The quest for action potentials in C. elegans neurons hits a plateau
Open accessAbstract
The small size and high resistance of C. elegans neurons makes them sensitive to the random opening of single ion channels, probably rendering codes that are based on classical, all-or-none action potentials unworkable. The recent discovery in C. elegans of a special class of regenerative events known as plateau potentials introduces the possibility of digital neural codes. Such codes would solve the problem of representing information in nervous systems in which action potentials are unreliable.
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 neural model can reproduce qualitatively the range of electrophysiological properties observed so far in C. elegans neurons.
“Our neural model has the capacity to reproduce qualitatively the range of electrophysiological properties observed so far in C. elegans neurons (Lockery & Goodman, 2009; Mellem et al., 2008) (Figure 3).”
From Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in<i>Caenorhabditis elegans</i> (2018) · cites this paper as Lockery & Goodman, 2009
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
The structure of the nervous system of the nematode <i>Caenorhabditis elegans</i>
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589 · see citing works
Neurobiology of the <i>Caenorhabditis elegans</i> Genome
Bargmann, C. I. (1998) · Science · doi:10.1126/science.282.5396.2028 · Cited by 929 · see citing works
Dissecting a circuit for olfactory behaviour in Caenorhabditis elegans
Chalasani, S. H., Chronis, N., Tsunozaki, M., Gray, J. M., Ramot, D., Goodman, M. B., & Bargmann, C. I. (2007) · Nature · doi:10.1038/nature06292 · Cited by 630 · see citing works
Self-citationMicrofluidics for in vivo imaging of neuronal and behavioral activity in Caenorhabditis elegans
Chronis, N., Zimmer, M., & Bargmann, C. I. (2007) · Nature Methods · doi:10.1038/nmeth1075 · Cited by 596 · see citing works
O’Hagan, R., Chalfie, M., & Goodman, M. B. (2004) · Nature Neuroscience · doi:10.1038/nn1362 · Cited by 518 · see citing works
Self-citationSynaptic code for sensory modalities revealed by C. elegans GLR-1 glutamate receptor
Hart, A. C., Sims, S., & Kaplan, J. M. (1995) · Nature · doi:10.1038/378082a0 · Cited by 426 · see citing works
Active Currents Regulate Sensitivity and Dynamic Range in C. elegans Neurons
Goodman, M. B., Hall, D. H., Avery, L., & Lockery, S. R. (1998) · Neuron · doi:10.1016/s0896-6273(00)81014-4 · Cited by 370 · see citing works
Self-citationGenetic analysis of defecation in Caenorhabditis elegans.
Thomas, J. H. (1990) · Genetics · doi:10.1093/genetics/124.4.855 · Cited by 327 · see citing works
Suzuki, H., Thiele, T. R., Faumont, S., Ezcurra, M., Lockery, S. R., & Schafer, W. R. (2008) · Nature · doi:10.1038/nature06927 · Cited by 256 · see citing works
Self-citationBrockie, P. J., Mellem, J. E., Hills, T. T., Madsen, D. M., & Maricq, A. V. (2001) · Neuron · doi:10.1016/s0896-6273(01)00394-4 · Cited by 227 · see citing works
A Primary Culture System for Functional Analysis of C. elegans Neurons and Muscle Cells
Christensen, M., Estevez, A. Y., Yin, X., Fox, R., Morrison, R., McDonnell, M. A., Gleason, C., Miller, D. M., & Strange, K. B. (2002) · Neuron · doi:10.1016/s0896-6273(02)00591-3 · Cited by 225 · see citing works
Ion-channel noise places limits on the miniaturization of the brain's wiring
Faisal, A. A., White, J. A., & Laughlin, S. B. (2005) · Current Biology · doi:10.1016/j.cub.2005.05.056 · Cited by 216 · see citing works
Strassberg, A. F., & DeFelice, L. J. (1993) · Neural Computation · doi:10.1162/neco.1993.5.6.843 · Cited by 200 · see citing works
Bidirectional temperature-sensing by a single thermosensory neuron in C. elegans
Ramot, D., MacInnis, B. L., & Goodman, M. B. (2008) · Nature Neuroscience · doi:10.1038/nn.2157 · Cited by 188 · see citing works
Self-citationStochastic Simulations on the Reliability of Action Potential Propagation in Thin Axons
Faisal, A. A., & Laughlin, S. B. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030079 · Cited by 144 · see citing works
Theory of the locomotion of nematodes
Niebur, E., & Erdös, P. (1991) · Biophysical Journal · doi:10.1016/s0006-3495(91)82149-x · Cited by 139 · see citing works
Role of Sensory-Evoked NMDA Plateau Potentials in the Initiation of Locomotion
Prisco, G. V. D., Pearlstein, É., Robitaille, R., & Dubuc, R. (1997) · Science · doi:10.1126/science.278.5340.1122 · Cited by 129 · see citing works
Action potentials contribute to neuronal signaling in C. elegans
Mellem, J. E., Brockie, P. J., Madsen, D. M., & Maricq, A. V. (2008) · Nature Neuroscience · doi:10.1038/nn.2131 · Cited by 119 · see citing works
Davis, R., & Stretton, A. (1989) · Journal of Neuroscience · doi:10.1523/jneurosci.09-02-00415.1989 · Cited by 106 · see citing works
(2008) · Choice Reviews Online · doi:10.5860/choice.46-0287 · Cited by 106 · see citing works
Simon, M., Perrier, J., & Hounsgaard, J. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02783.x · Cited by 99 · see citing works
Russell, D. F., & Hartline, D. K. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.4.914 · Cited by 86 · see citing works
Lo, F., Žiburkus, J., & Guido, W. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00715.1999 · Cited by 73 · see citing works
Otsuka, T., Abe, T., Tsukagawa, T., & Song, W. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00508.2003 · Cited by 68 · see citing works
Lee, C. R., & Tepper, J. M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1678-07.2007 · Cited by 64 · see citing works
Invertebrate Learning: What Can't a Worm Learn?
Rankin, C. H. (2004) · Current Biology · doi:10.1016/j.cub.2004.07.044 · Cited by 55 · see citing works
Zhang, B., & Harris‐Warrick, R. M. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.74.5.1929 · Cited by 52 · see citing works
Retrovesicular ganglion of the nematode Ascaris
Angstadt, J. D., Donmoyer, J. E., & Stretton, A. O. W. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902840305 · Cited by 50 · see citing works
Susswein, A. J., Hurwitz, I., Thorne, R. M., Byrne, J. H., & Baxter, D. A. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.87.5.2307 · Cited by 37 · see citing works
Single Ionic Channels of Two Caenorhabditis elegans Chemosensory Neurons in Native Membrane
Nickell, W. T., Pun, R. Y. K., Bargmann, C. I., & Kleene, S. J. (2002) · The Journal of Membrane Biology · doi:10.1007/s00232-002-1004-x · Cited by 28 · see citing works
Derjean, D., Bertrand, S. S., Nagy, F., & Shefchyk, S. J. (2004) · The Journal of Physiology · doi:10.1113/jphysiol.2004.076802 · Cited by 28 · see citing works
Marder, E. E. (1991) · Current Biology · doi:10.1016/0960-9822(91)90101-2 · Cited by 20 · see citing works
Sodium-dependent plateau potentials in cultured Retzius cells of the medicinal leech
Angstadt, J. D., & Choo, J. J. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.3.1491 · Cited by 20 · see citing works
Slow active potentials in ventral inhibitory motor neurons of the nematode Ascaris
Angstadt, J. D., & Stretton, A. O. W. (1989) · Journal of Comparative Physiology A · doi:10.1007/bf00193461 · Cited by 19 · see citing works
Sodium-dependent plateau potentials in electrocytes of the electric fish Gymnotus carapo
Sierra, F., Comas, V., Bu�o, W., & Macadar, O. (2004) · Journal of Comparative Physiology A · doi:10.1007/s00359-004-0567-7 · Cited by 16 · see citing works
Plateau Potentials in Developing Antennal-Lobe Neurons of the Moth,Manduca sexta
Mercer, A. R., Kloppenburg, P., & Hildebrand, J. G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01050.2004 · Cited by 16 · see citing works
Amat, C., Lapied, B., French, A. S., & Hue, B. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.5.2718 · Cited by 14 · see citing works
Extracellular recordings from the motor nervous system of the nematode, Ascaris suum
Davis, R., & Stretton, A. O. W. (1992) · Journal of Comparative Physiology A · doi:10.1007/bf00195957 · Cited by 11 · see citing works
Holden-Dye, L. M., & Walker, R. J. (1994) · Parasitology · doi:10.1017/s0031182000078550 · Cited by 10 · see citing works
Scroggs, R. S., & Anderson, E. G. (1989) · Brain Research · doi:10.1016/0006-8993(89)90583-0 · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A Transparent Window into Biology: A Primer on Caenorhabditis elegans
Corsi, A. K., Wightman, B., & Chalfie, M. (2015) · Genetics · doi:10.1534/genetics.115.176099 · Cited by 594 · see citing works
Brain-wide 3D imaging of neuronal activity in Caenorhabditis elegans with sculpted light
Schrödel, T., Prevedel, R., Aumayr, K., Zimmer, M., & Vaziri, A. (2013) · Nature Methods · doi:10.1038/nmeth.2637 · Cited by 327 · see citing works
A Transparent window into biology: A primer on Caenorhabditis elegans
Corsi, A. K. (2015) · WormBook · doi:10.1895/wormbook.1.177.1 · Cited by 294 · see citing works
Nociceptors: a phylogenetic view
Smith, E. S. J., & Lewin, G. R. (2009) · Journal of Comparative Physiology A · doi:10.1007/s00359-009-0482-z · Cited by 271 · see citing works
Neuropeptide feedback modifies odor-evoked dynamics in Caenorhabditis elegans olfactory neurons
Chalasani, S. H., Kato, S., Albrecht, D. R., Nakagawa, T., Abbott, L. F., & Bargmann, C. I. (2010) · Nature Neuroscience · doi:10.1038/nn.2526 · Cited by 237 · see citing works
“elegans neurons are thought to lack sodium-based action potentials, but express voltage-gated calcium channel”
BackgroundGenetically Encoded Voltage Indicators: Opportunities and Challenges
Yang, H. H., & St-Pierre, F. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1095-16.2016 · Cited by 173 · see citing works
Graded synaptic transmission at the <i>Caenorhabditis elegans</i> neuromuscular junction
Liu, Q., Hollopeter, G., & Jorgensen, E. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903570106 · Cited by 149 · see citing works
Hulme, S. E., & Whitesides, G. M. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201005461 · Cited by 137 · see citing works
Chemosensory signal transduction in Caenorhabditis elegans
Ferkey, D. M., Sengupta, P., & L’Étoile, N. D. (2021) · Genetics · doi:10.1093/genetics/iyab004 · Cited by 133 · see citing works
C. elegans AWA Olfactory Neurons Fire Calcium-Mediated All-or-None Action Potentials
Liu, Q., Kidd, P. B., Dobosiewicz, M., & Bargmann, C. I. (2018) · Cell · doi:10.1016/j.cell.2018.08.018 · Cited by 129 · see citing works
Evolution and Analysis of Minimal Neural Circuits for Klinotaxis in <i>Caenorhabditis elegans</i>
Izquierdo, E. J., & Lockery, S. R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2606-10.2010 · Cited by 95 · see citing works
Self-citationLiu, P., Ge, Q., Chen, B., Salkoff, L., Kotlikoff, M. I., & Wang, Z. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.200683 · Cited by 93 · see citing works
Kuhara, A., Ohnishi, N., Shimowada, T., & Mori, I. (2011) · Nature Communications · doi:10.1038/ncomms1352 · Cited by 89 · see citing works
Walters, E. T. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01049 · Cited by 82 · see citing works
The computational worm: spatial orientation and its neuronal basis in C. elegans
Lockery, S. R. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.06.009 · Cited by 78 · see citing works
Self-citationIzquierdo, E. J., & Beer, R. D. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0374 · Cited by 56 · see citing works
Neuronal aging: learning from C. elegans
Chen, C., Chen, Y.-C., Jiang, H.-C., Chen, C., & Pan, C. (2013) · Journal of Molecular Signaling · doi:10.1186/1750-2187-8-14 · Cited by 43 · see citing works
Nicoletti, M., Loppini, A., Chiodo, L., Folli, V., Ruocco, G., & Filippi, S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218738 · Cited by 42 · see citing works
Olivares, E. O., Izquierdo, E. J., & Beer, R. D. (2018) · Network Neuroscience · doi:10.1162/netn_a_00036 · Cited by 38 · see citing works
“Following electrophysiological studies in C. elegans (Lockery & Goodman, 2009; Mellem et al., 2008) and previous modeling efforts (Izquierdo & Beer, 2013; Izquierdo & Lockery, 2010), motorneurons were modeled as isopotential nodes with the ability to produce regenerative responses, according to the…”
BackgroundMethodZhao, M., Zhou, C., Chen, Y., Hu, B., & Wang, B.-H. (2010) · Physical Review E · doi:10.1103/physreve.82.046225 · Cited by 36 · see citing works
Caenorhabditis elegans as a model organism to study APP function
Ewald, C. Y., & Li, C. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2905-7 · Cited by 33 · see citing works
Palyanov, A. Y., Khayrulin, S., Larson, S., & Dibert, A. (2012) · In Silico Biology · doi:10.3233/isb-2012-0445 · Cited by 31 · see citing works
Neural engineering with photons as synaptic transmitters
Porta-de-la-Riva, M., Gonzalez, A. C., Sanfeliu-Cerdán, N., Karimi, S., Malaiwong, N., Pidde, A., Morales-Curiel, L.-F., Fernandez, P., Bolívar, S. G., Hurth, C., et al. (2023) · Nature Methods · doi:10.1038/s41592-023-01836-9 · Cited by 27 · see citing works
Sensory Receptors and Mechanotransduction
French, A. S., & Torkkeli, P. H. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-387738-3.00036-6 · Cited by 25 · see citing works
Collapse of Global Neuronal States in Caenorhabditis elegans under Isoflurane Anesthesia
Awal, M. R., Wirak, G. S., Gabel, C. V., & Connor, C. W. (2020) · Anesthesiology · doi:10.1097/aln.0000000000003304 · Cited by 25 · see citing works
Multilayer network analysis of C. elegans: Looking into the locomotory circuitry
Maertens, T., Schöll, E., Ruiz, J., & Hövel, P. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.11.015 · Cited by 24 · see citing works
Hocking, M. J. L. (2013) · Current Pain and Headache Reports · doi:10.1007/s11916-013-0347-6 · Cited by 23 · see citing works
Ujisawa, T., Ohta, A., Uda-Yagi, M., & Kuhara, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165518 · Cited by 23 · see citing works
Awal, M. R., Austin, D., Florman, J., Alkema, M., Gabel, C. V., & Connor, C. W. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002342 · Cited by 22 · see citing works
Methods for analyzing neuronal structure and activity in Caenorhabditis elegans
Emmons, S. W., Yemini, E., & Zimmer, M. (2021) · Genetics · doi:10.1093/genetics/iyab072 · Cited by 22 · see citing works
Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm BehaviourPreprint
Li, K., Javer, A., Keaveny, E. E., & Brown, A. E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/222208 · Cited by 22 · see citing works
Mirzakhalili, E., Epureanu, B. I., & Gourgou, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201302 · Cited by 20 · see citing works
Kunert-Graf, J. M., Shlizerman, E., Walker, A., & Kutz, J. N. (2017) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00053 · Cited by 19 · see citing works
Voltage-gated ion channel diversity underlies neuronal excitability and nervous system evolution
Dávila-Velderrain, J., & van Giesen, L. (2025) · Nature Communications · doi:10.1038/s41467-025-66641-8 · Cited by 14 · see citing works
Role of simulation models in understanding the generation of behavior in C. elegans
Izquierdo, E. J. (2018) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2018.11.003 · Cited by 14 · see citing works
Zebrafish as a Model for Revealing the Neuronal Basis of Behavior
McArthur, K. L., Chow, D. M., & Fetcho, J. R. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812431-4.00046-4 · Cited by 13 · see citing works
Emulation of chemical stimulus triggered head movement in the C. elegans nematode
Meruelo, A. C., Machado, P., Appiah, K., Mujika, A., Leškovský, P., Álvarez, R., Epelde, G., & McGinnity, T. M. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.024 · Cited by 12 · see citing works
Sevüktekin, N. C., Varshney, L. R., Hanumolu, P. K., & Singer, A. C. (2019) · IEEE Signal Processing Magazine · doi:10.1109/msp.2019.2929466 · Cited by 12 · see citing works
Structural aspects of the aging invertebrate brain
Koch, S. C., Nelson, A., & Hartenstein, V. (2021) · Cell and Tissue Research · doi:10.1007/s00441-020-03314-6 · Cited by 11 · see citing works
Is Smaller Better? A Proposal to Use Bacteria For Neuroscientific Modeling
Ram, A., & Lo, A. W. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00007 · Cited by 11 · see citing works
Ruach, R., Ratner, N., Emmons, S. W., & Zaslaver, A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201699120 · Cited by 10 · see citing works
Multisensory Integration in Caenorhabditis elegans in Comparison to Mammals
Yu, Y. V., Xue, W., & Chen, Y. (2022) · Brain Sciences · doi:10.3390/brainsci12101368 · Cited by 9 · see citing works
CKR-1 orchestrates two motor states from a single motoneuron in C. elegans
Chen, L., Su, P., Wang, Y., Liu, Y., Chen, L., & Gao, S. (2024) · iScience · doi:10.1016/j.isci.2024.109390 · Cited by 9 · see citing works
Kunert-Graf, J. M., Maia, P. D., & Kutz, J. N. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005261 · Cited by 7 · see citing works
Hulme, S. E., & Whitesides, G. M. (2011) · Angewandte Chemie · doi:10.1002/ange.201005461 · Cited by 6 · see citing works
Petrushin, A., Ferrara, L., & Blau, A. W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/065001 · Cited by 6 · see citing works
Neural circuits for touch-induced locomotion in Caenorhabditis elegans
Patil, S., Zhou, K., & Parker, A. C. (2015) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2015.7280408 · Cited by 6 · see citing works
Petratou, D., Gjikolaj, M., Kaulich, E., Schafer, W. R., & Tavernarakis, N. (2023) · iScience · doi:10.1016/j.isci.2023.107117 · Cited by 5 · see citing works
A graph network model for neural connection prediction and connection strength estimation
Yuan, Y., Liu, J., Zhao, P., Wang, W., Gu, X., Rong, Y., Lai, T., Chen, Y., Xin, K., Niu, X., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac69bd · Cited by 5 · see citing works
A data-driven biology-based network model reproduces C. elegans premotor neural dynamics
Morrison, M., & Young, L.-S. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013818 · Cited by 4 · see citing works
A Connectome-Based Digital Twin Caenorhabditis elegans Capable of Intelligent Sensorimotor Behavior
Chen, Z., Yu, Y., & Xue, X. (2023) · Mathematics · doi:10.3390/math11112442 · Cited by 4 · see citing works
Some details of signal propagation in the nervous system of C. elegans
Palyanov, A. Y., & Ratushnyak, A. S. (2015) · Russian Journal of Genetics Applied Research · doi:10.1134/s2079059715060064 · Cited by 4 · see citing works
Computing Temporal Sequences Associated With Dynamic Patterns on the C. elegans Connectome
George, V. K., Puppo, F., & Silva, G. A. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.564124 · Cited by 4 · see citing works
C. elegans behavioural response germane to Hardware modelling
Appiah, K., Machado, P., Meruelo, A. C., & McGinnity, T. M. (2016) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2016.7727823 · Cited by 3 · see citing works
Informational limits of neural circuits
Varshney, L. R., & Shah, D. (2011) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2011.6120381 · Cited by 3 · see citing works
Marla, L., Varshney, L. R., Shah, D., Prakash, N. A., & Gale, M. E. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3123311 · Cited by 3 · see citing works
Riboul, D. V., Crill, S., Oliva, C. D., Restifo, M. G., Joseph, R., Joseph, K., Nguyen, K. C. Q., Hall, D. H., Fily, Y., & Macleod, G. T. (2024) · The Journal of Comparative Neurology · doi:10.1002/cne.70002 · Cited by 2 · see citing works
Glauser, D. A., & Goodman, M. B. (2010) · Nature Neuroscience · doi:10.1038/nn0510-528 · Cited by 2 · see citing works
Self-citationLong-term calcium imaging of ASJ sensory neuron controlling cold tolerance in Caenorhabditis elegans
Kuhara, A., Ujisawa, T., Ohta, A., & Kuhara, A. (2014) · Protocol Exchange · doi:10.1038/protex.2014.034 · Cited by 2 · see citing works
Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
Liu, J., Lu, W., Yuan, Y., Xin, K., Zhao, P., Gu, X., Raza, A., Huo, H., Li, Z., & Fang, T. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.808824 · Cited by 2 · see citing works
Lanza, E., Lucente, V., Nicoletti, M., Schwartz, S., Cavallo, I. F., Caprini, D., Connor, C. W., Saifuddin, M. F. A., Miller, J. M., L’Étoile, N. D., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300628 · Cited by 1 · see citing works
Kenngott, M., Sengupta, P., Lockery, S., & Marder, E. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2422709122 · Cited by 1 · see citing works
Self-citationSi elegans: A Computational Model of C. elegans Muscle Response to Light
Meruelo, A. C., Machado, P., Appiah, K., & McGinnity, T. M. (2015) · International Congress on Neurotechnology, Electronics and Informatics · doi:10.5220/0005712201210126 · Cited by 1 · see citing works
Genetics and Genomic Basis of Sleep in Simple Model Organisms
Allada, R., & Wu, M. N. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-24288-2.00028-3 · Cited by 1 · see citing works
Power consumption during forward locomotion of C. elegans: an electrical circuit simulation
Jenderny, S., Ochs, K., & Hövel, P. (2024) · The European Physical Journal B · doi:10.1140/epjb/s10051-024-00683-7 · Cited by 1 · see citing works
Meeting report: 2010 Caenorhabditis elegans Neurobiology Meeting, University of Wisconsin, USA
Mulcahy, B., & Ient, B. (2010) · Invertebrate Neuroscience · doi:10.1007/s10158-010-0110-1 · Cited by 1 · see citing works
Candadai, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.05186 · Cited by 1 · see citing works
(2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804043-0.00024-6 · Cited by 1 · see citing works
A reverse-engineering approach to building our understanding of nervous systems
Thevenon, H. (2014) · BMC Neuroscience · doi:10.1186/1471-2202-15-s1-p28
Functional Circuitry Controlling the Selection of Behavioral Primitives in Caenorhabditis elegans
Lindsay, T. H. (2012) · ProQuest Demo Repository
Worminator: A platform to enable bio-inspired (C. elegans) robotics
Norman-Tenazas, R., Matelsky, J., Katyal, K. D., Johnson, E. C., & Gray-Roncal, W. (2018) · Conference on Cognitive Computational Neuroscience (CCN) · doi:10.32470/ccn.2018.1149-0
A Framework for Understanding Small Nervous Systems
Lee, J. B. (2017) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Calcium dynamics in "caenorhabditis elegans" pharynx
Illera, M. P. Á. (2018) · doi:10.35376/10324/32070
Chen, L., Wang, Y., & Gao, S. (2020) · PubMed Central · doi:10.17912/micropub.biology.000316
Hudson, A. E. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733633723.793552642
Neuropeptidergic regulation of locomotion inhibition in C. elegans
der Auwera, P. V. (2023) · doi:10.21248/gups.73497
Self-Organized Criticality in C. Elegans Neural Network
Gu, X., Liu, J., Yuan, Y., Zhao, P., Xin, K., & Fang, T. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10240396
Simple Worm, Complex Disorder: Studying Down Syndrome Mechanisms in the Unassuming Model C. elegans
Sanchez, S. M., & Pierce-Shimomura, J. T. (2025) · Springer eBooks · doi:10.1007/978-3-031-78611-2_4
Evolution towards higher unitary conductance in mammals makes BK channels more efficient and precise
Hepburn, I., Hellemans, S., Taniguchi, T., Bourguignon, T., & Schutter, E. D. (2026) · Communications Biology · doi:10.1038/s42003-026-11127-6
Vadakkan, K. I. (2026) · Research Square · doi:10.21203/rs.3.rs-11613263/v1
- Authors
- Lockery, S. R., & Goodman, M. B.
- Affiliations
- University of Oregon (US)
- Stanford University (US)
- Venue
- Nature Neuroscience
- Published
- 2009-04
- Volume
- 12
- Issue
- 4
- Pages
- 377-378
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC3951993
- OpenAlex
- W2060528973
- Cited by
- 81
- References
- 40
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 7 · 2020: 3 · 2019: 3 · 2018: 11 · 2017: 6 · 2016: 5 · 2015: 5 · 2014: 2 · 2013: 3 · 2012: 3
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R21MH112105, R01MH051383)
- National Institute of Neurological Disorders and Stroke (R01NS047715)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Keywords
- Caenorhabditis elegans, action potential, plateau potentials, ion channels, neural coding
- MeSH terms
- Action Potentials, Animals, Neurons, Caenorhabditis elegans
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