The DOI matches its Crossref record; 76 of the 77 references it cites were found in a registry or an index.
Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human Neocortex
Open accessAbstract
The size and shape of dendrites and axons are strong determinants of neuronal information processing. Our knowledge on neuronal structure and function is primarily based on brains of laboratory animals. Whether it translates to human is not known since quantitative data on "full" human neuronal morphologies are lacking. Here, we obtained human brain tissue during resection surgery and reconstructed basal and apical dendrites and axons of individual neurons across all cortical layers in temporal cortex (Brodmann area 21). Importantly, morphologies did not correlate to etiology, disease severity, or disease duration. Next, we show that human L(ayer) 2 and L3 pyramidal neurons have 3-fold larger dendritic length and increased branch complexity with longer segments compared with temporal cortex neurons from macaque and mouse. Unsupervised cluster analysis classified 88% of human L2 and L3 neurons into human-specific clusters distinct from mouse and macaque neurons. Computational modeling of passive electrical properties to assess the functional impact of large dendrites indicates stronger signal attenuation of electrical inputs compared with mouse. We thus provide a quantitative analysis of "full" human neuron morphologies and present direct evidence that human neurons are not "scaled-up" versions of rodent or macaque neurons, but have unique structural and functional properties.
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?
In the citing paper
“Indeed there is evidence for significant neuronal differences between rodents and human; for example, distinct membrane8,9 and synaptic10–14 properties and dendritic complexity15–17 of human neurons might contribute to human specific signal processing.”
From Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type (2018) · cites this paper as [17]
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
Multilevel analysis techniques and applications
Hox, J. J., Moerbeek, M., & van de Schoot, R. (2002) · Cited by 6,006
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Hox, J., Moerbeek, M., & van de Schoot, R. (2010) · doi:10.4324/9780203852279 · Cited by 3,469
Thorndike, R. L. (1953) · Psychometrika · doi:10.1007/bf02289263 · Cited by 2,264
Pyramidal neurons: dendritic structure and synaptic integration
Spruston, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2286 · Cited by 1,688
Evolution of the neocortex: a perspective from developmental biology
Rakic, P. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2719 · Cited by 1,565
Uniquely Hominid Features of Adult Human Astrocytes
Oberheim, N. A., Takano, T., Han, X., He, W., Lin, J. H. C., Wang, F., Xu, Q., Wyatt, J. D., Pilcher, W., Ojemann, J. G., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4707-08.2009 · Cited by 1,488
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411
Influence of dendritic structure on firing pattern in model neocortical neurons
Mainen, Z. F., & Sejnowski, T. J. (1996) · Nature · doi:10.1038/382363a0 · Cited by 1,231
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
Flagged first, then by citations
1 of the 77 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 278
Multi-scale spiking network model of human cerebral cortex
Pronold, J., van Meegen, A., Shimoura, R. O., Vollenbröker, H., Senden, M., Hilgetag, C. C., Bakker, R., & van Albada, S. J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae409 · Cited by 26
Herrera, B., Sajad, A., Woodman, G. F., Schall, J. D., & Riera, J. J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0221-20.2020 · Cited by 20
In-silico EEG biomarkers of reduced inhibition in human cortical microcircuits in depression
Mazza, F., Guet-McCreight, A., Valiante, T. A., Griffiths, J. D., & Hay, E. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010986 · Cited by 25
Driessens, S. L. W., Galakhova, A. A., Heyer, D. B., Pieterse, I. J., Wilbers, R., Mertens, E. J., Waleboer, F., Heistek, T. S., Coenen, L., Meijer, J. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39946-9 · Cited by 22
Self-citationThe microtubule skeleton and the evolution of neuronal complexity in vertebrates
Trushina, N. I., Mulkidjanian, A. Y., & Brandt, R. (2019) · Biological Chemistry · doi:10.1515/hsz-2019-0149 · Cited by 21
Modelling acute and lasting effects of tDCS on epileptic activity
Denoyer, Y., Merlet, I., Wendling, F., & Benquet, P. (2020) · Journal of Computational Neuroscience · doi:10.1007/s10827-020-00745-6 · Cited by 25
Human in vitro systems for examining synaptic function and plasticity in the brain
Lee, K., Park, T., Heppner, P. A., Schweder, P. M., Mee, E. W., Dragunow, M., & Montgomery, J. M. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00411.2019 · Cited by 22
Cellular and Synaptic Diversity of Layer 2-3 Pyramidal Neurons in Human IndividualsPreprint
Planert, H., Mittermaier, F. X., Grosser, S., Fidzinski, P., Schneider, U. C., Radbruch, H., Onken, J., Holtkamp, M., Schmitz, D., Alle, H., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.08.467668 · Cited by 21
Mihaljević, B., Larrañaga, P., & Bielza, C. (2021) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2021.580873 · Cited by 17
Kroon, T., Dawitz, J., Kramvis, I., Anink, J. J., Obermayer, J., Verhoog, M. B., Wilbers, R., Goriounova, N. A., Idema, S., Baayen, J. C., et al. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00315 · Cited by 19
Self-citationRadler, M. R., Liu, X., Peng, M., Doyle, B., Toyo-Oka, K., & Spiliotis, E. T. (2023) · Current Biology · doi:10.1016/j.cub.2022.11.043 · Cited by 17
Drug targeting in psychiatric disorders — how to overcome the loss in translation?
Khodosevich, K., Dragičević, K., & Howes, O. D. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00847-7 · Cited by 17
Comprehensive analysis of human dendritic spine morphology and density
Schünemann, K. D., Hattingh, R. M., Verhoog, M. B., Yang, D., Bak, A., Peter, S., van Loo, K. M. J., Wolking, S., Kronenberg‐Versteeg, D., Weber, Y. G., et al. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00622.2024 · Cited by 19
Self-citationChameh, H. M., Falby, M. R., Movahed, M., Arbabi, K., Rich, S., Zhang, L., Lefebvre, J., Tripathy, S. J., Pittà, M. D., & Valiante, T. A. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1250834 · Cited by 15
Genomic, molecular, and cellular divergence of the human brain
Nehme, R., Pietiläinen, O. P. H., & Barrett, L. E. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.05.009 · Cited by 13
The use of human neurons for novel drug discovery in dementia research
Vargas‐Caballero, M., Willaime‐Morawek, S., Gómez‐Nicola, D., Perry, V. H., Bulters, D. O., & Mudher, A. K. (2016) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2016.1154528 · Cited by 15
Mihaljević, B., Larrañaga, P., Benavides‐Piccione, R., DeFelipe, J., & Bielza, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-73617-9 · Cited by 14
Planert, H., Mittermaier, F. X., Grosser, S., Fidzinski, P., Schneider, U. C., Radbruch, H., Onken, J., Holtkamp, M., Schmitz, D., Alle, H., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02134-7 · Cited by 43
Morphological Features of Human Dendritic Spines
Renner, J., & Rasia‐Filho, A. A. (2023) · Advances in neurobiology · doi:10.1007/978-3-031-36159-3_9 · Cited by 18
Zhang, Q., Zeng, Y., Zhang, T., & Yang, T. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.628839 · Cited by 12
Precise localizations of voltage‐gated sodium and potassium channels in neurons
Misonou, H. (2017) · Developmental Neurobiology · doi:10.1002/dneu.22565 · Cited by 13
Modelling brain-wide neuronal morphology via rooted Cayley trees
Lin, C., Huang, Y., Quan, T., & Zhang, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-34050-1 · Cited by 12
Roy, R., Shiina, N., & Wang, D. O. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107149 · Cited by 14
CD38 is Required for Dendritic Organization in Visual Cortex and Hippocampus
Nelissen, T. P., Bamford, R. A., Tochitani, S., Akkus, K., Kudzinskas, A., Yokoi, K., Okamoto, H., Yamamoto, Y., Burbach, J. P. H., Matsuzaki, H., et al. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.12.050 · Cited by 14
de Kock, C. P. J., & Feldmeyer, D. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1274383 · Cited by 13
Berryer, M. H., Rizki, G., Nathanson, A. J., Klein, J. A., Trendafilova, D., Susco, S. G., Lam, D., Messana, A., Holton, K. M., Karhohs, K. W., et al. (2023) · eLife · doi:10.7554/elife.80168 · Cited by 14
Guerra, K. T. K., Renner, J., Vásquez, C. E., & Rasia‐Filho, A. A. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25430 · Cited by 10
Cancino-Fuentes, N., Manasanch, A., Covelo, J., Suarez-Perez, A., Fernandez, E., Matsoukis, S., Guger, C., Illa, X., Guimerà‐Brunet, A., & Sanchez-Vives, M. V. (2023) · Nanoscale · doi:10.1039/d3nr03842d · Cited by 11
How neuronal morphology impacts the synchronisation state of neuronal networks
Gowers, R. P., & Schreiber, S. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011874 · Cited by 13
Boolean Computation in Single‐Transistor Neuron
Li, H., Hu, J., Zhang, Y., Chen, A., Lin, L., Ge, C., Chen, Y., Chai, J., He, Q., Wang, H., et al. (2024) · Advanced Materials · doi:10.1002/adma.202409040 · Cited by 11
A temporal cortex cell atlas highlights gene expression dynamics during human brain maturation
Steyn, C., Mishi, R. D., Fillmore, S., Verhoog, M. B., More, J., Rohlwink, U. K., Melvill, R., Butler, J. T., Enslin, N., Jacobs, M., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01990-6 · Cited by 13
Self-citationSpatiotemporal network dynamics and structural correlates in the human cerebral cortex in vitro
Covelo, J., Camassa, A., Sanchez‐Sanchez, J. M., Manasanch, A., Porta, L. D., Cancino-Fuentes, N., Barbero‐Castillo, A., Robles, R. M., Bosch, M., Tapia‐González, S., et al. (2025) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2025.102719 · Cited by 14
Vulnerability of Human Cerebellar Neurons to Degeneration in Ataxia-Causing Channelopathies
Bushart, D. D., & Shakkottai, V. G. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.908569 · Cited by 10
From cells to sensations: A window to the physics of mind
Vadakkan, K. I. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.10.002 · Cited by 10
The Tripod neuron: a minimal structural reduction of the dendritic tree
Quaresima, A., Fitz, H., Duarte, R., den Broek, D. V., Peter Hagoort, A., & Petersson, K. M. (2022) · The Journal of Physiology · doi:10.1113/jp283399 · Cited by 12
Banga, S., Kumar, V., Suri, S., Kaushal, M., Prasad, R., & Kaur, S. (2020) · Journal of the American College of Nutrition · doi:10.1080/07315724.2019.1642811 · Cited by 10
Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
Fernández-González, P., Benavides‐Piccione, R., Leguey, I., Bielza, C., Larrañaga, P., & DeFelipe, J. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1311-0 · Cited by 10
Of mice and men: Dendritic architecture differentiates human from mice neuronal networksPreprint
Kanari, L., Shi, Y., Arnaudon, A., Barros-Zulaica, N., Benavides‐Piccione, R., Coggan, J. S., DeFelipe, J., Hess, K. P., Mansvelder, H. D., Mertens, E. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.11.557170 · Cited by 10
Self-citationBusch, S. E., & Hansel, C. (2025) · eLife · doi:10.7554/elife.105013 · Cited by 10
Cellular computation and cognition
Fitch, W. T. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1107876 · Cited by 10
Adaptive rewiring: a general principle for neural network development
Li, J., Bauer, R., Rentzeperis, I., & van Leeuwen, C. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2024.1410092 · Cited by 10
Spine loss in depression impairs dendritic signal integration in human cortical microcircuit models
Yao, H. K., Mazza, F., Prévot, T. D., Sibille, E. L., & Hay, E. (2025) · iScience · doi:10.1016/j.isci.2025.112136 · Cited by 12
Neuroanatomical and psychological considerations in temporal lobe epilepsy
DeFelipe, J., Oroquieta, J. D. F., Furcila, D., Muñoz-Alegre, M., Maestú, F., de Sola, R. G., Blázquez‐Llorca, L., Armañanzas, R., Kastanauskaite, A., Alonso‐Nanclares, L., et al. (2022) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2022.995286 · Cited by 9
A biologically inspired computational model of human ventral temporal cortex
Zhang, Y., Zhou, K., Bao, P., & Liu, J. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106437 · Cited by 13
Cho, E. H., Kwon, J., Lee, G., Shin, J., Lee, H., Lee, S., Chung, C. K., Yoon, J., & Ho, W. (2024) · Nature Communications · doi:10.1038/s41467-024-51065-7 · Cited by 8
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
Arora, K., Zulfiqar, I., Schultheiss, H., Martino, F. D., Gulban, O. F., Lage‐Castellanos, A., & Moerel, M. (2021) · Journal of Computational Neuroscience · doi:10.1007/s10827-021-00801-9 · Cited by 9
It may be time to improve the neuron of artificial neural networkPreprint
Liu, G. (2021) · doi:10.36227/techrxiv.12477266.v10 · Cited by 9
Shematorova, E. K., & Shpakovski, G. V. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218055 · Cited by 8
Introduction: What Are Dendritic Spines?
Rasia‐Filho, A. A., Calcagnotto, M. E., & Halbach, O. V. B. U. (2023) · Advances in neurobiology · doi:10.1007/978-3-031-36159-3_1 · Cited by 10
Neuronal Activity During the Sleep-Wake Cycle
Timofeev, I., & Chauvette, S. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-813743-7.00001-3 · Cited by 9
A hominoid-specific signaling axis regulating the tempo of synaptic maturation
Dong, J., Zhu, X.-N., Zeng, P.-M., Cao, D.-D., Yang, Y., Hu, J., & Luo, Z. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114548 · Cited by 7
Beuter, A. C. (2017) · Alternatives to Laboratory Animals · doi:10.1177/026119291704500203 · Cited by 7
Principles governing the topological organization of object selectivities in ventral temporal cortexPreprint
Zhang, Y., Zhou, K., Bao, P., & Jia Liu, B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.15.460220 · Cited by 7
Accelerated signal propagation speed in human neocortical dendritesPreprint
Oláh, G., Lákovics, R., Shapira, S., Leibner, Y., Szűcs, A. L., Csajbók, É., Barzó, P., Molnár, G., Segev, I., & Tamás, G. (2024) · eLife · doi:10.7554/elife.93781 · Cited by 10
Self-citationArulpragasam, A. R., Theyel, B. B., Barredo, J., Pouille, F., Gillotti, J. G., Greenberg, B. D., Wout‐Frank, M. V. ‘., & Philip, N. S. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.02.019 · Cited by 9
DeFelipe, J., Douglas, R. J., Hill, S., Lein, E. S., Martin, K. A. C., Rockland, K. S., Segev, I., Shepherd, G. M., & Tamás, G. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00060 · Cited by 6
Self-citationNeuropil Variation in the Prefrontal, Motor, and Visual Cortex of Six Felids
Nelson, J., Woeste, E. M., Oba, K., Bitterman, K., Billings, B. K., Sacco, J., Jacobs, B., Sherwood, C. C., Manger, P. R., & Spocter, M. A. (2024) · Brain Behavior and Evolution · doi:10.1159/000537843 · Cited by 6
Khalil, R., Farhat, A., & Dłotko, P. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.667696 · Cited by 4
Lindhout, F. W., Szafranska, H. M., Gulglielmi, L., Imaz-Rosshandler, I., Boulanger, J., Moarefian, M., Voitiuk, K., Zernicka-Glover, N. K., Schulze, U., Minnick, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.28.630576 · Cited by 6
The Placental Steroid Hypothesis of Human Brain Evolution
Tsompanidis, A., Burton, G. J., Baron‐Cohen, S., & Dunbar, R. (2025) · Evolutionary Anthropology Issues News and Reviews · doi:10.1002/evan.70003 · Cited by 4
Tenreiro, M. F., & Muotri, A. R. (2026) · Developmental Cell · doi:10.1016/j.devcel.2026.02.018 · Cited by 6
Rasia‐Filho, A. A. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.831568 · Cited by 5
Transcriptome analysis in an AEG‑1‑deficient neuronal HT22 cell line
Liu, K., Wan, P., Huang, Y., Wang, B., Wang, X., Zhang, R., & Guo, L. (2022) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2022.11607 · Cited by 5
Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico
Rosanally, S., Mazza, F., Yao, H. K., Moghbel, F., Seo, H., & Hay, E. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014304 · Cited by 5
Characterizing the Diversity of Layer 2/3 Human Neocortical Neurons in Pediatric Epilepsy
Kushner, J. K., Hoffman, P. B., Brzezinski, C. R., Svalina, M. N., O’Neill, B. R., Hankinson, T. C., Wilkinson, C. C., Handler, M. H., Baca, S. M., Huntsman, M. M., et al. (2025) · eNeuro · doi:10.1523/eneuro.0247-24.2025 · Cited by 5
Accelerated signal propagation speed in human neocortical dendrites
Oláh, G., Lákovics, R., Shapira, S., Leibner, Y., Szűcs, A. L., Csajbók, É., Barzó, P., Molnár, G., Segev, I., & Tamás, G. (2025) · eLife · doi:10.1101/2022.09.30.510270 · Cited by 4
Self-citationSpatially heterogeneous inhibition projects sequential activity onto unique neural subspacesPreprint
Lehr, A. B., Kumar, A., & Tetzlaff, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.15.557865 · Cited by 5
Accelerated signal propagation speed in human neocortical microcircuitsPreprint
Oláh, G., Lákovics, R., Shapira, S., Leibner, Y., Szűcs, A. L., Csajbók, É., Barzó, P., Molnár, G., Segev, I., & Tamás, G. (2024) · eLife · doi:10.7554/elife.93781.1 · Cited by 5
Self-citationA Novel Phosphorylated Tau Conformer Implicated in the Tauopathy Pathogenesis of Human Neurons
Tofigh, N., Agahi, S., Riazi, G. H., Pakdaman, H., Moazzam, M. G., & Shahpasand, K. (2025) · Biomolecules · doi:10.3390/biom15040585 · Cited by 4
What makes the human brain special: from cellular function to clinical translation
van Loo, K. M. J., Bak, A., Hodge, R. D., Bedogni, F., Ramirez, J. S. B., Emerson, S., Höllig, A., Mansvelder, H. D., Goriounova, N. A., Ramirez, J., et al. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00120.2025 · Cited by 4
Self-citationHeyer, D. B., Wilbers, R., Galakhova, A. A., Hartsema, E. A., Braak, S., Hunt, S., Verhoog, M. B., Muijtjens, M. L., Mertens, E. J., Idema, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.07.430103 · Cited by 4
Self-citationIt may be time to improve the neuron of artificial neural networkPreprint
Liu, G. (2020) · doi:10.36227/techrxiv.12477266 · Cited by 4
It may be time to improve the neuron of artificial neural networkPreprint
Liu, G. (2020) · doi:10.36227/techrxiv.12477266.v6 · Cited by 4
Kälvälä, S., Abushik, P. A., Dougalis, A., Malm, T., Pelkonen, A., & Lehtonen, Š. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.10.561672 · Cited by 4
Heterochronous laminar myelination in the human prefrontal cortexPreprint
Sydnor, V. J., Petrie, D. J., McKeon, S. D., Famalette, A., Foran, W., Calabro, F. J., & Luna, B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.30.635751 · Cited by 8
Busch, S. E., & Hansel, C. (2025) · eLife · doi:10.7554/elife.105013.3 · Cited by 3
Ciobanu, A. C., Caseiro, D. M., Niu, R., Rio, R. T. D., Leroux, C., Stefanelli, A., Nakandakare, C. F., Pralong, É., Daniel, R. T., Lütjens, R., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03202-x · Cited by 3
Zaongo, S. D., Harypursat, V., Rashid, F., Dahourou, D. L., Ouédraogo, A., & Chen, Y. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1261784 · Cited by 3
Human-specific genetic modifiers of cortical architecture and function
Zhao, H., & Schmidt, E. R. E. (2024) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2024.102241 · Cited by 3
Inibhunu, H., Chameh, H. M., Skinner, F. K., Rich, S., & Valiante, T. A. (2023) · eNeuro · doi:10.1523/eneuro.0215-23.2023 · Cited by 3
Variation and convergence in the morpho-functional properties of the mammalian neocortex
Mahon, S. (2024) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2024.1413780 · Cited by 3
Ultrastructural membrane dynamics of mouse and human cortical synapses
Eddings, C. R., Fan, M., Imoto, Y., Itoh, K., McDonald, X., Eilers, J., Anderson, W. S., Worley, P. F., Lippmann, K., Nauen, D. W., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.10.030 · Cited by 3
Cellular substrates of functional network integration and memory in temporal lobe epilepsyPreprint
Douw, L., Nissen, I. A., Fitzsimmons, S., Santos, F. A. N., Hillebrand, A., van Straaten, E. C. W., Stam, C. J., Hamer, P. C. D. W., Baayen, J. C., Klein, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.31.428369 · Cited by 3
Self-citationEEG biomarkers of reduced inhibition in human cortical microcircuits in depressionPreprint
Mazza, F., Valiante, T. A., Griffiths, J. D., & Hay, E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.18.452836 · Cited by 3
A model for cortical activity sequencesPreprint
Lehr, A. B., Erzmann, F., Michaelis, C., Nowak, J., Gail, A., Kumar, A., & Tetzlaff, C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.25.581959 · Cited by 3
What makes human cortical pyramidal neurons functionally complexPreprint
Aizenbud, I., Yoeli, D., Beniaguev, D., de Kock, C. P. J., London, M., & Segev, I. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.17.628883 · Cited by 3
Self-citationHuman Neocortical Glutamatergic Neurons Revealed Through Multimodal ProfilingPreprint
Dalley, R. A., Walling-Bell, S., Miller, J. A., Waleboer, F., Thijssen, J., McCutcheon, A., Gelfand, E. C., Mallory, M., Radaelli, C., Liu, X.-P., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.08.698257 · Cited by 6
Nazac, P., Xu, S. Y., Breton, V., Boulet, D., & Danglot, L. (2025) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2025.1630133 · Cited by 2
McGill, S. H., Xin, Q., Yadav, T., Zhao, C. W., Paszkowski, P., Darby, F., Guha, M., Nguyen, T., Jin, D. S., Nir, Y., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0334293 · Cited by 2
A method for quantifying parallel growth between neuronal dendritic branches in vitro
Dahari, I., Weiss, O. E., Ayubi, A., Baranes, D., & Minnes, R. (2025) · PLoS ONE · doi:10.1371/journal.pone.0335919 · Cited by 2
Kyyriäinen, J., Pietra, A. D., Torkamani‐Azar, M., Gómez‐Budia, M., Abushik, P. A., Novosolova, N., Eronen, H., Narvaez, O., Paasonen, E., Lezhnyova, V., et al. (2025) · Epilepsia Open · doi:10.1002/epi4.70174 · Cited by 2
Márquez, L. A., Martínez-Aguirre, C., Gutiérrez-Castañeda, E., Griego, E., Sollozo-Dupont, I., López-Preza, F. I., Alonso‐Vanegas, M., Rocha, L. L., & Galván, E. J. (2026) · PLoS ONE · doi:10.1371/journal.pone.0320711 · Cited by 3
Competition effects regulating the composition of the microRNA pool
Raak, S. B., Hanley, J. G., & O’Donnell, C. (2025) · Journal of The Royal Society Interface · doi:10.1098/rsif.2024.0870 · Cited by 1
Schwab, B. C. (2025) · Physics of Life Reviews · doi:10.1016/j.plrev.2025.06.004 · Cited by 2
Old Principles – New Methods in the Volatile Oils Approach
Tofană, M., Socaci, S., Mudura, E., Truta, D. M., & MICHIU, D. (2010) · Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture · doi:10.15835/buasvmcn-agr:5171 · Cited by 2
Mihaljević, B., Larrañaga, P., & Bielza, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.02.130252 · Cited by 2
High Synaptic Threshold for NMDA Spike Generation in Human Layer 2/3 Pyramidal NeuronsPreprint
Testa-Silva, G., Rosier, M., Honnuraiah, S., Guzulaitis, R., Megias, A. M., French, C. R., King, J., Drummond, K. J., Palmer, L. M., & Stuart, G. J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4072039 · Cited by 2
Self-citationIt may be time to improve the neuron of artificial neural networkPreprint
Liu, G. (2020) · doi:10.36227/techrxiv.12477266.v8 · Cited by 2
It may be time to perfect the neuron of artificial neural networkPreprint
Liu, G. (2020) · doi:10.36227/techrxiv.12477266.v2 · Cited by 2
Characterizing the diversity of L2/3 human neocortical neurons in epilepsyPreprint
Kushner, J. K., Hoffman, P. B., Brzezinski, C. R., Huntsman, M. M., & Alexander, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.13.495678 · Cited by 2
Metadata
- Authors
- Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R., Lodder, B. N., Goriounova, N. A., Asamoah, B., B. Brakspear, A. B. C., Groot, C., van der Sluis, S., Testa-Silva, G., Obermayer, J., Boudewijns, Z. S. R. M., Narayanan, R. T., Baayen, J. C., Segev, I., Mansvelder, H. D., & de Kock, C. P. J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Hebrew University of Jerusalem (IL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-08-28
- Volume
- 25
- Issue
- 12
- Pages
- 4839-4853
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4635923
- OpenAlex
- W1938051493
- Cited by
- 280
- References
- 77
- Citations by year
- 2026: 26 · 2025: 42 · 2024: 34 · 2023: 28 · 2022: 30 · 2021: 28 · 2020: 29 · 2019: 23 · 2018: 21 · 2017: 9 · 2016: 9
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Pure Amsterdam UMC (acceptedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Netherlands Scientific Organization (VIDI-452-12-014)
- Hersenstichting Nederland (2010(1)-09)
- Center for Neurogenomics and Cognitive Research
- Neuroscience Campus Amsterdam
- VU University Amsterdam
- Human Brain Project
- Netherlands Organization for Scientific Research (917.76.360, 912.06.148, 604102)
- 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
- human neocortex, pyramidal neurons, dendritic morphology, axon morphology, cortical layers, temporal cortex, dendritic length, dendritic branching, passive electrical properties, signal attenuation, cross-species comparison
- MeSH terms
- Adult, Aged, Animals, Axons, Dendrites, Epilepsy, Female, Humans, Macaca fascicularis, Macaca mulatta, Male, Mice, Inbred C57BL, Middle Aged, Species Specificity, Temporal Lobe, Cluster Analysis, Pyramidal Cells, Neocortex, Mice, Young Adult
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
