The contribution of synaptic location to inhibitory gain control in pyramidal cells
Open accessAbstract
THE ACTIVITY OF PYRAMIDAL CELLS IS CONTROLLED BY TWO OPPOSING FORCES: synaptic inhibition and synaptic excitation. Interestingly, these synaptic inputs are not distributed evenly across the dendritic trees of cortical pyramidal cells. Excitatory synapses are densely packed along only the more peripheral dendrites, but are absent from the proximal stems and the soma. In contrast, inhibitory synapses are located throughout the dendritic tree, the soma, and the axon initial segment. Thus both excitatory and inhibitory inputs exist on the peripheral dendritic tree, while the proximal segments only receive inhibition. The functional consequences of this uneven organization remain unclear. We used both optogenetics and dynamic patch clamp techniques to simulate excitatory synaptic conductances in pyramidal cells, and then assessed how their firing output is modulated by gamma-amino-butyric acid type A (GABAA) receptor activation at different regions of the somatodendritic axis. We report here that activation of GABAA receptor on the same dendritic compartment as excitatory inputs causes a rightwards shift in the function relating firing rate to excitatory conductance (the input-output function). In contrast, GABAA receptor activation proximal to the soma causes both a rightwards shift and also a reduction in the maximal firing rate. The experimental data are well reproduced in a simple, four compartmental model of a neuron with inhibition either on the same compartment, or proximal, to the excitatory drive.
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?
Proximal inhibition alters the electrotonic properties (shunting) of the path between the excitatory conductance input and the axon initial segment output, increasing threshold and decreasing the maximal firing rate for a given excitatory conductance input.
“however, proximal inhibition alters the electrotonic properties (i.e., shunting) of the path between the excitatory conductance input and the axon initial segment output to both increase threshold and decrease the maximal firing rate for a given excitatory conductance input.”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [924]
When inhibition and excitation arrived at the same dendritic compartment, inhibition caused a rightward shift in the firing rate function related to excitatory conductance.
“Of interest, they observed that when inhibition and excitation arrived at the same dendritic compartment, inhibition caused a rightward shift in the firing rate function related to excitatory conductance (FIGURE 19).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [924]
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
Synchronization of neuronal activity in hippocampus by individual GABAergic interneurons
Cobb, S. R., Buhl, E. H., Halasy, K., Paulsen, O., & Somogyi, P. (1995) · Nature · doi:10.1038/378075a0 · Cited by 1,498 · see citing works
Pfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353 · see citing works
Self-citationElectric current flow in excitable cells
(1976) · American Heart Journal · doi:10.1016/s0002-8703(76)80560-1 · Cited by 1,288 · see citing works
Gain Modulation from Background Synaptic Input
Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012 · see citing works
Megı́as, M., Emri, Z., Freund, T. F., & Gulyás, A. I. (2001) · Neuroscience · doi:10.1016/s0306-4522(00)00496-6 · Cited by 950 · 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
Thalamocortical responses of mouse somatosensory (barrel) cortexin vitro
Agmon, A., & Connors, B. W. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90333-j · Cited by 673 · see citing works
Neuron: A Tool for Neuroscientists
Hines, M. L., & Carnevale, N. T. (2001) · The Neuroscientist · doi:10.1177/107385840100700207 · Cited by 639 · see citing works
Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli
Atallah, B. V., Bruns, W., Carandini, M., & Scanziani, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.013 · Cited by 612 · see citing works
Self-citationShunting Inhibition Modulates Neuronal Gain during Synaptic Excitation
Mitchell, S. J., & Silver, R. A. (2003) · Neuron · doi:10.1016/s0896-6273(03)00200-9 · Cited by 602 · see citing works
Activation of specific interneurons improves V1 feature selectivity and visual perception
Lee, S.-H., Kwan, A. C., Zhang, S., Phoumthipphavong, V., Flannery, J. G., Masmanidis, S. C., Taniguchi, H., Huang, Z. J., Zhang, F., Boyden, E. S., et al. (2012) · Nature · doi:10.1038/nature11312 · Cited by 593 · see citing works
Division and subtraction by distinct cortical inhibitory networks in vivo
Wilson, N. R., Runyan, C. A., Wang, F. L., & Sur, M. (2012) · Nature · doi:10.1038/nature11347 · Cited by 568 · see citing works
Silver, R. A. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2864 · Cited by 481 · see citing works
Routing of spike series by dynamic circuits in the hippocampus
Pouille, F., & Scanziani, M. (2004) · Nature · doi:10.1038/nature02615 · Cited by 434 · see citing works
Self-citationEvidence of an inhibitory restraint of seizure activity in humans
Schevon, C. A., Weiss, S. A., McKhann, G. M., Goodman, R. R., Yuste, R., Emerson, R. G., & Trevelyan, A. J. (2012) · Nature Communications · doi:10.1038/ncomms2056 · Cited by 428 · see citing works
Self-citationThe Contribution of Noise to Contrast Invariance of Orientation Tuning in Cat Visual Cortex
Anderson, J. S., Lampl, I., Gillespie, D. C., & Ferster, D. (2000) · Science · doi:10.1126/science.290.5498.1968 · Cited by 422 · see citing works
Regulation of neuronal input transformations by tunable dendritic inhibition
Lovett-Barron, M., Turi, G. F., Kaifosh, P., Lee, P. H., Bolze, F., Sun, X.-H., Nicoud, J.-F., Zemelman, B. V., Sternson, S. M., & Losonczy, A. (2012) · Nature Neuroscience · doi:10.1038/nn.3024 · Cited by 417 · see citing works
Modular Propagation of Epileptiform Activity: Evidence for an Inhibitory Veto in Neocortex
Trevelyan, A. J., Sussillo, D., Watson, B. O., & Yuste, R. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2787-06.2006 · Cited by 344 · see citing works
Self-citationInput normalization by global feedforward inhibition expands cortical dynamic range
Pouille, F., Marin-Burgin, A., Adesnik, H., Atallah, B. V., & Scanziani, M. (2009) · Nature Neuroscience · doi:10.1038/nn.2441 · Cited by 306 · see citing works
Self-citationBarrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons
Shu, Y., Hasenstaub, A., Badoual, M., Bal, T., & McCormick, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10388.2003 · Cited by 298 · see citing works
The Cellular Basis of GABA <sub>B</sub> -Mediated Interhemispheric Inhibition
Palmer, L. M., Schulz, J. M., Murphy, S. C., Ledergerber, D., Murayama, M., & Larkum, M. E. (2012) · Science · doi:10.1126/science.1217276 · Cited by 284 · see citing works
Electric Current Flow in Excitable Cells.
Cattaneo, A. (1984) · Bioelectrochemistry and Bioenergetics · doi:10.1016/0302-4598(84)87024-5 · Cited by 262 · see citing works
Synaptic depression enables neuronal gain control
Rothman, J. S., Cathala, L., Steuber, V., & Silver, R. A. (2009) · Nature · doi:10.1038/nature07604 · Cited by 243 · see citing works
Hodgkin and Huxley model — still standing?
McCormick, D. A., Shu, Y., & Yu, Y. (2007) · Nature · doi:10.1038/nature05523 · Cited by 145 · see citing works
Evidence for a Computational Distinction Between Proximal and Distal Neuronal Inhibition
Vu, E. T., & Krasne, F. B. (1992) · Science · doi:10.1126/science.1553559 · Cited by 112 · see citing works
Does inhibition balance excitation in neocortex?
Trevelyan, A. J., & Watkinson, O. T. (2004) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2004.06.008 · Cited by 38 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Fairen A DeFelipe J Regidor J Peters A Jones EG Nonpyramidal neurons: general account Cerebral cortex 1984 London, U.K Plenum Press 201 253
Cited by
Sorted by citations
GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033 · see citing works
“It is generally thought that proximal and distal inhibition would exert divisive and subtractive gain changes, respectively (Atallah et al., 2012; Koch et al., 1983; Pouille et al., 2013; Vu and Krasne, 1992; Wilson et al., 2012).”
Hippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889 · see citing works
Disinhibition, a Circuit Mechanism for Associative Learning and Memory
Letzkus, J. J., Wolff, S. B. E., & Lüthi, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.024 · Cited by 401 · see citing works
Motor Learning and the CerebellumPreprint
Zeeuw, C. I. D., & ten Brinke, M. M. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021683 · Cited by 241 · see citing works
Baker, A. L., Kalmbach, B. E., Morishima, M., Kim, J., Juavinett, A., Li, N., & Dembrow, N. C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0150-18.2018 · Cited by 187 · see citing works
Role of inhibitory control in modulating focal seizure spread
Liou, J.-Y., Ma, H., Wenzel, M., Zhao, M., Baird-Daniel, E., Smith, E. H., Daniel, A. G. S., Emerson, R. G., Yuste, R., Schwartz, T. H., et al. (2018) · Brain · doi:10.1093/brain/awy116 · Cited by 101 · see citing works
Dendritic inhibition mediated by O-LM and bistratified interneurons in the hippocampus
ller, C. M. ⁄., & Remy, S. (2014) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2014.00023 · Cited by 96 · 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
Anastasiades, P. G., Marlin, J. J., & Carter, A. G. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.073 · Cited by 87 · see citing works
Cortical Circuits of Callosal GABAergic Neurons
Rock, C., Zurita, H., Lebby, S., Wilson, C. J., & Apicella, A. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx025 · Cited by 70 · see citing works
Chemogenetic Recruitment of Specific Interneurons Suppresses Seizure Activity
Călin, A., Stancu, M., Zăgrean, A., Jefferys, J. G. R., Ilie, A. S., & Akerman, C. J. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00293 · Cited by 60 · see citing works
Griffen, T. C. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00091 · Cited by 62 · see citing works
Veres, J. M., Nagy, G. A., & Hájos, N. (2017) · eLife · doi:10.7554/elife.20721 · Cited by 58 · see citing works
Multiscale recordings reveal the dynamic spatial structure of human seizures
Schevon, C. A., Tobochnik, S. D., Eissa, T. L., Merricks, E. M., Gill, B. J. A., Parrish, R. R., Bateman, L. M., McKhann, G. M., Emerson, R. G., & Trevelyan, A. J. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.03.015 · Cited by 56 · see citing works
Self-citationParrish, R. R., Codadu, N. K., Scott, C. M., & Trevelyan, A. J. (2019) · The Journal of Physiology · doi:10.1113/jp277749 · Cited by 53 · see citing works
Self-citationHippocampal hyperactivity in a rat model of Alzheimer’s disease
Sosulina, L., Mittag, M., Geis, H., Hoffmann, K., Klyubin, I. V., Qi, Y., Steffen, J., Friedrichs, D., Henneberg, N., Fuhrmann, F., et al. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15323 · Cited by 51 · see citing works
Barbero‐Castillo, A., Mateos‐Aparicio, P., Porta, L. D., Camassa, A., Perez-Mendez, L., & Sanchez-Vives, M. V. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1837-20.2021 · Cited by 53 · see citing works
General features of the retinal connectome determine the computation of motion anticipation
Johnston, J., & Lagnado, L. (2015) · eLife · doi:10.7554/elife.06250 · Cited by 52 · see citing works
Medalla, M., Chang, W., Calderazzo, S. M., Go, V., Tsolias, A., Goodliffe, J., Pathak, D., Alba, D. D., Pessina, M. A., Rosene, D., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2226-19.2020 · Cited by 45 · see citing works
Apicella, A. J., & Marchionni, I. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.811484 · Cited by 43 · see citing works
Learning to live with Dale’s principle: ANNs with separate excitatory and inhibitory unitsPreprint
Cornford, J. H., Kalajdzievski, D., Leite, M., Lamarquette, A., Kullmann, D. M., & Richards, B. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.02.364968 · Cited by 43 · see citing works
Capogna, M., Castillo, P. E., & Maffei, A. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14907 · Cited by 41 · see citing works
Layer 5 Callosal Parvalbumin-Expressing Neurons: A Distinct Functional Group of GABAergic Neurons
Zurita, H., Feyen, P., & Apicella, A. J. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00053 · Cited by 40 · see citing works
Vascak, M., Sun, J., Baer, M. L., Jacobs, K. M., & Povlishock, J. T. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00157 · Cited by 37 · see citing works
Chloride dynamics alter the input-output properties of neurons
Currin, C. B., Trevelyan, A. J., Akerman, C. J., & Raimondo, J. V. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007932 · Cited by 38 · see citing works
Self-citationA Non-Canonical Cortico-Amygdala Inhibitory Loop
Bertero, A., Feyen, P., Zurita, H., & Apicella, A. J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1515-19.2019 · Cited by 36 · see citing works
Establishment and Maintenance of Neural Circuit Architecture
Heckman, E. L., & Doe, C. Q. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1143-20.2020 · Cited by 35 · see citing works
Hernández‐Frausto, M., Bilash, O. M., Masurkar, A. V., & Basu, J. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1223891 · Cited by 33 · see citing works
The Role of Inhibition in Epileptic Networks
Trevelyan, A. J., Muldoon, S. F., Merricks, E. M., Racca, C., & Staley, K. J. (2015) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000160 · Cited by 30 · see citing works
Self-citationMilicevic, K. D., Barbeau, B. L., Lovic, D. D., Patel, A. A., Ivanova, V. O., & Antic, S. D. (2023) · Current Research in Neurobiology · doi:10.1016/j.crneur.2023.100121 · Cited by 30 · see citing works
Kurtin, D., Giunchiglia, V., Vohryzek, J., Cabral, J., Skeldon, A., & Violante, I. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120042 · Cited by 28 · see citing works
Do Cortical Circuits Need Protecting from Themselves?
Trevelyan, A. J. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.06.002 · Cited by 26 · see citing works
Self-citationSynaptic biology of barrel cortex circuit assembly
Vitali, I., & Jabaudon, D. (2014) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2014.07.009 · Cited by 25 · see citing works
Pracucci, E., Graham, R., Alberio, L., Nardi, G., Cozzolino, O., Pillai, V., Pasquini, G., Saieva, L., Walsh, D. A., Landi, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42711-7 · Cited by 26 · see citing works
Self-citationInhibition Controls Asynchronous States of Neuronal Networks
Treviño, M. (2016) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2016.00011 · Cited by 22 · see citing works
Regulation of subcellular dendritic synapse specificity by axon guidance cues
Sales, E. C., Heckman, E. L., Warren, T. L., & Doe, C. Q. (2019) · eLife · doi:10.7554/elife.43478 · Cited by 22 · see citing works
Zimmer‐Bensch, G. (2018) · Brain Research · doi:10.1016/j.brainres.2018.09.001 · Cited by 21 · see citing works
Inhibition for gain modulation in the motor system
Greenhouse, I. (2022) · Experimental Brain Research · doi:10.1007/s00221-022-06351-5 · Cited by 19 · see citing works
Ogando, M. B., Pedroncini, O., Federman, N., Romano, S. A., Brum, L. A., Lanuza, G. M., Refojo, D., & Marín‐Burgin, A. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109572 · Cited by 20 · see citing works
Structural Organization of Perisomatic Inhibition in the Mouse Medial Prefrontal Cortex
Nagy-Pál, P., Veres, J. M., Fekete, Z., Karlócai, M. R., Weisz, F., Barabás, B., Reéb, Z., & Hájos, N. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0432-23.2023 · Cited by 17 · see citing works
Κουτσούμπα, Α., & Papatheodoropoulos, C. (2019) · BMC Neuroscience · doi:10.1186/s12868-019-0517-5 · Cited by 17 · see citing works
Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model
Papasavvas, C., Wang, Y., Trevelyan, A. J., & Kaiser, M. (2015) · Physical Review E · doi:10.1103/physreve.92.032723 · Cited by 15 · see citing works
Self-citationIncreased hippocampal GABAergic inhibition after long-term high-intensity sound exposure
Cunha, A. O. S., de Deus, J. L., Ceballos, C. C., & Leão, R. M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0210451 · Cited by 13 · see citing works
Gulyás, A. I., Freund, T. F., & Káli, S. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00088 · Cited by 10 · see citing works
Role of inhibitory control in modulating focal seizure spreadPreprint
Liou, J.-Y., Ma, H., Wenzel, M., Zhao, M., Baird-Daniel, E., Smith, E. H., Daniel, A. G. S., Emerson, R. G., Yuste, R., Schwartz, T. H., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/146407 · Cited by 13 · see citing works
Assessment of epilepsy using noninvasive visual psychophysics tests of surround suppression
Yazdani, P., Read, J. C. A., Whittaker, R. G., & Trevelyan, A. J. (2017) · Physiological Reports · doi:10.14814/phy2.13079 · Cited by 10 · see citing works
Self-citationStructural and Functional Properties of Hippocampal Neurons
Spruston, N., Piskorowski, R. A., Chevaleyre, V., Eyre, M. D., McBain, C. J., & Bartos, M. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0005 · Cited by 11 · see citing works
Currin, C. B., & Raimondo, J. V. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010534 · Cited by 8 · see citing works
Functional Implications of Dynamic DNA Methylation for the Developing, Aging and Diseased Brain
Zimmer‐Bensch, G. (2019) · RNA technologies · doi:10.1007/978-3-030-14792-1_6 · Cited by 8 · see citing works
França, T. F. A. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107102 · Cited by 8 · see citing works
Cardarelli, R. A., Martin, R. F., Jaaro-Peled, H., Sawa, A., Powell, E. M., & O’Donnell, P. (2018) · Complex Psychiatry · doi:10.1159/000488030 · Cited by 6 · see citing works
Cammarata, C. M., Pei, Y., Hu, T., Shields, B. C., Lim, S. S. X., Hawley, T. M., Li, J. Y., St-Amand, D., Brunel, N., Tadross, M. R., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115954 · Cited by 7 · see citing works
Distinctive features of the central synaptic organization of Drosophila larval proprioceptors
Greaney, M. R., Wreden, C. C., & Heckscher, E. S. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1223334 · Cited by 4 · see citing works
Size tuning of neural response variability in laminar circuits of macaque primary visual cortex
Nurminen, L., Bijanzadeh, M., & Angelucci, A. (2026) · eLife · doi:10.7554/elife.86334 · Cited by 5 · see citing works
Pracucci, E., Graham, R., Alberio, L., Nardi, G., Cozzolino, O., Pillai, V., Saieva, L., Walsh, D. A., Landi, S., Zhang, J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.12.443725 · Cited by 4 · see citing works
Self-citationHuman Single-Neuron Recordings in Epilepsy
Merricks, E. M., & Schevon, C. A. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780197549469.003.0016 · Cited by 3 · see citing works
Divisive gain modulation enables flexible and rapid entrainment in a neocortical microcircuit model
Papasavvas, C., Trevelyan, A. J., Kaiser, M., & Wang, Y. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00401.2019 · Cited by 3 · see citing works
Self-citationTarget-cell-specific synaptic properties in neocortical microcircuits
Blackman, A. V. (2015) · UCL Discovery (University College London)
The spatiotemporal dynamics of human focal seizures
Liou, J.-Y. (2017) · doi:10.7916/d8d228xm
Rooy, M., Koukouli, F., Maskos, U., & Gutkin, B. S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/301051
Introducing divisive inhibition in the Wilson-Cowan modelPreprint
Papasavvas, C., & Wang, Y. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.27.889642
Multisensory Processing in the Primate Amygdala
Morrow, J. K. (2019) · UA Campus Repository (The University of Arizona)
Grosmark, A., Milstein, A. D., Losonczy, A., & Soltész, I. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0007
A unified law for inhibitory control in active dendritesPreprint
He, Y., He, G., Huang, B., Poirazi, P., Huang, T., & Du, K. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.15.725398
- Authors
- Pouille, F., Watkinson, O., Scanziani, M., & Trevelyan, A. J.
- Affiliations
- Howard Hughes Medical Institute; University of California San Diego; La Jolla 92093-0634 California
- Royal Papworth Hospital (GB)
- Howard Hughes Medical Institute (US)
- Newcastle University (GB)
- Corresponding author
- Trevelyan, Andrew J.
- Venue
- Physiological Reports
- Publisher
- Wiley
- Published
- 2013-09-23
- Volume
- 1
- Issue
- 5
- Pages
- e00067-e00067
- ISSN
- 2051-817X (ISSN-L)
- PMC
- PMC3841021
- OpenAlex
- W2158955562
- Cited by
- 65
- References
- 26
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 5 · 2019: 11 · 2018: 8 · 2017: 7 · 2016: 4 · 2015: 6 · 2014: 4
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Physiological Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Howard Hughes Medical Institute
- Epilepsy Research U.K
- MRC
- 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
- pyramidal neurons, GABAA receptor, dendritic compartmentalization, input-output function, cortical neurons
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
