The DOI matches its Crossref record.
Labeled lines meet and talk: population coding of somatic sensations
Open accessAbstract
The somatic sensory system responds to stimuli of distinct modalities, including touch, pain, itch, and temperature sensitivity. In the past century, great progress has been made in understanding the coding of these sensory modalities. From this work, two major features have emerged. First, there are specific neuronal circuits or labeled lines transmitting specific sensory information from the skin to the brain. Second, the generation of specific sensations often involves crosstalk among distinct labeled lines. These features suggest that population coding is the mechanism underlying somatic sensation.
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
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Usoskin, D., Furlan, A., Islam, S., Abdo, H., Lönnerberg, P., Lou, D., Hjerling-Leffler, J., Haeggström, J., Kharchenko, O., Kharchenko, P. V., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3881 · Cited by 2,136
Stretchable silicon nanoribbon electronics for skin prosthesis
Kim, J., Lee, M., Shim, H. J., Ghaffari, R., Cho, H. R., Son, D., Jung, Y. H., Soh, M., Choi, C., Jung, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6747 · Cited by 1,435
What is this thing called pain?
Woolf, C. J. (2010) · Journal of Clinical Investigation · doi:10.1172/jci45178 · Cited by 593
Identification of Spinal Circuits Transmitting and Gating Mechanical Pain
Duan, B., Cheng, L., Bourane, S., Britz, O., Padilla, C., Garcia-Campmany, L., Krashes, M., Knowlton, W., Velasquez, T., Ren, X., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.003 · Cited by 582
Self-citationDynorphin Acts as a Neuromodulator to Inhibit Itch in the Dorsal Horn of the Spinal Cord
Kardon, A. P., Polgár, E., Hachisuka, J., Snyder, L. M., Cameron, D., Savage, S., Cai, X., Karnup, S., Fan, C. R., Hemenway, G. M., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.046 · Cited by 369
Metadata
- Authors
- Ma, Q.
- Venue
- Journal of Clinical Investigation
- Published
- 2010-11-01
- Volume
- 120
- Issue
- 11
- Pages
- 3773-3778
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2132367206
- Cited by
- 169
- References
- 0
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Labeled lines meet and talk: population coding of somatic sensations. https://app.cochat.ai/papers/10.1172/jci43426
- The paper
- Ma, Q. (2010). Labeled lines meet and talk: population coding of somatic sensations. Journal of Clinical Investigation. https://doi.org/10.1172/jci43426
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.