The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.
Inter- and intra-laminar connections of pyramidal cells in the neocortex.
Abstract
The flow of excitation through cortical columns has long since been predicted by studying the axonal projection patterns of excitatory neurones situated within different laminae. In grossly simplified terms and assuming random connectivity, such studies predict that input from the thalamus terminates primarily in layer 4, is relayed 'forward' to layer 3, then to layers 5 and 6 from where the modified signal may exit the cortex. Projection patterns also indicate 'back' projections from layer 5 to 3 and layer 6 to 4. More recently it has become clear that the interconnections between these layers are not random; forward projections primarily contact specific pyramidal subclasses and intracortical back projections innervate interneurones. This indicates that presynaptic axons or postsynaptic dendrites are capable of selecting their synaptic partners and that this selectivity is layer dependent. For the past decade, we and others have studied pyramidal cell targeting in circuits both within, and between laminae using paired intracellular recordings with biocytin filling and have begun to identify further levels of selectivity through the preferential targeting of electrophysiologically and/or morphologically distinct pyramidal subtypes. Presented here, therefore, is a brief overview of current thinking on the layer and subclass specific connectivity of neocortical principle excitatory cells.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In biology, it is found that axons of the layer 2/3 pyramidal neurons travel several millimeters parallel to the layer 2/3 – layer 4 boundary and re-enter layer 2/3 to make excitatory connections to pyramidal cells there [43],[48].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [43]
In the citing paper
“In addition, the layer 2/3 neurons receive excitatory inputs from other layer 2/3 neurons via extensive lateral connections [43].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [43]
In the citing paper
“It is also known that the RS cells are mostly pre-synaptic to the IB cells [43].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [43]
In the citing paper
“The output of the RS cell goes to the IB cell.”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [43]
Citations
Cites
Two networks of electrically coupled inhibitory neurons in neocortex
Gibson, J. R., Beierlein, M., & Connors, B. W. (1999) · Nature · doi:10.1038/47035 · Cited by 1,404
Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex
Gilbert, C., & Wiesel, T. (1989) · Journal of Neuroscience · doi:10.1523/jneurosci.09-07-02432.1989 · Cited by 1,166
Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey
Rockland, K. S., & Pandya, D. Ν. (1979) · Brain Research · doi:10.1016/0006-8993(79)90485-2 · Cited by 1,076
Recurrent Excitation in Neocortical Circuits
Douglas, R. J., Christof Koch, A., Mahowald, M. A., Martin, K. A. C., & Suarez, H. H. (1995) · Science · doi:10.1126/science.7638624 · Cited by 985
NMDA spikes in basal dendrites of cortical pyramidal neurons
Schiller, J., Major, G., Koester, H. J., & Schiller, Y. (2000) · Nature · doi:10.1038/35005094 · Cited by 720
The thalamic matrix and thalamocortical synchrony
Jones, E. G. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01922-6 · Cited by 688
Lund, J. S., Lund, R. D., Hendrickson, A. E., Milam, A. H., & Fuchs, A. F. (1975) · The Journal of Comparative Neurology · doi:10.1002/cne.901640303 · Cited by 681
Structure, development, and plasticity of dendritic spines
Harris, K. M. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)80050-6 · Cited by 523
Organization of neurons in the visual cortex, area 17, of the monkey (Macaca mulatta)
Lund, J. S. (1973) · The Journal of Comparative Neurology · doi:10.1002/cne.901470404 · Cited by 505
Feldmeyer, D., Egger, V., Lübke, J., & Sakmann, B. (1999) · The Journal of Physiology · doi:10.1111/j.1469-7793.1999.00169.x · Cited by 441
Flagged first, then by citations
1 of the 49 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Feldman, 1984, Morphology of the neocortical neuron, vol. 1, 123
Cited by
Sorted by citations
Items 101–138 of 138
Locally Measured Neuronal Correlates of Functional MRI Signals
Shmuel, A., & Maier, A. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_6 · Cited by 6
Karameh, F. N., & Massaquoi, S. G. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01280.2007 · Cited by 3
A detailed theory of thalamic and cortical microcircuits for predictive visual inference
George, D., Lázaro-Gredilla, M., Lehrach, W. P., Dedieu, A., Zhou, G., & Marino, J. (2025) · Science Advances · doi:10.1126/sciadv.adr6698 · Cited by 3
Primary Auditory Cortex and the Thalamo-Cortico-Thalamic Circuitry I. Anatomy
Budinger, E. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-805408-6.00022-1 · Cited by 3
Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
Oprisan, S. A., Imperatore, J. P., Helms, J., Tompa, T., & Lavı́n, A. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00002 · Cited by 3
Oprisan, S. A., Clementsmith, X., Tompa, T., & Lavín, A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223469 · Cited by 3
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
Demattíes, D., Rizzi, S., Thiruvathukal, G. K., Perez, M. D., Wainselboim, A. J., & Zanutto, B. S. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00012 · Cited by 3
Developmental pattern changes of prefrontal efferents in the juvenile gerbil (Meriones unguiculatus)
Witte, A. V., Brummelte, S., & Teuchert, G. (2007) · Journal of Neural Transmission · doi:10.1007/s00702-007-0761-1 · Cited by 2
Tomita, K., Gotoh, H., Tomita, K., Yamauchi, N., & Sanbo, M. (2012) · Neuroscience Research · doi:10.1016/j.neures.2012.04.008 · Cited by 2
Non-zero Mean Alpha Oscillations are Evident in Computational Model and Empirical DataPreprint
Studenova, A., Villringer, A., & Nikulin, V. (2021) · bioRxiv · doi:10.1101/2021.12.01.470793 · Cited by 2
Ren, K., Chen, L., Sheng, G., Wang, J., Jin, X., & Jiang, K. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.11.039 · Cited by 1
Effects of focal cortical cooling on somatosensory evoked potentials in rats
Gotoh, M., Dezawa, S., Takashima, I., & Yamamoto, S. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148995 · Cited by 1
Locally Measured Neuronal Correlates of Functional MRI Signals
Shmuel, A., & Maier, A. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_4 · Cited by 1
Elucidating the Role of the Paraventricular Nucleus of the Thalamus in Cue-Motivated Behavior.
Haight, J. L. (2016) · Deep Blue (University of Michigan) · Cited by 1
Molecular mechanisms regulating the neuronal architecture in the mouse brain
Remus, A. (2012) · Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG)) · doi:10.24355/dbbs.084-201210101201-0 · Cited by 1
Effect of sinusoidal electrical cortical stimulation on brain cellsPreprint
Ryu, S., Kim, K., Seo, H., Cho, J., Park, J., Jun, S. C., & Kim, H.-I. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/855395 · Cited by 1
Dynamic changes in the development of prefrontal networks : neuroanatomical findings
Witte, A. V. (2007) · Publikationen an der Universität Bielefeld (Universität Bielefeld)
Network induces burst synchronisation in cat brainPreprint
Lameu, E. L., Borges, F. S., Borges, R. R., Batista, A. M., Baptista, M. S., & Viana, R. L. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1503.02212
Spatial patterns of neuronal activity in rat cerebral cortex during non-rapid eye movement sleep
Wanger, T., Wetzel, W., Scheich, H., Ohl, F. W., & Goldschmidt, J. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0867-9
COMMENTARY The Hippocampal Indexing Theory and Episodic Memory: Updating the Index
Teyler, T. J., & Rudy, J. W. (2007)
Jones, S., & Pritchett, D. L. (2007)
BDNF-Induced Release of Endogenous Cannabinoids at Inhibitory and Excitatory Synapses
Selvam, R. (2018) · OpenCommons at University of Connecticut (University of Connecticut)
Network Properties of Visual Cortex
Dougherty, K., & Maier, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.23906-0
Modelling and Measuring the Predictive Brain
Whyte, C. J. (2020) · The Sydney eScholarship Repository (The University of Sydney)
Jeschke, M., & Ohl, F. W. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.06.455461
Martin, K. A. C. (2009) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.1160698.622098
Cocaine regulates sensory filtering in cortical pyramidal neurons
Murphy, S. C., Godenzini, L., Guzulaitis, R., Lawrence, A. J., & Palmer, L. M. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112122
Empirical mode decomposition of local field potential data from optogenetic experiments
Oprisan, S. A., Clementsmith, X., Tompa, T., & Lavı́n, A. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1223879
Kenan-Vaknin, G., & Malach, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.18.643885
Komuro, K., Fushimi, M., Kainuma, Y., Zhu, T., Funatani, S., Chikaki, S., Tomita, H., Yawo, H., & Sekino, M. (2026) · AIP Advances · doi:10.1063/9.0001068
Hay, Y. A. (2014) · theses.fr (ABES) · doi:10.70675/e05a8175zd583z4b2ezbb03ze7d3e536abc3
Synaptic changes upon removal of extracellular perineuronal nets in adult mouse visual cortex
Faini, G. (2017) · theses.fr (ABES) · doi:10.70675/7b38d504z7edfz47dezbf9az0a8668ae448a
Cellular mechanisms of serotonergic psychedelics - apical hypercontextualisation
Kaup, K., Jiménez, J. H., & Aru, J. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106876
Braak, H., & Tredici, K. D. (2014) · Advances in anatomy, embryology and cell biology · doi:10.1007/978-3-319-12679-1_6
Metadata
- Authors
- Bannister, A. P.
- Affiliations
- University of London (GB)
- Corresponding author
- Bannister, A. Peter
- Venue
- Neuroscience Research
- Publisher
- Elsevier BV
- Published
- 2005-10
- Volume
- 53
- Issue
- 2
- Pages
- 95-103
- ISSN
- 0168-0102 (ISSN-L)
- OpenAlex
- W2039265322
- Cited by
- 138
- References
- 49
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 7 · 2021: 3 · 2020: 10 · 2019: 7 · 2018: 4 · 2017: 3 · 2016: 4 · 2015: 14 · 2014: 8 · 2013: 5 · 2012: 5
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- pyramidal neurons, neocortex, intracortical connections, cortical columns, axonal projection patterns, thalamocortical connections, back-projection, interneurons
- MeSH terms
- Animals, Humans, Neural Pathways, Pyramidal Cells, Neocortex
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
