The DOI matches its Crossref record; 99 of the 101 references it cites were found in a registry or an index.
Dense connectomic reconstruction in layer 4 of the somatosensory cortex
Open accessPublished version of a preprint
Abstract
Brain anatomy revealed in startling detail: The mammalian cerebral cortex is an enormously complex network of neuronal processes that are long and thin, branching, and extremely densely packed. This high packing density has made the reconstruction of cortical neuronal networks challenging. Motta et al. used advanced automated imaging and analysis tools to reconstruct with high spatial resolution the morphological features of 89 neurons and their connections in the mouse barrel cortex. The reconstruction covered an area more than two orders of magnitude larger than earlier neuroanatomical mapping attempts. This approach revealed information about the connectivity of inhibitory and excitatory synapses of corticocortical as well as excitatory thalamocortical connections. Science , this issue p. eaay3134
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, this characteristic is often misinterpreted as implying that synapses on dendritic shafts are mostly SS (Motta et al., 2019; Karimi et al., 2020; Loomba et al., 2022).”
From Unambiguous identification of asymmetric and symmetric synapses using volume electron microscopy (2024) · cites this paper as Motta et al., 2019
Experimental — accuracy not yet measured
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
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832
Structural basis of long-term potentiation in single dendritic spines
Matsuzaki, M., Honkura, N., Ellis-Davies, G. C. R., & Kasai, H. (2004) · Nature · doi:10.1038/nature02617 · Cited by 2,483
Globally optimal stitching of tiled 3D microscopic image acquisitions
Preibisch, S., Saalfeld, S., & Tomancak, P. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp184 · Cited by 2,452
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
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
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491
A place theory of sound localization.
Jeffress, L. A. (1948) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0061495 · Cited by 1,484
Flagged first, then by citations
2 of the 101 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- D. Rolnick N. Shavit Morphological error detection in 3D segmentations. arXiv:1705.10882 [cs.CV] (30 May 2017). · arXiv
Cited by
Sorted by citations
Items 301–336 of 336
New Results from Brain Research and Neuroscience
Palm, G. (2022) · Springer eBooks · doi:10.1007/978-3-031-00311-0_9
On the Structure and Function of Cortical Areas
Palm, G. (2022) · Springer eBooks · doi:10.1007/978-3-031-00311-0_4
Accelerating Allen Brain Institute’s Large-Scale Computational Model of Mice Primary Visual Cortex
Wang, Z., Wang, K., & Hu, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20503-3_57
Kirchner Jan, H., Lucas, E., & Julijana, G. (2023) · eLife · doi:10.7554/elife.87527.1.sa0
Kirchner, J. H., Euler, L., & Gjorgjieva, J. (2023) · eLife · doi:10.7554/elife.87527.1.sa4
Kirchner, J. H., Euler, L., & Gjorgjieva, J. (2023) · eLife · doi:10.7554/elife.87527.1.sa1
Kirchner, J. H., Euler, L., & Gjorgjieva, J. (2023) · eLife · doi:10.7554/elife.87527.1.sa2
Focus on Tauopathies and Beyond
Behl, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-31570-1_13
Efficient Search for Circuit Structure by ‘Smooth-Index’ Matrix-ReorderingPreprint
Borst, A., & Denk, W. T. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.26.559501
Building a small brain with a simple stochastic generative modelPreprint
Richter, O., & Schneidman, E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.01.601562
Reimann, M. W., Bolanõs-Puchet, S., Courcol, J.-D., et al. (2024) · eLife · doi:10.7554/elife.99688.1.sa2
Reimann, M. W., Bolanõs-Puchet, S., Courcol, J.-D., et al. (2024) · eLife · doi:10.7554/elife.99688.1.sa0
Reimann, M. W., Bolanõs-Puchet, S., Courcol, J.-D., et al. (2024) · eLife · doi:10.7554/elife.99688.1.sa1
Structural characterization of low-dimensional materials
Cheng, H., Tang, D., Zou, X., & Zhang, L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-29046-6.00010-9
The Functional Connectome Mediating Circadian Synchrony in the Suprachiasmatic NucleusPreprint
Nikhil, K. L., Singhal, B., Granados‐Fuentes, D., Li, J.-S., Kiss, I. Z., & Herzog, E. D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.06.627294
Li, Z., Yang, X., Liu, J., Zhang, Y., Liu, J., Liu, B., Liu, Z., & Han, H. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3581433
Zhang, E., Leener, B. D., & Lodygensky, G. A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121324
Memristors Based on Two-Dimensional Layered Halide Perovskites for Neuromorphic Computing
Wu, Y., Huang, S., Panes‐Ruiz, L. A., Ascoli, A., Tetzlaff, R., & Cuniberti, G. (2025) · IEEE International Conference on IC Design and Technology (ICICDT) · doi:10.1109/icicdt65192.2025.11078115
Fritz, I., Wang, F., Chirif, R., Malakasis, N., Gjorgjieva, J., & Castro, A. F. (2025) · eLife · doi:10.7554/elife.108643
Fritz, I., Wang, F., Chirif, R., Malakasis, N., Gjorgjieva, J., & Castro, A. F. (2025) · eLife · doi:10.7554/elife.108643.1
Yang, J., Huo, J., Liu, M., Feng, C., Zhang, Y., Pan, G., Meng, W., & Han, R. (2026) · Advanced Science · doi:10.1002/advs.202511922
Emergence of clustered synapses during the development of a nervous system
Balshayi, Y., Bokman, E., & Zaslaver, A. (2026) · BMC Biology · doi:10.1186/s12915-026-02539-1 · Cited by 1
Isotropic Reconstruction of Anisotropic vEM Volumes with ViT-Guided Diffusion
Qiu, J., Wan, G., Zhou, Z., Liao, M., Liu, X., Li, X., & Du, B. (2026) · Electronics · doi:10.3390/electronics15061181
Straehle, J., Galanis, C., Grünewald, L., Balta, E., Deller, T. D., Häussler, U., Mizaikoff, B., Beck, J., & Vlachos, A. (2026) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2026.1771781
Berger, S., & Agnes, E. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.27.714865
Ahmed, I., Zhang, B.-L., Yue, B., Islam, N., Rahman, M. A., Mithu, M. M., & Tang, X. (2026) · New medicine. · doi:10.61958/nmqv6943
Fokus auf Tauopathien und mehr
Behl, C. (2026) · Springer eBooks · doi:10.1007/978-3-662-72210-7_13
Zamora-Ursulo, M. A., & Manjarrez, E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.25.734571 · Cited by 1
Spatial synaptic regularization stabilizes learning across biological and artificial neural networksPreprint
Haoxing, Z., Chen, Y., Zhao, P., Xiong, Z., Peng, H., Wu, F., & Zhang, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.29.735142
Shi, T., Chen, Y., Liu, C., & Zhang, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.30.735468
Structural characteristics of local cortical networks wired by distance dependent connectivity rules
Hellwig, B. (2026) · BMC Neuroscience · doi:10.1186/s12868-026-01050-1
Metadata
- Authors
- Motta, A., Berning, M., Boergens, K. M., Staffler, B., Beining, M., Loomba, S., Hennig, P., Wissler, H., & Helmstaedter, M.
- Affiliations
- Max Planck Institute for Brain Research (DE)
- Max Planck Society (DE)
- Corresponding author
- Motta, Alessandro
- Berning, Manuel
- Boergens, Kevin M.
- Staffler, Benedikt
- Wissler, Heiko
- ORCID
- Venue
- Science
- Published
- 2019-11-29
- Volume
- 366
- Issue
- 6469
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2982268628
- Cited by
- 333
- References
- 101
- Citations by year
- 2026: 23 · 2025: 37 · 2024: 62 · 2023: 55 · 2022: 60 · 2021: 52 · 2020: 40 · 2019: 2
- FWCI
- 18.45
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Max-Planck-Gesellschaft
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Keywords
- connectome reconstruction, barrel cortex, layer 4, somatosensory cortex, mice, Hebbian synaptic plasticity, long-term potentiation, neural circuits, 3D electron microscopy
- MeSH terms
- Animals, Axons, Male, Mice, Inbred C57BL, Microscopy, Electron, Neurons, Somatosensory Cortex, Synapses, Neuropil, Imaging, Three-Dimensional, Mice, Connectome
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
