The DOI matches its Crossref record.
In Vitro Reconstruction of the Respiratory Central Pattern Generator of the Mollusk Lymnaea
Abstract
Most rhythmic behaviors such as respiration, locomotion, and feeding are under the control of networks of neurons in the central nervous system known as central pattern generators (CPGs). The respiratory rhythm of the pond snail Lymnaea stagnalis is a relatively simple, CPG-based behavior for which the underlying neural elements have been identified. A three-neuron network capable of generating the respiratory rhythm of this air-breathing mollusk has been reconstructed in culture. The intrinsic and network properties of this neural ensemble have been studied, and the mechanism of postinhibitory rebound excitation was found to be important for the rhythm generation. This in vitro model system enables a better understanding of the neural basis of rhythm generation.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Dynamic clamp: computer-generated conductances in real neurons
Sharp, A. A., O'Neil, M. B., Abbott, L. F., & Marder, E. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.3.992 · Cited by 431
The dynamic clamp: artificial conductances in biological neurons
Sharp, A. A., O'Neil, M. B., Abbott, L. F., & Marder, E. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90004-6 · Cited by 291
Zeck, G., & Fromherz, P. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.181348698 · Cited by 290
Synaptogenesis in the CNS: An Odyssey from Wiring Together to Firing Together
Munno, D. W., & Syed, N. I. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.045062 · Cited by 86
Self-citation
Metadata
- Authors
- Syed, N. I., Bulloch, A. G., & Lukowiak, K.
- Venue
- Science
- Published
- 1990-10-12
- Volume
- 250
- Issue
- 4978
- Pages
- 282-285
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2053049601
- Cited by
- 396
- References
- 0
- FWCI
- 9.49
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In Vitro Reconstruction of the Respiratory Central Pattern Generator of the Mollusk Lymnaea. https://app.cochat.ai/papers/10.1126/science.2218532
- The paper
- Syed, N. I., Bulloch, A. G., & Lukowiak, K. (1990). In Vitro Reconstruction of the Respiratory Central Pattern Generator of the Mollusk Lymnaea. Science. https://doi.org/10.1126/science.2218532
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.