The DOI matches its Crossref record; 186 of the 188 references it cites were found in a registry or an index, and 2 are not checked yet.
Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity
Open accessAbstract
We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm 3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.
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 doesn’t support the claim as written.
In the citing paper
“A high clustering coefficient and an over-representation of highly connected motifs suggest that the local structure of the brain displays a high degree of non-randomness, consistent with previous studies in C. elegans7,21 and in the mouse cortex11,24,25.”
From Network statistics of the whole-brain connectome of Drosophila (2024) · cites this paper as [11]
Checked by a reasoning model — may be wrong.
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
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430
Self-citationPyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et al. (2019) · arXiv · doi:10.48550/arxiv.1912.01703 · Cited by 31,473
Advances in neural information processing systems 7
(1996) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(96)90463-0 · Cited by 14,759
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository · doi:10.17863/cam.64134 · Cited by 10,460
Self-citationNetwork motifs: simple building blocks of complex networks.
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002) · Science · doi:10.1126/science.298.5594.824 · Cited by 7,368
seaborn: statistical data visualization
Waskom, M. (2021) · Journal of Open Source Software · doi:10.21105/joss.03021 · Cited by 7,310
Statsmodels: Econometric and Statistical Modeling with Python
Seabold, S., & Perktold, J. (2010) · Proceedings of the Python in Science Conferences · doi:10.25080/majora-92bf1922-011 · Cited by 6,968
Modeling by shortest data description
Rissanen, J. (1978) · Automatica · doi:10.1016/0005-1098(78)90005-5 · Cited by 6,011
(1987) · Medical Entomology and Zoology · Cited by 2,512
Flagged first, then by citations
Research works printed but not linked: 4
- Campagnola, 2021, Connectivity and synaptic physiology in the mouse and human neocortex, bioRxiv
- Maitin-Shepard, 2019, neuroglancer, Github
- Silversmith, 2022, Igneous: a python cloud pipeline for neuroglancer compatible downsampling, meshing, skeletonizing, remapping, and more, GitHub
- Zlateski, 2022, zmesh: multi-label marching cubes & mesh simplification, Paperpile
Cited by
Sorted by citations
Items 101–200 of 207
AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
Shah, U., Agus, M., Boges, D. J., Aldous, H., Chiappini, V., Alzubaidi, M. S., Hadwiger, M., Magistretti, P. J., Househ, M. S., & Calì, C. (2025) · Computers & Graphics · doi:10.1016/j.cag.2025.104239 · Cited by 5
Beniaguev, D., Shapira, S., Segev, I., & London, M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.28.478132 · Cited by 5
Virga, D. M., Hamilton, S., Osei, B., Morgan, A., Zamponi, E., Park, N. J., Hewitt, V. L., Zhang, D., Gonzalez, K. C., Bloss, E. B., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.25.534233 · Cited by 5
Self-citationDissecting origins of wiring specificity in dense reconstructions of neural tissuePreprint
Harth, P., Udvary, D., Boelts, J., Macke, J. H., Baum, D., Hege, H., & Oberlaender, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.14.628490 · Cited by 6
Unifying the Electron Microscopy Multiverse through a Large-scale Foundation ModelPreprint
He, L., Shi, R., Wang, W., Fang, G., Cai, Y., & Ма, Л. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.13.648639 · Cited by 5
Stretch and flow at the gliovascular interface: High-fidelity modeling of astrocyte endfeet
Causemann, M., Enger, R., & Rognes, M. E. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2517059123 · Cited by 4
Brain mitochondria as key drivers of cognition and behaviour
Sandi, C., Lobo, M. K., Hollis, F., Hirabayashi, Y., de Juan‐Sanz, J., & Bolaños, J. P. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-026-01061-1 · Cited by 5
Wilson, A. M., & Babadi, M. (2023) · Patterns · doi:10.1016/j.patter.2023.100693 · Cited by 4
Self-citationSynaptic configuration and reconfiguration in the neocortex are spatiotemporally selective
Sohn, J. (2023) · Anatomical Science International · doi:10.1007/s12565-023-00743-5 · Cited by 5
High-fidelity Image Restoration of Large 3D Electron Microscopy Volume
Kreinin, Y., Gunn, P., Chklovskii, D. B., & Wu, J. (2024) · Microscopy and Microanalysis · doi:10.1093/mam/ozae098 · Cited by 4
Self-citationScalable graph analysis tools for the connectomics communityPreprint
Matelsky, J., Johnson, E. C., Wester, B. A., & Gray-Roncal, W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.01.494307 · Cited by 4
A Novel Semi-automated Proofreading and Mesh Error Detection Pipeline for Neuron ExtensionPreprint
Joyce, J., Chalavadi, R., Chan, J., Tanna, S., Xenes, D., Kuo, N. P., Rose, V. A., Matelsky, J., Kitchell, L. M., Bishop, C. A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.20.563359 · Cited by 4
Huang, S., Rizzo, D., Wu, S. J., Xu, Q., Ziane, L., Alghamdi, N., Stafford, D. A., Daigle, T. L., Tasic, B., Zeng, H., et al. (2024) · Research Square · doi:10.1101/2024.06.05.597539 · Cited by 5
Structure-Function Mapping of Olfactory Bulb Circuits with Synchrotron X-ray NanotomographyPreprint
Zhang, Y., Bosch, C., Ackels, T., Laugros, A., Bonnin, A., Livingstone, J., Waltenberg, C., Berning, M., Tootoonian, S., Köllő, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.24.650439 · Cited by 5
Neuronal Synaptic Communication and Mitochondrial Energetics in Human Health and Disease
Glausier, J. R. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-89525-8_5 · Cited by 2
Social behavior: A tiny fish with prodigious skills
Engert, F. (2025) · Current Biology · doi:10.1016/j.cub.2024.12.009 · Cited by 3
Zhang, C., Chen, Q., & Chen, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16452-1_10 · Cited by 3
A milestone map of mouse-brain connectivity reveals challenging new terrain for scientists
Eisenstein, M. S. (2024) · Nature · doi:10.1038/d41586-024-01096-3 · Cited by 3
Riboul, D. V., Crill, S., Oliva, C. D., Restifo, M. G., Joseph, R., Joseph, K., Nguyen, K. C. Q., Hall, D. H., Fily, Y., & Macleod, G. T. (2024) · The Journal of Comparative Neurology · doi:10.1002/cne.70002 · Cited by 2
Han, X., Li, P. H., Wang, S., Blakely, T. M., Aggarwal, S., Gopalani, B., Sanchez, M., Schalek, R. L., Meirovitch, Y., Lin, Z., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.24.563674 · Cited by 3
Brain-wide monosynaptic single-neuron connectivity with ROInet-seqPreprint
Lin, Z., Ophir, O., Trimbuch, T., Brokowski, B., Tibi, M., Schmidt, H., Rosenmund, C., Hochgerner, H., & Zeisel, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.04.588058 · Cited by 3
Invariant synaptic density across speciesPreprint
Castro, A. F., & Cardona, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.18.604056 · Cited by 3
Visual information is broadcast among cortical areas in discrete channelsPreprint
Yu, Y., Stirman, J. N., Dorsett, C. R., & Smith, S. L. (2024) · eLife · doi:10.7554/elife.97848.2 · Cited by 3
Connectomic Organization of the Suprachiasmatic NucleusPreprint
Liu, J., Yu, J., Shen, L., Chen, X., Ma, L., Zhai, H., Li, L., Zhang, L., Wang, L., Yuan, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.20.619252 · Cited by 3
Connectome of a human foveal retinaPreprint
Kim, Y. J., PACKER, O. S., Macrina, T., Pollreisz, A., Curcio, C. A., Lee, K., Kemnitz, N., Ih, D., Nguyen, T., Lu, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.05.647403 · Cited by 3
Self-citationZheng, Z., Park, C., Hammerschmith, E. W., Lu, R., Yu, S.-C., Sorek, M., Silverman, B., Jordan, C. S., Sterling, A. R., Silversmith, W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.09.663979 · Cited by 3
Self-citationVSOT: volume-surface optimization for accurate ultrastructure analysis of dendritic spines
Lyu, B., Wang, J., Risher, W. C., & Yu, G. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf220 · Cited by 3
Portugal, C. C., Santos, E. C. D. S., Monteiro-Pacheco, A., Pinto, S., Almeida, T. O., Tedim-Moreira, J., Gavin, D., Canedo, T., de Oliveira, F. S., Cardoso, I., et al. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103851 · Cited by 2
Convergent information flows explain recurring firing patterns in cerebral cortex
Guarino, D., Filipchuk, A., & Alain Destexhe, A. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02128-5 · Cited by 3
Tamada, H. (2026) · The Journal of Physiology · doi:10.1113/jp287612 · Cited by 2
Electron Microscopic Mapping of Mitochondrial Morphology in the Cochlear Nerve Fibers
Lu, Y., Jiang, Y., Wang, F., Wu, H., & Hua, Y. (2024) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-024-00957-y · Cited by 2
Postsynaptic mitochondria are positioned to support functional diversity of dendritic spinesPreprint
Thomas, C. I., Ryan, M. A., Kamasawa, N., & Scholl, B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.14.549063 · Cited by 2
Neuronal Connectivity as a Determinant of Cell Types and SubtypesPreprint
Liu, L., Yun, Z., Manubens-Gil, L., Chen, H., Xiong, F., Dong, H., Zeng, H., Hawrylycz, M., Ascoli, G. A., & Peng, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.09.552547 · Cited by 2
Multi-output computation by single neuron biophysics in a visual systemPreprint
Seung, H. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.02.636137 · Cited by 2
Self-citationDevelopmental Connectomics of the Mouse CerebellumPreprint
Dhanyasi, N., Meirovitch, Y., Kapoor, V., Wilson, A. M., Wang, S., Wei, D., Schalek, R. L., Ma, R., Wu, Y., Manthena, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.15.676403 · Cited by 3
Self-citationA foundation AI model enhances electron microscopy image analysisPreprint
Du, M., Wang, Y., Xie, L., Deng, G., Guo, J., Han, B., Chen, Z., Rui, C., Han, J., Chen, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.28.708664 · Cited by 2
Calì, C., & Agus, M. (2024) · international conference on 3D web technology · doi:10.1145/3665318.3677154 · Cited by 1
Pathway-Specific Ultrastructure of Thalamocortical Synapses in Mouse Somatosensory Area S2
Martin-Correa, P. J., Rubio-Teves, M., Rodriguez-Moreno, J., Porrero, C., Rollenhagen, A., Hilgetag, C. C., Lübke, J. H. R., & Clascá, F. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1212-25.2025 · Cited by 1
Kuriyama, R., Akira, K., Green, L., Herrera, B., Dai, K., Iura, M., Gouaillardet, G., 寺澤, 麻., Kobayashi, T., Igarashi, J., et al. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3712285.3759819 · Cited by 5
A central somatotopic map of the fly leg supports spatially targeted grooming
Elabbady, L., Chou, G. M., Sustar, A., Cook, A., Collman, F., & Tuthill, J. C. (2026) · Current Biology · doi:10.1016/j.cub.2026.03.045 · Cited by 3
Self-citationA roadmap to navigate the future of neural engineering
Grill, W. M., Chestek, C. A., Wang, Y., Aberra, A. S., Alain Destexhe, A., Chan, R. H. M., Lu, B., Hanein, Y., Robinson, J. T., Whitmire, C., et al. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae78c2 · Cited by 2
Highly energy-efficient information-handling dynamics of the brain
G, J., & Guo, W. (2026) · National Science Review · doi:10.1093/nsr/nwag373 · Cited by 1
Building digital twin brains at the limits of measurement
Zhang, R., Hou, Y., Lu, W., & Feng, J. (2026) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-026-00320-8 · Cited by 1
Approaching a connectome of the human foveal retina
Kim, Y. J., PACKER, O. S., Macrina, T., Pollreisz, A., Curcio, C. A., Lee, K., Kemnitz, N., Ih, D., Nguyen, T., Lu, R., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2603286123 · Cited by 4
Self-citationDeciphering the genetic code of neuronal type connectivity through bilinear modeling
Qiao, M. (2023) · eLife · doi:10.7554/elife.91532 · Cited by 2
Deciphering the genetic code of neuronal type connectivity through bilinear modeling
Qiao, M. (2024) · eLife · doi:10.7554/elife.91532.3 · Cited by 1
3D Quantitative Analysis of Synaptic Ultrastructure in Identified Long-Range Projection Axons
Martin-Correa, P. J., Rodriguez-Moreno, J., Rollenhagen, A., Lübke, J. H. R., & Clascá, F. (2024) · Neuromethods · doi:10.1007/978-1-0716-4019-7_11 · Cited by 1
Beyond neurons: computer vision methods for analysis of morphologically complex astrocytes
Syed, T. A., Youssef, M., Schober, A. L., Kubota, Y., Murai, K. K., & Salmon, C. K. (2024) · Frontiers in Computer Science · doi:10.3389/fcomp.2024.1156204 · Cited by 2
Temporal resolution of spike coding in feedforward networks with signal convergence and divergence
Mobille, Z., Sikandar, U. B., Sponberg, S., & Choi, H. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012971 · Cited by 2
Using BossDB Tools to Access, Visualize, and Share Volumetric Neuroscience Data
Martinez, H., Guittari, N., Gion, T., Hider, R., Johnson, E. C., Matelsky, J., Tregoning, N., Xenes, D., & Wester, B. A. (2025) · Current Protocols · doi:10.1002/cpz1.70247 · Cited by 1
Sheng, K., Zhang, S., Zhang, S., He, Y., Beau, M., Qu, P., Liu, X., Zhang, Y., Ma, L., & Du, K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.03.510694 · Cited by 2
Postsynaptic mitochondria are positioned to support functional diversity of dendritic spinesPreprint
Thomas, C. I., Ryan, M. A., Kamasawa, N., & Scholl, B. (2023) · eLife · doi:10.7554/elife.89682.1 · Cited by 3
Deciphering the Genetic Code of Neuronal Type Connectivity: A Bilinear Modeling ApproachPreprint
Qiao, M. (2023) · eLife · doi:10.7554/elife.91532.1 · Cited by 1
Visual information is broadcast among cortical areas in discrete channelsPreprint
Yu, Y., Stirman, J. N., Dorsett, C. R., & Smith, S. L. (2024) · eLife · doi:10.7554/elife.97848 · Cited by 2
A new framework for analyzing mass transport in cortical brain tissue at <10 nm resolutionPreprint
Elbert, D. L., & Esguerra, D. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.02.646802 · Cited by 1
Methods for simulations with thousands of interacting objects to model mass transport in the brainPreprint
Elbert, D. L., & Esguerra, D. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.03.647052 · Cited by 1
PyReconstruct: A fully opensource, collaborative successor to ReconstructPreprint
Chirillo, M. A., Falco, J. N., Musslewhite, M. D., Lindsey, L. F., & Harris, K. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.21.649793 · Cited by 1
Portugal, C. C., Santos, E. C. D. S., Pacheco, A. M., Pinto, S., Almeida, T. O., Tedim-Moreira, J., Gavin, D., Canedo, T., de Oliveira, F. S., Summavielle, T., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.29.582679 · Cited by 1
Histologically Informed Multiscale Modeling of the Neuronal Elements Activated by TMSPreprint
Worbs, T., Nielsen, J. D., Wang, B., Hansen, J. G., Grill, W. M., Peterchev, A. V., & Thielscher, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.05.730288 · Cited by 1
Microglia extract neuronal proteolytic organelles via skoupocytosisPreprint
Pepper, R., Griswold, J. M., Middleton-Davis, F., Syed, S., Imoto, Y., Tran, L., Park, E., Xu, Y. K. T., Bergles, D. E., Buchanan, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.22.740182 · Cited by 1
Self-citationUncovering features of synapses in primary visual cortex through contrastive representation learningPreprint
Wilson, A. M., & Babadi, M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.07.495207
Self-citationTopology recapitulates ontogeny of dendritic arborsPreprint
Liao, M., Bird, A. D., Cuntz, H., & Howard, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.27.530331
Synaptic and dendritic architecture of different types of hippocampal somatostatin interneuronsPreprint
Takács, V. T., Bardóczi, Z., Orosz, Á., Major, Á., Tar, L., Berki, P., Papp, P., Mayer, M. I., Sebők, H., Zsolt, L., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.14.540675
Deciphering the Genetic Code of Neuronal Type Connectivity Through Bilinear ModelingPreprint
Qiao, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.01.551532
Postsynaptic mitochondria are positioned to support functional diversity of dendritic spinesPreprint
Thomas, C. I., Ryan, M. A., Kamasawa, N., & Scholl, B. (2023) · eLife · doi:10.7554/elife.89682.2
Dummer, P. D., Lee, D. I., Hossain, S., Wang, R., Evard, A., Newman, G., Ho, C., Schneider-Mizell, C. M., Menon, V., & Au, E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.22.586340
Self-citationDeciphering the Genetic Code of Neuronal Type Connectivity: A Bilinear Modeling ApproachPreprint
Qiao, M. (2024) · eLife · doi:10.7554/elife.91532.2
Self-Supervised Learning of Skeleton-Aware Morphological Representation for 3D Neuron Segments
Zhu, D., Chen, Q., & Chen, X. (2024) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv62453.2024.00140
Structural diversity of mitochondria in the neuromuscular system across developmentPreprint
Bae, J. A., Choi, M.-K., Ahn, S., Ko, G., Choe, D. T., Yim, H., Nguyen, K. C. Q., Kim, J. S., Hall, D. H., & Lee, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.19.604219
Self-citationVision Systems for Volume Electron Microscopy
King, J., Kumar, N., & Phamdo, T. (2024) · Microscopy and Microanalysis · doi:10.1093/mam/ozae044.485
Astrocytes and Microglia in Chronic Postsurgical Pain
Zhu, A., Shen, L., & Huang, Y. (2024) · Springer eBooks · doi:10.1007/978-981-99-8921-8_7
Large-Volume Electron Microscopy
Kubota, Y., Miyazaki, T., & Takeno, M. M. (2024) · Neuromethods · doi:10.1007/978-1-0716-4019-7_6
Self-citationThe 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
Bae, J. A., Choi, M.-K., Ahn, S., Ko, G., Choe, D. T., Yim, H., Nguyen, K. C. Q., Kim, J. S., Hall, D. H., & Lee, J. (2025) · Advanced Science · doi:10.1002/advs.202411191
Self-citationBird’s Eye View of Artificial Intelligence in Neuroscience
Zhou, M. H., Lin, E., Ye, A. Q., Mukherjee, P., & Yuh, E. L. (2025) · AI in neuroscience. · doi:10.1089/ains.2024.0001 · Cited by 1
Tumma, N., Kong, L., Sawmya, S., Wang, T. T., & Shavit, N. (2024) · Neural Networks · doi:10.1016/j.neunet.2025.107688
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
García‐Marín, V., & Hawken, M. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.04.668334
Local Dendritic Landscape of Mouse V1Preprint
Medina, N. D., Sorokina, A., & Kasthuri, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.10.664234
Mitochondria remodel near synapses to boost metabolic capacity and fuel plasticityPreprint
Shah, M., Ghosh, I., Ramesh, N. S., Pishos, L., Pancani, T., Villani, V., Yasuda, R., Loomba, S., Sun, C., Kamasawa, N., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.27.672715 · Cited by 1
Ambient effects on neural stem cells: Insights from Drosophila
Ren, X., Zhang, Q., Zhang, H., Zhang, L., Yu, Y., Chen, Q., & An, H. (2025) · World Journal of Meta-Analysis · doi:10.13105/wjma.v13.i3.107588
Talapka, P., Kocsis, Z., Marsi, L. D., Szarvas, V. E., & Kisvárday, Z. F. (2025) · Frontiers in Neural Circuits · doi:10.3389/fncir.2025.1644572
Tracking the morphological evolution of neuronal dendrites by first-passage analysis
Kreten, F. H., Niemeyer, B. A., Santen, L., & Shaebani, M. R. (2025) · Biophysical Journal · doi:10.1016/j.bpj.2025.11.005 · Cited by 1
Measuring and locating the changes in protein structure using MELO
Zheng, L., Liao, Y., Zhang, Y., Liu, M., Lu, M., Fu, T., Shi, S., Sun, X., Gu, C., Sun, H., et al. (2026) · Nature Communications · doi:10.1038/s41467-025-68110-8
Are Synaptic Clefts Directionally Oriented?Preprint
Tang, D., Deng, Z., Danskin, B. P., Berger, D. R., Ingersoll, M., Lu, H., Rosen, B. R., Bikson, M., Noetscher, G. M., & Makaroff, S. N. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.30.702623
Digging Deep into Alzheimer Disease: How Electron Microscopy Helps Elucidating Its Pathogenesis
Dallere, S., Migheli, A., & Vercelli, A. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01676-z
In silico neuronal morphology classification: A systematic review
Lobato, F. M. F., Leite, J. B. P., Jacob, A. C., & Santana, R. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.02.044
Visual information is broadcast among cortical areas in discrete channels
Yu, Y., Stirman, J. N., Dorsett, C. R., & Smith, S. L. (2026) · eLife · doi:10.7554/elife.97848.3 · Cited by 1
McLaughlin, D., Bierling, M., O’Brien, C. P., Sinton, D. A., Thiele, S., & Böhm, T. (2026) · Microscopy and Microanalysis · doi:10.1093/mam/ozag012
García‐Marín, V., & Hawken, M. J. (2026) · Cerebral Cortex · doi:10.1093/cercor/bhag038
Yang, S., Tyagi, S., Rosenmund, C., & Herman, M. A. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1819116
Guo, J., Zhang, Y., Zhai, H., Jiang, Y., Zhang, Q., Hua, Y., Liu, J., & Han, H. (2026) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2026.3706567
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
Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification
Jiang, L., Zhang, Y., Guo, J., Chen, C., Yan, H., Yuan, Y., Liu, J., & Han, H. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38224-5_59
Mapping brain-wide monosynaptic inputs to single neurons with ROInet-seq
Lin, Z., Ophir, O., Trimbuch, T., Gann, B., Tibi, M., Schmidt, H., Rosenmund, C., Hochgerner, H., & Zeisel, A. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101512 · Cited by 3
Deep learning segmentation with curvature consistency reveals astrocyte nanostructure across species
Fok, A. H. K., Wang, Y., Ng, M., Syed, T. A., Wong, T. L. H., Salmon, C. K., Salathiel, T., Grondin-Eddy, W., Fan, L., Kaleem Siddiqi, A., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117725
Zheng, Z., Park, C., Hammerschmith, E. W., Lu, R., Yu, S.-C., Sorek, M., Silverman, B., Jordan, C. S., Sterling, A. R., Silversmith, W., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02388-9 · Cited by 5
Self-citationSubtypes of neurons in the cerebellar cortex
Regehr, W. G., Macosko, E. Z., & Hull, C. (2026) · Neuron · doi:10.1016/j.neuron.2026.07.017
NeMoCo: Self-supervised contrastive learning for ultrastructural 3D neuroscience morphologies
Shaffique, H., Shah, U., Alzubaidi, M. S., Schneider, J., Magistretti, P. J., Calì, C., Househ, M., & Agus, M. (2026) · Graphical Models · doi:10.1016/j.gmod.2026.101339
Metadata
- Authors
- Turner, N. L., Macrina, T., Bae, J. A., Yang, R., Wilson, A. M., Schneider-Mizell, C., Lee, K., Lu, R., Wu, J., Bodor, A. L., Bleckert, A. A., Brittain, D., Froudarakis, E., Dorkenwald, S., Collman, F., Kemnitz, N., Ih, D., Silversmith, W. M., Zung, J., Zlateski, A., Tartavull, I., Yu, S.-C., Popovych, S., Mu, S., Wong, W., Jordan, C. S., Castro, M., Buchanan, J., Bumbarger, D. J., Takeno, M., Torres, R., Mahalingam, G., Elabbady, L., Li, Y., Cobos, E., Zhou, P., Suckow, S., Becker, L., Paninski, L., Polleux, F., Reimer, J., Tolias, A. S., Reid, R. C., da Costa, N. M., & Seung, H. S.
- Affiliations
- Princeton University (US)
- Allen Institute for Brain Science (US)
- Baylor College of Medicine (US)
- Massachusetts Institute of Technology (US)
- Columbia University (US)
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- Corresponding author
- Seung, H. Sebastian
- ORCID
- Turner, Nicholas L.
- Macrina, Thomas
- Bae, J. Alexander
- Yang, Runzhe
- Wilson, Alyssa M.
- Schneider-Mizell, Casey
- Lee, Kisuk
- Lu, Ran
- Wu, Jingpeng
- Bleckert, Adam A.
- Brittain, Derrick
- Froudarakis, Emmanouil
- Dorkenwald, Sven
- Collman, Forrest
- Kemnitz, Nico
- Ih, Dodam
- Silversmith, William M.
- Zung, Jonathan
- Zlateski, Aleksandar
- Tartavull, Ignacio
- Yu, Szi-chieh
- Mu, Shang
- Jordan, Chris S.
- Castro, Manuel
- Buchanan, JoAnn
- Bumbarger, Daniel J.
- Takeno, Marc
- Torres, Russel
- Mahalingam, Gayathri
- Elabbady, Leila
- Li, Yang
- Zhou, Pengcheng
- Becker, Lynne
- Paninski, Liam
- Polleux, Franck
- Reimer, Jacob
- Tolias, Andreas S.
- Reid, R. Clay
- da Costa, Nuno Maçarico
- Seung, H. Sebastian
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 185
- Issue
- 6
- Pages
- 1082-1100.e24
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC9337909
- OpenAlex
- W4213455879
- Cited by
- 206
- References
- 188
- Citations by year
- 2026: 37 · 2025: 50 · 2024: 49 · 2023: 44 · 2022: 24
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 381 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01mh114824-05)
- National Institute of Mental Health (U01 MH114824, RF1MH117815, RF1MH123400, T32MH065214)
- National Eye Institute (R01EY027036)
- National Institute of Neurological Disorders and Stroke (R01NS104926, U19NS104648, R01NS107483)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neocortex, cortical reconstruction, pyramidal neurons, non-pyramidal neurons, astrocytes, microglia, oligodendrocytes, pericytes, cortical vasculature, mitochondria, synaptic organization, visual responses, cortical circuits, electron microscopy
- MeSH terms
- Animals, Microscopy, Electron, Synapses, Organelles, Pyramidal Cells, Neocortex, Mice
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