The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions
Abstract
The vast majority of excitatory synaptic inputs to neocortical pyramidal cells terminate on dendritic spines, which can thus serve as markers, visible by light microscopy, for the locations of these synapses. The aim of this study was to provide estimates of the total numbers and distributions of spines on the dendrites of individual pyramidal neurones from layers 2/3 and 5 of the visual cortex of the rat. High magnification camera lucida drawings were made of dendritic segments lying close to the plane of section and the number of spines per unit length of dendrite calculated for each. These spine densities were used to estimate the numbers of spines on the other dendritic segments and the results were entered to a computer program that calculated various statistics. Mean total numbers of spines per cell were 7,965 ± 2,723 (S.D.) for layer 2/3 cells, 8,647 ± 3,097 for slender layer 5 cells, and 14,932 ± 3,371 for thick layer 5 cells; these figures are in good agreement with previous stereological estimates. For all cell classes, 70% or more of spines were located on the basal and apical oblique dendrites. The distribution of spines with respect to cortical layers was also explored. Most cells had most of their spines in the layer containing the soma, but there were differences within and between cell classes. Layer 2/3 cells showed a progressive reduction in the proportion of their spines in layers 1 and 2 with increasing depth of their soma in the cortex. Thick layer 5 cells had substantial contributions from layers 4, 3, 2, and especially layer 1. Slender layer 5 cells had small contributions from layers 6 and 4, but relatively few spines in layers 3 and 2. The distribution of spines with path distance from the soma was explored by estimating the numbers of spines contained within a series of concentric shells centred on the soma. All cells showed a rapid increase in the number of spines per shell for the proximal 100 μm or so, followed by a sharp decline to approximately 250 μm, beyond which the number remained relatively constant until the end of the terminal arbor. In each case, the majority of spines were located within a path length of 150 μm from the soma.
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
Harris, K., & Stevens, J. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-08-02982.1989 · Cited by 1,073
Colonnier, M. (1968) · Brain Research · doi:10.1016/0006-8993(68)90234-5 · Cited by 946
Turner, A. M., & Greenough, W. T. (1985) · Brain Research · doi:10.1016/0006-8993(85)90525-6 · Cited by 459
Density of neurons and synapses in the cerebral cortex of the mouse
Schüz, A., & Palm, G. (1989) · Journal of Comparative Neurology · doi:10.1002/cne.902860404 · Cited by 376
Rothblat, L. A., & Schwartz, M. L. (1979) · Brain Research · doi:10.1016/0006-8993(79)90203-8 · Cited by 103
Cited by
Reconstruction and Simulation of Neocortical Microcircuitry
Markram, H., Muller, E., Ramaswamy, S., Reimann, M. W., Abdellah, M., Sanchez, C. A., Ailamaki, A., Alonso-Nanclares, L., Antille, N., Arsever, S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.029 · Cited by 1,557
Jansen, B. H., & Rit, V. G. (1995) · Biological Cybernetics · doi:10.1007/bf00199471 · Cited by 1,159
The cost of cortical computation.
Lennie, P. (2003) · Current Biology · doi:10.1016/s0960-9822(03)00135-0 · Cited by 1,134
DeFelipe, J., & Fariñas, I. (1992) · Progress in Neurobiology · doi:10.1016/0301-0082(92)90015-7 · Cited by 975
Computational subunits in thin dendrites of pyramidal cells
Polsky, A., Mel, B. W., & Schiller, J. (2004) · Nature Neuroscience · doi:10.1038/nn1253 · Cited by 817
Metadata
- Authors
- Larkman, A. U.
- Venue
- Journal of Comparative Neurology
- Publisher
- Wiley
- Published
- 1991-04-08
- Volume
- 306
- Issue
- 2
- Pages
- 332-343
- ISSN
- 0021-9967 (ISSN-L)
- 1096-9861
- OpenAlex
- W2117113597
- Cited by
- 274
- References
- 5
- FWCI
- 2.66
- 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: Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions. https://app.cochat.ai/papers/10.1002/cne.903060209
- The paper
- Larkman, A. U. (1991). Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions. Journal of Comparative Neurology. https://doi.org/10.1002/cne.903060209
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.