The DOI matches its Crossref record; 205 of the 205 references it cites were found in a registry or an index.
Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration
Open accessAbstract
Many of our daily activities, such as riding a bike to work or reading a book in a noisy cafe, and highly skilled activities, such as a professional playing a tennis match or a violin concerto, depend upon the ability of the brain to quickly make moment-to-moment adjustments to our behavior in response to the results of our actions. Particularly, they depend upon the ability of the neocortex to integrate the information provided by the sensory organs (bottom-up information) with internally generated signals such as expectations or attentional signals (top-down information). This integration occurs in pyramidal cells (PCs) and their long apical dendrite, which branches extensively into a dendritic tuft in layer 1 (L1). The outermost layer of the neocortex, L1 is highly conserved across cortical areas and species. Importantly, L1 is the predominant input layer for top-down information, relayed by a rich, dense mesh of long-range projections that provide signals to the tuft branches of the PCs. Here, we discuss recent progress in our understanding of the composition of L1 and review evidence that L1 processing contributes to functions such as sensory perception, cross-modal integration, controlling states of consciousness, attention, and learning.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“the distal compartment receives input from neuromodulatory centers [36], other cortical areas [37–39], and the non-lemniscal thalamus [40,41]”
From Testing circuit-level theories of consciousness in humans (2026) · cites this paper as [36]
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
Items 201–205 of 205
Cortical Neurobiology: A Slanted Historical Perspective
Hubel, D. H. (1982) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.05.030182.002051 · Cited by 32
Cellular birthdate predicts laminar and regional cholinergic projection topography in the forebrain
Allaway, K. C., Muñoz, W., Tremblay, R., Sherer, M., Herron, J., Rudy, B., Machold, R. P., & Fishell, G. (2020) · eLife · doi:10.7554/elife.63249 · Cited by 32
Self-citationMorrissette, A. E., Chen, P., Bhamani, C., Borden, P. Y., Waiblinger, C., Stanley, G. B., & Jaeger, D. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.10.031 · Cited by 14
Ibrahim, L. A., Huang, S., Fernández-Otero, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.08.425944 · Cited by 8
Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mouse
Van Pett, K., Viau, V., Bittencourt, J. C., Chan, R. K. W., Li, H.-Y., Arias, C., Prins, G. S., Perrin, M., Vale, W., & Sawchenko, P. E. (2000) · The Journal of Comparative Neurology · doi:10.1002/1096-9861(20001211)428:2
Research works printed but not linked: 7
- Chen Z, 2015, Front. Neural. Circuits, 9, 83
- Chou XL, 2020, eLife, 9:e54157
- Guillery RW., 1995, J. Anat., 187, 583
- Jones EG., 2007, The Thalamus
- Kerlin A, 2019, eLife, 8:e46966
- Krnjevic K, 1965, J. Anat., 99, 711
- Zhang W, 2019, eLife, 8:e44158
Cited by
Sorted by citations
STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mapping
Clifton, K., Anant, M. M.-G., Aihara, G., Atta, L., Aimiuwu, O. K., Kebschull, J. M., Miller, M. I., Tward, D. J., & Fan, J. (2023) · Nature Communications · doi:10.1038/s41467-023-43915-7 · Cited by 139
Where is the error? Hierarchical predictive coding through dendritic error computation
Mikulasch, F. A., Rudelt, L., Wibral, M., & Priesemann, V. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.09.007 · Cited by 141
Chartrand, T., Dalley, R., Close, J., Goriounova, N. A., Lee, B. R., Mann, R., Miller, J. A., Molnar, G., Mukora, A., Alfiler, L., et al. (2023) · Science · doi:10.1126/science.adf0805 · Cited by 88
Ibrahim, L. A., Huang, S., Fernández-Otero, M., Sherer, M., Qiu, Y., Vemuri, S., Xu, Q., Machold, R. P., Pouchelon, G., Rudy, B., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.004 · Cited by 61
Self-citationLayer 6b controls brain state via apical dendrites and the higher-order thalamocortical system
Zolnik, T. A., Bronec, A., Ross, A., Staab, M., Sachdev, R. N. S., Molnár, Z., Eickholt, B. J., & Larkum, M. E. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.021 · Cited by 57
Metadata
- Authors
- Schuman, B., Dellal, S., Prönneke, A., Machold, R., & Rudy, B.
- Affiliations
- New York University (US)
- Corresponding author
- Rudy, Bernardo
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2021-07-08
- Volume
- 44
- Issue
- 1
- Pages
- 221-252
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC9012327
- OpenAlex
- W3138514668
- Cited by
- 148
- References
- 204
- Citations by year
- 2026: 22 · 2025: 28 · 2024: 31 · 2023: 47 · 2022: 12 · 2021: 8
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (T32MH096331)
- National Institute of Neurological Disorders and Stroke (R01NS107257, P01NS074972, R01NS110079, F31NS106793)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- top-down processing, bottom-up processing, pyramidal neurons, apical dendrites, sensory perception, cross-modal integration, consciousness, attention, learning, cortical integration
- MeSH terms
- Dendrites, Learning, 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