The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Functional consequences of animal-to-animal variation in circuit parameters
Open accessAbstract
How different are the neuronal circuits for a given behavior across individual animals? To address this question, we measured multiple cellular and synaptic parameters in individual preparations to see how they correlated with circuit function, using neurons and synapses in the pyloric circuit of the stomatogastric ganglion of the crab Cancer borealis. There was considerable preparation-to-preparation variability in the strength of two identified synapses, in the amplitude of a modulator-evoked current and in the expression of six ion channel genes. Nonetheless, we found strong correlations across preparations among these parameters and attributes of circuit performance. These data illustrate the importance of making multidimensional measurements from single preparations for understanding how variability in circuit output is related to the variability of multiple circuit parameters.
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
Cites
Variability, compensation and homeostasis in neuron and network function
Marder, E., & Goaillard, J.-M. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1949 · Cited by 1,212
Self-citationSimilar network activity from disparate circuit parameters
Prinz, A. A., Bucher, D., & Marder, E. (2004) · Nature Neuroscience · doi:10.1038/nn1352 · Cited by 1,091
Self-citationUnderstanding circuit dynamics using the stomatogastric nervous system of lobsters and crabs.
Marder, E., & Bucher, D. (2007) · Annual Review of Physiology · doi:10.1146/annurev.physiol.69.031905.161516 · Cited by 681
Self-citationSchulz, D. J., Goaillard, J.-M., & Marder, E. (2006) · Nature Neuroscience · doi:10.1038/nn1639 · Cited by 426
Self-citationLüthi, A., & McCormick, D. A. (1998) · Neuron · doi:10.1016/s0896-6273(00)80509-7 · Cited by 416
Global structure, robustness, and modulation of neuronal models
Goldman, M. S., Golowasch, J., Marder, E., & Abbott, L. F. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-14-05229.2001 · Cited by 371
Self-citationThe roles of co-transmission in neural network modulation
Nusbaum, M. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01723-9 · Cited by 340
The Crustacean Stomatogastric System
(1987) · Springer eBooks · doi:10.1007/978-3-642-71516-7 · Cited by 335
Tuning pacemaker frequency of individual dopaminergic neurons by Kv4.3L and KChip3.1 transcription
Liss, B. (2001) · The EMBO Journal · doi:10.1093/emboj/20.20.5715 · Cited by 292
Schulz, D. J., Goaillard, J.-M., & Marder, E. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705827104 · Cited by 288
Self-citation
Cited by
Neuromodulation of neuronal circuits: back to the future
Marder, E. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.010 · Cited by 904
Self-citationMultiple models to capture the variability in biological neurons and networks
Marder, E., & Taylor, A. L. (2011) · Nature Neuroscience · doi:10.1038/nn.2735 · Cited by 451
Self-citationThe human connectome: Origins and challenges
Sporns, O. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.023 · Cited by 437
Spatial Gene-Expression Gradients Underlie Prominent Heterogeneity of CA1 Pyramidal Neurons
Cembrowski, M. S., Bachman, J. L., Wang, L., Sugino, K., Shields, B. C., & Spruston, N. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.013 · Cited by 328
Profiling metabolites and peptides in single cells
Rubakhin, S. S., Romanova, E. V., Nemes, P., & Sweedler, J. V. (2011) · Nature Methods · doi:10.1038/nmeth.1549 · Cited by 347
Metadata
- Authors
- Goaillard, J.-M., Taylor, A. L., Schulz, D. J., & Marder, E.
- Venue
- Nature Neuroscience
- Published
- 2009-10-18
- Volume
- 12
- Issue
- 11
- Pages
- 1424-1430
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2159716898
- Cited by
- 256
- References
- 46
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- green
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: Functional consequences of animal-to-animal variation in circuit parameters. https://app.cochat.ai/papers/10.1038/nn.2404
- The paper
- Goaillard, J.-M., Taylor, A. L., Schulz, D. J., & Marder, E. (2009). Functional consequences of animal-to-animal variation in circuit parameters. Nature Neuroscience. https://doi.org/10.1038/nn.2404
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.
