Enhanced Dendritic Compartmentalization in Human Cortical Neurons
Open accessAbstract
The biophysical features of neurons shape information processing in the brain. Cortical neurons are larger in humans than in other species, but it is unclear how their size affects synaptic integration. Here, we perform direct electrical recordings from human dendrites and report enhanced electrical compartmentalization in layer 5 pyramidal neurons. Compared to rat dendrites, distal human dendrites provide limited excitation to the soma, even in the presence of dendritic spikes. Human somas also exhibit less bursting due to reduced recruitment of dendritic electrogenesis. Finally, we find that decreased ion channel densities result in higher input resistance and underlie the lower coupling of human dendrites. We conclude that the increased length of human neurons alters their input-output properties, which will impact cortical computation. VIDEO ABSTRACT.
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
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?
By 10 MPT, the neurons displayed sustained firing and mature-looking APs that closely resemble those of mature human pyramidal neurons.
“By 10 MPT, the neurons displayed sustained firing and mature-looking APs that closely resemble those of mature human pyramidal neurons”
From Xenotransplanted human cortical neurons reveal species-specific development and functional integration into mouse visual circuits (2019) · cites this paper as Beaulieu-Laroche et al., 2018
The Results section (‘Reduced burst firing in human neurons’; page unavailable) reports action-potential recordings from human layer 5 pyramidal neurons, supporting their use as a reference for human firing properties. It does not study neurons at 10 MPT or establish that those neurons sustained firing or closely resembled the recorded human neurons. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTransplanted human neurons integrating the mouse cortex display protracted physiological maturation over months, until 11 MPT, at which stage their properties resemble those of adult cortical neurons.
“Thus, transplanted human neurons integrating the mouse cortex display protracted physiological maturation over months, until 11 MPT, at which stage their properties resemble those of adult cortical neurons”
From Xenotransplanted human cortical neurons reveal species-specific development and functional integration into mouse visual circuits (2019) · cites this paper as Beaulieu-Laroche et al., 2018
The STAR Methods (Experimental Model and Subject Details; no page given) describe human tissue from adult neurosurgical patients and experiments using rats. The Discussion describes differences between human and rat neurons ex vivo. Searches for transplantation, mouse cortex, and 11 months post-transplantation found no passage addressing the claimed maturation timeline. (LLM, conf=0.76)
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.
Cites
Pyramidal neurons: dendritic structure and synaptic integration
Spruston, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2286 · Cited by 1,688 · see citing works
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 · see citing works
London, M., & Häusser, M. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135703 · Cited by 1,149 · see citing works
The subcellular organization of neocortical excitatory connections
Petreanu, L., Mao, T., Sternson, S. M., & Svoboda, K. (2009) · Nature · doi:10.1038/nature07709 · Cited by 1,047 · see citing works
Electrophysiological properties of neocortical neurons in vitro.
Connors, B. W., Gutnick, M., & Prince, D. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.6.1302 · Cited by 954 · see citing works
Carnevale, N. T., & Hines, M. L. (2006) · Cited by 885 · see citing works
Computational subunits in thin dendrites of pyramidal cells
Polsky, A., Mel, B. W., & Schiller, J. (2004) · Nature Neuroscience · doi:10.1038/nn1253 · Cited by 817 · see citing works
Pyramidal Neuron as Two-Layer Neural Network
Poirazi, P., Brannon, T., & Mel, B. W. (2003) · Neuron · doi:10.1016/s0896-6273(03)00149-1 · Cited by 792 · see citing works
Dendritic integration of excitatory synaptic input
Magee, J. C. (2000) · Nature reviews. Neuroscience · doi:10.1038/35044552 · Cited by 737 · see citing works
NMDA spikes in basal dendrites of cortical pyramidal neurons
Schiller, J., Major, G., Koester, H., & Schiller, Y. (2000) · Nature · doi:10.1038/35005094 · Cited by 735 · see citing works
Microstructure of the neocortex: comparative aspects
DeFelipe, J., Alonso-Nanclares, L., & Arellano, J. I. (2002) · Journal of Neurocytology · doi:10.1023/a:1024130211265 · Cited by 686 · see citing works
Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle
Larkum, M. E., Nevian, T., Sandler, M., Polsky, A., & Schiller, J. (2009) · Science · doi:10.1126/science.1171958 · Cited by 677 · see citing works
Nonlinear dendritic integration of sensory and motor input during an active sensing task
Xu, N.-L., Harnett, M. T., Williams, S. R., Huber, D., O’Connor, D. H., Svoboda, K., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11601 · Cited by 548 · see citing works
Self-citationDeterminants of Voltage Attenuation in Neocortical Pyramidal Neuron Dendrites
Stuart, G. J., & Spruston, N. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03501.1998 · Cited by 527 · see citing works
The Evolution of the Brain, the Human Nature of Cortical Circuits, and Intellectual Creativity
DeFelipe, J. (2011) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2011.00029 · Cited by 527 · see citing works
Calcium action potentials restricted to distal apical dendrites of rat neocortical pyramidal neurons
Schiller, J., Schiller, Y., Stuart, G. J., & Sakmann, B. J. (1997) · The Journal of Physiology · doi:10.1111/j.1469-7793.1997.605ba.x · Cited by 519 · see citing works
Branch-specific dendritic Ca2+ spikes cause persistent synaptic plasticity
Cichon, J., & Gan, W. (2015) · Nature · doi:10.1038/nature14251 · Cited by 509 · see citing works
Growth and folding of the mammalian cerebral cortex: from molecules to malformations
Sun, T., & Hevner, R. F. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3707 · Cited by 471 · see citing works
Direct Measurement of Specific Membrane Capacitance in Neurons
Gentet, L. J., Stuart, G. J., & Clements, J. D. (2000) · Biophysical Journal · doi:10.1016/s0006-3495(00)76293-x · Cited by 457 · see citing works
Active properties of neocortical pyramidal neuron dendrites
Major, G., Larkum, M. E., & Schiller, J. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150343 · Cited by 443 · see citing works
Zeng, H., Shen, E. H., Hohmann, J. G., Oh, S. W., Bernard, A., Royall, J. J., Glattfelder, K. J., Sunkin, S. M., Morris, J. A., Guillozet-Bongaarts, A. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.052 · Cited by 426 · see citing works
Larkum, M. E., Zhu, J., & Sakmann, B. J. (2001) · The Journal of Physiology · doi:10.1111/j.1469-7793.2001.0447a.x · Cited by 419 · see citing works
Active cortical dendrites modulate perception
Takahashi, N., Oertner, T. G., Hegemann, P., & Larkum, M. E. (2016) · Science · doi:10.1126/science.aah6066 · Cited by 419 · see citing works
Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo
Smith, S. L., Smith, I. T., Branco, T., & Häusser, M. (2013) · Nature · doi:10.1038/nature12600 · Cited by 415 · see citing works
Häusser, M., & Mel, B. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00075-8 · Cited by 392 · see citing works
Dependence of EPSP Efficacy on Synapse Location in Neocortical Pyramidal Neurons
Williams, S. R., & Stuart, G. J. (2002) · Science · doi:10.1126/science.1067903 · Cited by 378 · see citing works
Towards deep learning with segregated dendrites
Guerguiev, J., Lillicrap, T., & Richards, B. A. (2017) · eLife · doi:10.7554/elife.22901 · Cited by 373 · see citing works
Spruston, N., Jaffe, D. B., Williams, S. H., & Johnston, D. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.2.781 · Cited by 362 · see citing works
Direct measurement of somatic voltage clamp errors in central neurons
Williams, S. R., & Mitchell, S. J. (2008) · Nature Neuroscience · doi:10.1038/nn.2137 · Cited by 352 · see citing works
Site Independence of EPSP Time Course Is Mediated by DendriticI h in Neocortical Pyramidal Neurons
Williams, S. R., & Stuart, G. J. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.5.3177 · Cited by 349 · see citing works
Hattox, A. M., & Nelson, S. B. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00397.2007 · Cited by 344 · see citing works
Hay, E., Hill, S., Schürmann, F., Markram, H., & Segev, I. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002107 · Cited by 336 · see citing works
Three Types of Cortical Layer 5 Neurons That Differ in Brain-wide Connectivity and Function
Kim, E. J., Juavinett, A. L., Kyubwa, E. M., Jacobs, M. W., & Callaway, E. M. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.002 · Cited by 323 · see citing works
The pyramidal cell in cognition: a comparative study in human and monkey
Elston, G. N., Benavides-Piccione, R., & DeFelipe, J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-17-j0002.2001 · Cited by 317 · see citing works
Mechanisms and consequences of action potential burst firing in rat neocortical pyramidal neurons
Williams, S. R., & Stuart, G. J. (1999) · The Journal of Physiology · doi:10.1111/j.1469-7793.1999.00467.x · Cited by 298 · see citing works
Synaptic amplification by dendritic spines enhances input cooperativity
Harnett, M. T., Makara, J. K., Spruston, N., Kath, W. L., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11554 · Cited by 288 · see citing works
Self-citationCortical folding scales universally with surface area and thickness, not number of neurons
Mota, B., & Herculano‐Houzel, S. (2015) · Science · doi:10.1126/science.aaa9101 · Cited by 286 · see citing works
Projection-Specific Neuromodulation of Medial Prefrontal Cortex Neurons
Dembrow, N. C., Chitwood, R. A., & Johnston, D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3644-10.2010 · Cited by 281 · see citing works
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., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv188 · Cited by 280 · see citing works
Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo
Lavzin, M., Rapoport, S., Poleg-Polsky, A., Garion, L., & Schiller, J. (2012) · Nature · doi:10.1038/nature11451 · Cited by 261 · see citing works
Larkum, M. E., & Zhu, J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-16-06991.2002 · Cited by 249 · see citing works
Kole, M. H. P., Hallermann, S., & Stuart, G. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3664-05.2006 · Cited by 247 · see citing works
Unique membrane properties and enhanced signal processing in human neocortical neurons
Eyal, G., Verhoog, M. B., Testa-Silva, G., Deitcher, Y., Lodder, J. C., Benavides-Piccione, R., Morales, J., DeFelipe, J., de Kock, C. P., Mansvelder, H. D., et al. (2016) · eLife · doi:10.7554/elife.16553 · Cited by 196 · see citing works
Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron
Ramaswamy, S., & Markram, H. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00233 · Cited by 186 · see citing works
Contribution of sublinear and supralinear dendritic integration to neuronal computations
Tran-Van-Minh, A., Cazé, R. D., Abrahamsson, T., Cathala, L., Gutkin, B. S., & DiGregorio, D. A. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00067 · Cited by 166 · see citing works
Temporal synchrony and gamma-to-theta power conversion in the dendrites of CA1 pyramidal neurons
Vaidya, S. P., & Johnston, D. (2013) · Nature Neuroscience · doi:10.1038/nn.3562 · Cited by 158 · see citing works
Harnett, M. T., Magee, J. C., & Williams, S. R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2813-14.2015 · Cited by 148 · see citing works
Self-citationHarnett, M. T., Xu, N.-L., Magee, J., & Williams, S. R. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.005 · Cited by 134 · see citing works
Self-citationShai, A. S., Anastassiou, C. A., Larkum, M. E., & Christof Koch, A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004090 · Cited by 130 · see citing works
Mechanisms Underlying the Rules for Associative Plasticity at Adult Human Neocortical Synapses
Verhoog, M. B., Goriounova, N. A., Obermayer, J., Stroeder, J., Hjorth, J. J. J., Testa-Silva, G., Baayen, J. C., de Kock, C. P. J., Meredith, R. M., & Mansvelder, H. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3158-13.2013 · Cited by 127 · see citing works
Spatial compartmentalization and functional impact of conductance in pyramidal neurons
Williams, S. R. (2004) · Nature Neuroscience · doi:10.1038/nn1305 · Cited by 126 · see citing works
de Kock, C. P. J., & Sakmann, B. J. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.155580 · Cited by 107 · see citing works
Jadi, M. P., Behabadi, B. F., Poleg-Polsky, A., Schiller, J., & Mel, B. W. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2312671 · Cited by 94 · see citing works
Dendritic Spines Prevent Synaptic Voltage Clamp
Beaulieu-Laroche, L., & Harnett, M. T. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.016 · Cited by 79 · see citing works
Self-citationActive dendritic integration as a mechanism for robust and precise grid cell firing
Schmidt‐Hieber, C., Toleikyte, G., Aitchison, L., Roth, A., Clark, B. A., Branco, T., & Häusser, M. (2017) · Nature Neuroscience · doi:10.1038/nn.4582 · Cited by 78 · see citing works
Dembrow, N. C., Zemelman, B. V., & Johnston, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4673-14.2015 · Cited by 75 · see citing works
Postnatal Development of Dendritic Synaptic Integration in Rat Neocortical Pyramidal Neurons
Atkinson, S. E., & Williams, S. R. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00083.2009 · Cited by 70 · see citing works
Differential Dendritic Integration of Synaptic Potentials and Calcium in Cerebellar Interneurons
Tran-Van-Minh, A., Abrahamsson, T., Cathala, L., & DiGregorio, D. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.029 · Cited by 61 · see citing works
Superficial slow rhythms integrate cortical processing in humans
Halgren, M., Fabó, D., Ulbert, I., Madsen, J. R., Erőss, L., Doyle, W. K., Devinsky, O., Schomer, D., Cash, S. S., & Halgren, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-20662-0 · Cited by 59 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Dendritic action potentials and computation in human layer 2/3 cortical neurons
Gidon, A., Zolnik, T. A., Fidzinski, P., Bolduan, F., Papoutsi, A., Poirazi, P., Holtkamp, M., Vida, I., & Larkum, M. E. (2020) · Science · doi:10.1126/science.aax6239 · Cited by 572 · see citing works
In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Kagan, B. J., Kitchen, A. C., Tran, N. T., Habibollahi, F., Khajehnejad, M., Parker, B. J., Bhat, A., Rollo, B., Razi, A., & Friston, K. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.001 · Cited by 400 · see citing works
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 303 · see citing works
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
Paulk, A. C., Kfir, Y., Khanna, A. R., Mustroph, M. L., Trautmann, E. M., Soper, D. J., Stavisky, S. D., Welkenhuysen, M., Dutta, B., Shenoy, K. V., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00997-0 · Cited by 283 · see citing works
Self-citationHuman neocortical expansion involves glutamatergic neuron diversification
Berg, J., Sorensen, S. A., Ting, J. T., Miller, J. A., Chartrand, T., Buchin, A., Bakken, T. E., Budzillo, A., Dee, N., Ding, S.-L., et al. (2021) · Nature · doi:10.1038/s41586-021-03813-8 · Cited by 285 · see citing works
Johnson, L. A., Alekseichuk, I., Krieg, J. D. S., Doyle, A. M., Yu, Y., Vitek, J. L., Johnson, M. D., & Opitz, A. (2020) · Science Advances · doi:10.1126/sciadv.aaz2747 · Cited by 230 · see citing works
Human brain organogenesis: Toward a cellular understanding of development and disease
Kelley, K. W., & Pașca, S. P. (2021) · Cell · doi:10.1016/j.cell.2021.10.003 · Cited by 233 · see citing works
Linaro, D., Vermaercke, B., Iwata, R., Ramaswamy, A., Davis, B. A., Boubakar, L., Libé-Philippot, B., Bilheu, A., Bruyne, L. D., Gall, D., et al. (2019) · doi:10.1101/626218 · Cited by 210 · see citing works
Symbols and mental programs: a hypothesis about human singularity
Dehaene, S., Roumi, F. A., Lakretz, Y., Planton, S., & Sablé-Meyer, M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.06.010 · Cited by 195 · see citing works
Coupling the State and Contents of Consciousness
Aru, J., Suzuki, M., Rutiku, R., Larkum, M. E., & Bachmann, T. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00043 · Cited by 164 · see citing works
Developmental mechanisms underlying the evolution of human cortical circuits
Vanderhaeghen, P., & Polleux, F. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00675-z · Cited by 173 · see citing works
3D bioprinting of human neural tissues with functional connectivity
Yan, Y., Li, X., Gao, Y., Mathivanan, S., Kong, L., Tao, Y., Dong, Y. W., Li, X., Bhattacharyya, A., Zhao, X., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2023.12.009 · Cited by 144 · see citing works
Allometric rules for mammalian cortical layer 5 neuron biophysics
Beaulieu-Laroche, L., Brown, N. J., Hansen, M., Toloza, E. H. S., Sharma, J., Williams, Z. M., Frosch, M. P., Cosgrove, G. R., Cash, S. S., & Harnett, M. T. (2021) · Nature · doi:10.1038/s41586-021-04072-3 · Cited by 132 · see citing works
Self-citationGenes, Cells and Brain Areas of Intelligence
Goriounova, N. A., & Mansvelder, H. D. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00044 · Cited by 141 · see citing works
Transplantation of Human Brain Organoids: Revisiting the Science and Ethics of Brain Chimeras
Chen, H. I., Wolf, J. A., Blue, R., Song, M. M., Moreno, J. D., Ming, G., & Song, H. (2019) · Cell stem cell · doi:10.1016/j.stem.2019.09.002 · Cited by 124 · see citing works
Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease
Lee, Y. F., Gerashchenko, D., Timofeev, I., Bacskai, B. J., & Kastanenka, K. V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00705 · Cited by 119 · see citing works
Evolution of cortical neurons supporting human cognition
Galakhova, A. A., Hunt, S., Wilbers, R., Heyer, D. B., de Kock, C. P. J., Mansvelder, H. D., & Goriounova, N. A. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.08.012 · Cited by 119 · see citing works
Differential Structure of Hippocampal CA1 Pyramidal Neurons in the Human and Mouse
Benavides‐Piccione, R., Regalado-Reyes, M., Fernaud-Espinosa, I., Kastanauskaite, A., Tapia‐González, S., León‐Espinosa, G., Rojo, C., Insausti, R., Segev, I., & DeFelipe, J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz122 · Cited by 111 · see citing works
Chameh, H. M., Rich, S., Wang, L., Chen, F., Zhang, L., Carlen, P. L., Tripathy, S. J., & Valiante, T. A. (2021) · Nature Communications · doi:10.1038/s41467-021-22741-9 · Cited by 110 · see citing works
Advances in microfluidic in vitro systems for neurological disease modeling
Holloway, P. M., Willaime‐Morawek, S., Siow, R. C. M., Barber, M., Owens, R. M., Sharma, A. D., Rowan, W. C., Hill, E. J., & Zagnoni, M. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24794 · Cited by 101 · see citing works
Kalmbach, B. E., Hodge, R. D., Jorstad, N. L., Owen, S. F., de Frates, R. A., Yanny, A. M., Dalley, R. A., Mallory, M., Graybuck, L. T., Radaelli, C., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.030 · Cited by 104 · see citing works
Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons
Beaulieu-Laroche, L., Toloza, E. H. S., Brown, N. J., & Harnett, M. T. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.014 · Cited by 103 · see citing works
Self-citationMagnetoelectric nanodiscs enable wireless transgene-free neuromodulation
Kim, Y. J., Kent, N., Paniagua, E. V., Driscoll, N., Tabet, A., Koehler, F., Malkin, E., Frey, E. J., Manthey, M., Sahasrabudhe, A., et al. (2024) · Nature Nanotechnology · doi:10.1038/s41565-024-01798-9 · Cited by 102 · see citing works
Hodge, R. D., Miller, J. A., Novotny, M. A., Kalmbach, B. E., Ting, J. T., Bakken, T. E., Aevermann, B. D., Barkan, E. R., Berkowitz-Cerasano, M. L., Cobbs, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14952-3 · Cited by 92 · see citing works
Spatio-temporal properties of sleep slow waves and implications for development
Timofeev, I., Schoch, S. F., LeBourgeois, M. K., Huber, R., Riedner, B. A., & Kurth, S. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.01.007 · Cited by 83 · see citing works
Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex
Hunt, S., Leibner, Y., Mertens, E. J., Barros-Zulaica, N., Kanari, L., Heistek, T. S., Karnani, M., Aardse, R., Wilbers, R., Heyer, D. B., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac246 · Cited by 82 · see citing works
The Guide to Dendritic Spikes of the Mammalian Cortex In Vitro and In Vivo
Larkum, M. E., Wu, J., Duverdin, S., & Gidon, A. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.02.009 · Cited by 81 · see citing works
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural NetworksPreprint
Chen, G., Chen, P., Shi, Y., Hsieh, C., Liao, B., & Zhang, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.05928 · Cited by 83 · see citing works
Cellular and Molecular Mechanisms Linking Human Cortical Development and Evolution
Libé-Philippot, B., & Vanderhaeghen, P. (2021) · Annual Review of Genetics · doi:10.1146/annurev-genet-071719-020705 · Cited by 78 · see citing works
Gurney, M. E., Nugent, R. A., Mo, X., Sindac, J. A., Hagen, T. J., Fox, D. N. A., O’Donnell, J. M., Zhang, C., Xu, Y., Zhang, H., et al. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.9b00193 · Cited by 78 · see citing works
A Tradeoff in the Neural Code across Regions and Species
Pryluk, R., Kfir, Y., Gelbard-Sagiv, H., Fried, I., & Paz, R. (2019) · Cell · doi:10.1016/j.cell.2018.12.032 · Cited by 72 · see citing works
Evolution of the Chordate Telencephalon
Briscoe, S. D., & Ragsdale, C. W. (2019) · Current Biology · doi:10.1016/j.cub.2019.05.026 · Cited by 75 · see citing works
Neuronal sub‐compartmentalization: a strategy to optimize neuronal function
Donato, A., Kagias, K., Zhang, Y., & Hilliard, M. A. (2019) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12487 · Cited by 72 · see citing works
Classes of dendritic information processing
Payeur, A., Béïque, J.-C., & Naud, R. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.07.006 · Cited by 75 · see citing works
Rigor and reproducibility in human brain organoid research: Where we are and where we need to go
Sandoval, S. O., Cappuccio, G., Kruth, K., Osenberg, S., Khalil, S. M., Méndez-Albelo, N. M., Padmanabhan, K., Wang, D.-F., Niciu, M., Bhattacharyya, A., et al. (2024) · Stem Cell Reports · doi:10.1016/j.stemcr.2024.04.008 · Cited by 74 · see citing works
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface
Trautmann, E. M., O’Shea, D. J., Sun, X., Marshel, J. H., Crow, A., Hsueh, B., Vesuna, S. S., Cofer, L. B., Bohner, G., Allen, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23884-5 · Cited by 67 · see citing works
Neocortical layer 5 subclasses: from cellular properties to roles in behavior
Moberg, S., & Takahashi, N. (2022) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2022.1006773 · Cited by 62 · see citing works
A molecular and cellular perspective on human brain evolution and tempo
Lindhout, F. W., Krienen, F. M., Pollard, K. S., & Lancaster, M. A. (2024) · Nature · doi:10.1038/s41586-024-07521-x · Cited by 70 · see citing works
Spatiotemporal functional organization of excitatory synaptic inputs onto macaque V1 neurons
Ju, N., Li, Y., Liu, F., Jiang, H., Macknik, S. L., Martínez‐Conde, S., & Tang, S. (2020) · Nature Communications · doi:10.1038/s41467-020-14501-y · Cited by 63 · see citing works
Dynamic compartmental computations in tuft dendrites of layer 5 neurons during motor behavior
Otor, Y., Achvat, S., Cermak, N., Benisty, H., Abboud, M., Barak, O., Schiller, Y., Poleg-Polsky, A., & Schiller, J. (2022) · Science · doi:10.1126/science.abn1421 · Cited by 67 · see citing works
Rich, S., Chameh, H. M., Lefebvre, J., & Valiante, T. A. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110863 · Cited by 65 · see citing works
Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair
Stöber, T. M., Batulin, D., Triesch, J., Narayanan, R., & Jedlička, P. (2023) · Communications Biology · doi:10.1038/s42003-023-04823-0 · Cited by 63 · see citing works
Reduced inhibition in depression impairs stimulus processing in human cortical microcircuits
Yao, H. K., Guet-McCreight, A., Mazza, F., Moradi Chameh, H., Prevot, T. D., Griffiths, J. D., Tripathy, S. J., Valiante, T. A., Sibille, E., & Hay, E. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110232 · Cited by 55 · see citing works
Silences, spikes and bursts: Three‐part knot of the neural code
Friedenberger, Z., Harkin, E. F., Tóth, K., & Naud, R. (2023) · The Journal of Physiology · doi:10.1113/jp281510 · Cited by 57 · see citing works
Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction
Castro, A. F., Baltruschat, L., Stürner, T., Bahrami, A. H., Jedlička, P., Tavosanis, G., & Cuntz, H. (2020) · eLife · doi:10.7554/elife.60920 · Cited by 49 · see citing works
Lafourcade, M., van der Goes, M.-S. H., Vardalaki, D., Brown, N. J., Voigts, J., Yun, D. H., Kim, M. E., Ku, T., & Harnett, M. T. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.025 · Cited by 50 · see citing works
Self-citationActivity-dependent tuning of intrinsic excitability in mouse and human neurogliaform cells
Chittajallu, R., Auville, K., Mahadevan, V., Lai, M., Hunt, S., Calvigioni, D., Pelkey, K. A., Zaghloul, K. A., & McBain, C. J. (2020) · eLife · doi:10.7554/elife.57571 · Cited by 51 · see citing works
Pelkonen, A., Pistono, C., Klecki, P., Gómez‐Budia, M., Dougalis, A., Konttinen, H., Stanová, I., Fagerlund, I., Leinonen, V., Korhonen, P., et al. (2021) · Cells · doi:10.3390/cells11010106 · Cited by 50 · see citing works
Apical amplification—a cellular mechanism of conscious perception?
Marvan, T., Polák, M., Bachmann, T., & Phillips, W. A. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab036 · Cited by 45 · see citing works
Francioni, V., & Harnett, M. T. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.038 · Cited by 49 · see citing works
Self-citationSzegedi, V., Paizs, M., Baka, J., Barzó, P., Molnár, G., Tamás, G., & Lamsa, K. P. (2020) · eLife · doi:10.7554/elife.51691 · Cited by 46 · see citing works
Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit
Peng, Y., Bjelde, A., Aceituno, P. V., Mittermaier, F. X., Planert, H., Grosser, S., Onken, J., Faust, K., Kalbhenn, T., Simon, M., et al. (2024) · Science · doi:10.1126/science.adg8828 · Cited by 45 · see citing works
Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory
Watson, J. F., Vargas‐Barroso, V., Morse-Mora, R. J., Navas-Olivé, A., Tavakoli, M. R., Danzl, J. G., Tomschik, M., Rössler, K., & Jónás, P. (2024) · Cell · doi:10.1016/j.cell.2024.11.022 · Cited by 45 · see citing works
Masoli, S., Sánchez-Ponce, D., Vrieler, N., Abu-Haya, K., Lerner, V., Shahar, T., Nedelescu, H., Rizza, M. F., Benavides‐Piccione, R., DeFelipe, J., et al. (2024) · Communications Biology · doi:10.1038/s42003-023-05689-y · Cited by 43 · see citing works
Neurons as hierarchies of quantum reference frames
Fields, C., Glazebrook, J. F., & Levin, M. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104714 · Cited by 44 · see citing works
High synaptic threshold for dendritic NMDA spike generation in human layer 2/3 pyramidal neurons
Testa-Silva, G., Rosier, M., Honnuraiah, S., Guzulaitis, R., Megias, A. M., French, C. R., King, J. A. J., Drummond, K. J., Palmer, L. M., & Stuart, G. J. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111787 · Cited by 36 · see citing works
Kim, M.-H., Radaelli, C., Thomsen, E. R., Monet, D., Chartrand, T., Jorstad, N. L., Mahoney, J. T., Taormina, M. J., Long, B., Baker, K. S., et al. (2023) · eLife · doi:10.7554/elife.81863 · Cited by 43 · see citing works
Libé‐Philippot, B., Lejeune, A., Wierda, K. D. B., Louros, N. N., Erkol, E., Vlaeminck, I., Beckers, S., Gaspariunaite, V., Bilheu, A., Konstantoulea, K., et al. (2022) · Cell · doi:10.1016/j.cell.2023.11.028 · Cited by 43 · see citing works
Genetic Mechanisms Underlying the Evolution of Connectivity in the Human Cortex
Schmidt, E. R. E., & Polleux, F. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.787164 · Cited by 39 · see citing works
Measuring Absolute Membrane Potential Across Space and Time
Lazzari-Dean, J. R., Gest, A. M. M., & Miller, E. W. (2021) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-062920-063555 · Cited by 41 · see citing works
Cell-class-specific electric field entrainment of neural activity
Lee, S. Y., Kozalakis, K., Baftizadeh, F., Campagnola, L., Jarsky, T., Koch, C., & Anastassiou, C. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.009 · Cited by 39 · see citing works
Dendritic Compartmentalization of Learning-Related Plasticity
Godenzini, L., Shai, A. S., & Palmer, L. M. (2022) · eNeuro · doi:10.1523/eneuro.0060-22.2022 · Cited by 36 · see citing works
Berg, J., Sorensen, S. A., Ting, J. T., Miller, J. A., Chartrand, T., Buchin, A., Bakken, T. E., Budzillo, A., Dee, N., Ding, S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.31.018820 · Cited by 35 · see citing works
Large-scale neurophysiology and single-cell profiling in human neuroscience
Lee, A. T., Chang, E. F., Paredes, M. F., & Nowakowski, T. J. (2024) · Nature · doi:10.1038/s41586-024-07405-0 · Cited by 33 · see citing works
Reverse engineering human brain evolution using organoid models
Mostajo-Radji, M. A., Schmitz, M. T., Torres, S., & Pollen, A. A. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146582 · Cited by 34 · see citing works
CTNND2 moderates the pace of synaptic maturation and links human evolution to synaptic neoteny
Assendorp, N., Fossati, M., Libé-Philippot, B., Christopoulou, E., Depp, M., Rapone, R., Dingli, F., Loew, D., Vanderhaeghen, P., & Charrier, C. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114797 · Cited by 32 · see citing works
Wahle, P., Sobierajski, E., Köhler, I., Lehmann, N., Weber, S., Lübke, J. H. R., Engelhardt, M., Distler, C., & Meyer, G. (2022) · eLife · doi:10.7554/elife.76101 · Cited by 32 · see citing works
Layer-specific parameters of intracortical microstimulation of the somatosensory cortex
Urdaneta, M. E., Kunigk, N. G., Delgado, F., Fried, S. I., & Otto, K. J. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abedde · Cited by 31 · see citing works
‘Channeling’ therapeutic discovery for epileptic encephalopathy through iPSC technologies
Simkin, D., Ambrosi, C. M., Marshall, K. A., Williams, L. A., Eisenberg, J., Gharib, M., Dempsey, G. T., George, A. L., McManus, O. B., & Kiskinis, E. (2022) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2022.03.001 · Cited by 32 · see citing works
The impact of Hodgkin–Huxley models on dendritic research
Petousakis, K., Apostolopoulou, A. A., & Poirazi, P. (2022) · The Journal of Physiology · doi:10.1113/jp282756 · Cited by 36 · see citing works
High-fidelity dendritic sodium spike generation in human layer 2/3 neocortical pyramidal neurons
Gooch, H. M., Bluett, T., Perumal, M. B., Vo, H. D., Fletcher, L. N., Papacostas, J., Jeffree, R. L., Wood, M., Colditz, M., McMillen, J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111500 · Cited by 31 · see citing works
Auditory input enhances somatosensory encoding and tactile goal-directed behavior
Godenzini, L., Alwis, D. D. S., Guzulaitis, R., Honnuraiah, S., Stuart, G. J., & Palmer, L. M. (2021) · Nature Communications · doi:10.1038/s41467-021-24754-w · Cited by 30 · see citing works
An in vitro whole-cell electrophysiology dataset of human cortical neurons
Howard, D., Chameh, H. M., Guet-McCreight, A., Hsiao, H. A., Vuong, M., Seo, Y. S., Shah, P. T., Nigam, A., Chen, Y., Davie, M., et al. (2022) · GigaScience · doi:10.1093/gigascience/giac108 · Cited by 30 · see citing works
Distinct feedforward and feedback pathways for cell-type specific attention effects
Spyropoulos, G., Schneider, M., van Kempen, J., Gieselmann, M. A., Thiele, A., & Vinck, M. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.020 · Cited by 31 · see citing works
Isolation and culture of functional adult human neurons from neurosurgical brain specimens
Park, T. I.-H., Schweder, P., Lee, K., Dieriks, B. V., Jung, Y., Smyth, L., Rustenhoven, J., Mee, E., Heppner, P., Turner, C., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa171 · Cited by 28 · see citing works
Brain organoids: the quest to decipher human-specific features of brain development
Uzquiano, A., & Arlotta, P. (2022) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2022.101955 · Cited by 26 · see citing works
Apical length governs computational diversity of layer 5 pyramidal neurons
Galloni, A. R., Laffere, A., & Rancz, E. A. (2020) · eLife · doi:10.7554/elife.55761 · Cited by 27 · see citing works
Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity
Guet-McCreight, A., Chameh, H. M., Mahallati, S., Wishart, M., Tripathy, S. J., Valiante, T. A., & Hay, E. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac348 · Cited by 27 · see citing works
Morpho-electric diversity of human hippocampal CA1 pyramidal neurons
Mertens, E. J., Leibner, Y., Pie, J. L., Galakhova, A. A., Waleboer, F., Meijer, J., Heistek, T. S., Wilbers, R., Heyer, D. B., Goriounova, N. A., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114100 · Cited by 26 · see citing works
A meta-analysis of cranial electrotherapy stimulation in the treatment of depression
Price, L. R., Briley, J., Haltiwanger, S., & Hitching, R. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.12.043 · Cited by 27 · see citing works
Variation in Pyramidal Cell Morphology Across the Human Anterior Temporal Lobe
Benavides‐Piccione, R., Rojo, C., Kastanauskaite, A., & DeFelipe, J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab034 · Cited by 26 · see citing works
Local and Global Dynamics of Dendritic Activity in the Pyramidal Neuron
Stuyt, G., Godenzini, L., & Palmer, L. M. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.07.008 · Cited by 26 · see citing works
Resurgent Na+ currents promote ultrafast spiking in projection neurons that drive fine motor control
Zemel, B. M., Nevue, A. A., Dagostin, A., Lovell, P. V., Mello, C. V., & von Gersdorff, H. (2021) · Nature Communications · doi:10.1038/s41467-021-26521-3 · Cited by 25 · see citing works
Genetic Association of Phosphodiesterases With Human Cognitive Performance
Gurney, M. E. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00022 · Cited by 25 · see citing works
Ohtsuki, G. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3211-18.2019 · Cited by 23 · see citing works
Palmer, T. (2020) · Entropy · doi:10.3390/e22030281 · Cited by 15 · see citing works
Probing top-down information in neocortical layer 1
Pardi, M. B., Schroeder, A., & Letzkus, J. J. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.11.001 · Cited by 24 · see citing works
Szegedi, V., Bakos, E., Furdan, S., Kovács, B. B. H., Varga, D., Erdélyi, M., Barzó, P., Szűcs, A. L., Tamás, G., & Lamsa, K. P. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002001 · Cited by 23 · see citing works
Wilbers, R., Galakhova, A. A., Driessens, S. L. W., Heistek, T. S., Metodieva, V. D., Hagemann, J., Heyer, D. B., Mertens, E. J., Deng, S., Idema, S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf0708 · Cited by 23 · see citing works
Rich, S., Chameh, H. M., Sekulić, V., Valiante, T. A., & Skinner, F. K. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa261 · Cited by 23 · see citing works
Are Human Dendrites Different?
Fişek, M., & Häusser, M. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.03.002 · Cited by 22 · see citing works
Inhibition and oscillations in the human brain tissue in vitro
de la Prida, L. M., & Huberfeld, G. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.02.006 · Cited by 22 · see citing works
Human iPSC-Derived Neurons with Reliable Synapses and Large Presynaptic Action Potentials
Bullmann, T., Kaas, T., Ritzau‐Jost, A., Whner, A., Kirmann, T., Rizalar, F. S., Holzer, M., Nerlich, J., Puchkov, D., Geis, C., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0971-23.2024 · Cited by 22 · see citing works
SCO-spondin-derived Peptide Protects Neurons from Glutamate-induced Excitotoxicity
Delétage, N., Douce, J. L., Callizot, N., Godfrin, Y., & Lemarchant, S. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.02.005 · Cited by 21 · see citing works
Louth, E. L., Jørgensen, R. L., Korshoej, A. R., Sørensen, J. C. H., & Capogna, M. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.668980 · Cited by 20 · see citing works
Cortical circuit dynamics underlying motor skill learning: from rodents to humans
Kogan, E., Lu, J., & Zuo, Y. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1292685 · Cited by 16 · see citing works
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 20 · see citing works
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 · see citing works
Mengual, U. M., Wybo, W. A. M., Spierenburg, L. J. E., Santello, M., Senn, W., & Nevian, T. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.3028-19.2020 · Cited by 19 · see citing works
Halgren, M., Kang, R., Voytek, B., Ulbert, I., Fabó, D., Erőss, L., Wittner, L., Madsen, J. R., Doyle, W., Devinsky, O., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.28.454235 · Cited by 22 · see citing works
Self-citation
- Authors
- Beaulieu-Laroche, L., Toloza, E. H. S., van der Goes, M.-S., Lafourcade, M., Barnagian, D., Williams, Z. M., Eskandar, E. N., Frosch, M. P., Cash, S. S., & Harnett, M. T.
- Affiliations
- McGovern Institute for Brain Research (US)
- Massachusetts General Hospital (US)
- Harvard University (US)
- Corresponding author
- Cash, Sydney S.
- Harnett, Mark T.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 175
- Issue
- 3
- Pages
- 643-651.e14
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6197488
- OpenAlex
- W2897058286
- Cited by
- 296
- References
- 59
- Citations by year
- 2026: 22 · 2025: 39 · 2024: 50 · 2023: 50 · 2022: 36 · 2021: 39 · 2020: 31 · 2019: 28 · 2018: 1
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- PMC
- Funders
- Natural Sciences and Engineering Research Council of Canada (PGSD2-517068-2018)
- Dana Foundation David Mahoney Neuroimaging Grant Program
- NIH (RO1NS106031)
- Klingenstein-Simons Fellowship Awards in Neuroscience
- 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 › Molecular Biology › Ion channel regulation and function
- Keywords
- dendritic compartmentalization, layer 5 pyramidal neurons, dendritic spikes, ion channel density, neuron size, synaptic integration, neuronal bursting, human-rat comparison
- MeSH terms
- Action Potentials, Adult, Animals, Dendrites, Female, Humans, Ion Channels, Male, Species Specificity, Rats, Sprague-Dawley, Pyramidal Cells, Rats, Synaptic Potentials
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