:10.1529/biophysj.105.078915 · Cited by 138
Vervaeke, K., Gu, N., Agdestein, C., Hu, H., & Storm, J. F. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.111336 · Cited by 135
Electronic retinal implants and artificial vision: journey and present
Mills, J. O., Jalil, A., & Stanga, P. E. (2017) · Eye · doi:10.1038/eye.2017.65 · Cited by 133
Effects of temperature on slow and fast inactivation of rat skeletal muscle Na+channels
Ruff, R. L. (1999) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1999.277.5.c937 · Cited by 128
Five non-volatile memristor enigmas solved
Chua, L. (2018) · Applied Physics A · doi:10.1007/s00339-018-1971-0 · Cited by 132
On the structure and thermodynamics of solvated monoatomic ions using a hybrid solvation model
Topol, I. A., Tawa, G. J., Burt, S. K., & Rashin, A. A. (1999) · The Journal of Chemical Physics · doi:10.1063/1.480486 · Cited by 128
Na channel inactivation from open and closed states
Armstrong, C. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607603103 · Cited by 127
Han, J.-K., Seo, M., Kim, W.-K., Kim, M.-S., Kim, S.-Y., Kim, M.-S., Yun, G.-J., Lee, G.-B., Yu, J.-M., & Choi, Y.-K. (2020) · IEEE Electron Device Letters · doi:10.1109/led.2019.2958623 · Cited by 127
Xu, T.-R., Vyshemirsky, V., Gormand, A., von Kriegsheim, A., Girolami, M., Baillie, G. S., Ketley, D., Dunlop, A. J., Milligan, G., Houslay, M. D., et al. (2010) · Science Signaling · doi:10.1126/scisignal.2000517 · Cited by 119
Potassium Channels in Motor Cells of Samanea saman
Moran, N., Ehrenstein, G., Iwasa, K., Mischke, C., Bare, C., & Satter, R. L. (1988) · Plant Physiology · doi:10.1104/pp.88.3.643 · Cited by 115
Temporal considerations for stimulating spiral ganglion neurons with cochlear implants.
Boulet, J., White, M., & Bruce, I. C. (2016) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-015-0545-5 · Cited by 114
The ‘conscious pilot’ — dendritic synchrony moves through the brain to mediate consciousness.
Hameroff, S. (2010) · Journal of Biological Physics · doi:10.1007/s10867-009-9148-x · Cited by 107
Inversion of the current-distance relationship by transient depolarization
Grill, W. M., & Mortimer, J. T. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.553708 · Cited by 109
Ring Attractor Dynamics Emerge from a Spiking Model of the Entire Protocerebral Bridge
Kakaria, K. S., & de Bivort, B. L. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00008 · Cited by 89
Metadata
- Authors
- Hodgkin, A. L., & Huxley, A. F.
- Affiliations
- University of Cambridge (GB)
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 1952-08-28
- Volume
- 117
- Issue
- 4
- Pages
- 500-544
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- PMC
- PMC1392413
- OpenAlex
- W1985940938
- Cited by
- 23,191
- References
- 0
- Citations by year
- 2026: 626 · 2025: 962 · 2024: 917 · 2023: 931 · 2022: 905 · 2021: 877 · 2020: 911 · 2019: 778 · 2018: 823 · 2017: 713 · 2016: 694 · 2015: 757 · 2014: 741 · 2013: 726 · 2012: 767
- FWCI
- 17.26
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Physiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion Transport and Channel Regulation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- membrane currents, quantitative description, nerve conduction, nerve excitation, action potential, membrane excitability
- MeSH terms
- Axons, Humans
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