The DOI matches its Crossref record; 125 of the 126 references it cites were found in a registry or an index.
Interneuron cell types are fit to function
Open accessAbstract
Understanding brain circuits begins with an appreciation of their component parts - the cells. Although GABAergic interneurons are a minority population within the brain, they are crucial for the control of inhibition. Determining the diversity of these interneurons has been a central goal of neurobiologists, but this amazing cell type has so far defied a generalized classification system. Interneuron complexity within the telencephalon could be simplified by viewing them as elaborations of a much more finite group of developmentally specified cardinal classes that become further specialized as they mature. Our perspective emphasizes that the ultimate goal is to dispense with classification criteria and directly define interneuron types by function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The cardinal identity of a cell is probably already instilled at the postmitotic stage during development9,61,62,63,64, and its subsequent phenotypic differentiation and expression are regulated by extrinsic signals such as cell interactions and neural activity.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [9]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“IN subtypes differ in their expression of molecules such as calcium-binding proteins and neuropeptides”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as Kepecs and Fishell, 2014
In the citing paper
“Developmental transcriptomic data seems compatible with the hypothesis that that cascades of transcription factors and positive feedback autoregulatory loops predominate early in development, but pass the baton to activity-dependent feedback mechanisms that fine-tune neuronal morphology and synaptic connectivity (see (Fishell and Heintz, 2013; Kepecs and Fishell, 2014) for review).”
From Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops (2016) · cites this paper as Kepecs and Fishell, 2014
In the citing paper
“This diverse group of neurons is developmentally derived from progenitors residing in embryonic proliferative zones known as the medial, caudal and lateral ganglionic eminences (MGE, CGE, LGE, respectively)1.”
From Developmental diversification of cortical inhibitory interneurons (2018) · cites this paper as [1]
In the citing paper
“For example, decades of developmental studies have established a clear division of transcription programmes between the interneurons derived from the medial and caudal ganglionic eminence (MGE and CGE, respectively)9,31,32,33.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [9]
In the citing paper
“Defining neuronal types on the basis of their ‘function’ seems intuitive and the most relevant to nervous system operation9,51, but neuronal functions manifest at multiple levels that carry different meanings, vary according to behavioural context, and thus seem not to be well suited for use in defining cell types.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [9]
In the citing paper
“PVBCs have origin in the MGE with specification driven by the homeodomain transcription factor Nkx2.1 (21% of MGE-derived interneurons, see assumptions above) (147, 575, 1138, 1233).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [575]
In the citing paper
“This suggests that interneuron diversity does not emerge in response to activity-dependent mechanisms in the cortex (1, 9), but rather is established early, before these cells reach the cortex, by specific transcriptional programs that then unfold over the course of several weeks.”
From Early emergence of cortical interneuron diversity in the mouse embryo (2018) · cites this paper as [1]
In the citing paper
“(the MGE gives rise to SST and PVALB cortical types; the CGE gives rise to VIP and LAMPS cortical types)”
From Innovations present in the primate interneuron repertoire (2020) · cites this paper as [19]
In the citing paper
“Vip and Tac2 (the mouse homologue of TAC3) are neuropeptide genes associated with a CGE origin in the mouse19”
From Innovations present in the primate interneuron repertoire (2020) · cites this paper as [19]
In the citing paper
“In the mouse, neocortical Lamp5+ interneurons primarily consist of neurogliaform and single-bouquet types, which are the most numerous layer-1 neurons and have distinct morphological, neurochemical and connectivity properties19.”
From Innovations present in the primate interneuron repertoire (2020) · cites this paper as [19]
In the citing paper
“many markers that are widely used to identify specific subtypes of interneurons in mice (such as Calb1, Calb2, Htr3a, Reln, Cck and Nos1)19,33 had different patterns of expression across the corresponding subtypes in primates”
From Innovations present in the primate interneuron repertoire (2020) · cites this paper as [19]
In the citing paper
“Since the diverse sources of inhibition from the various interneuronal types are believed to enable networks to achieve more complex behaviors, including oscillations (Soltesz, 2006; Rotstein et al., 2005; Kepecs and Fishell, 2014)”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Kepecs and Fishell, 2014
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
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,478
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050
Normalization as a canonical neural computation
Carandini, M., & Heeger, D. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3136 · Cited by 1,906
Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity
van Vreeswijk, C., & Sompolinsky, H. (1996) · Science · doi:10.1126/science.274.5293.1724 · Cited by 1,831
A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex
Taniguchi, H., He, M., Wu, P., Kim, S., Paik, R., Sugino, K., Kvitsani, D., Fu, Y., Lu, J., Lin, Y., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.026 · Cited by 1,828
Self-citation
Cited by
Sorted by citations
Items 601–700 of 1,004
Early cortical GABAergic interneurons determine the projection patterns of L4 excitatory neurons
Bragg-Gonzalo, L., Aguilera, A. A., González-Arias, C., de León-Reyes, N. S., Sánchez-Cruz, A., Carballeira, P., Leroy, F., Perea, G., & Nieto, M. (2024) · Science Advances · doi:10.1126/sciadv.adj9911 · Cited by 15
Park, E., Kuljis, D. A., Swindell, R. A., Ray, A., Zhu, M., Christian, J. A., & Barth, A. L. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115606 · Cited by 15
Identification and application of cell-type-specific enhancers for the macaque brain
Li, L., Huang, Y., Lu, D., Fu, J., Wu, L., Chen, Z., Liao, H., Zhang, J., Li, L., Gu, T., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.040 · Cited by 15
Functional properties of GABA synaptic inputs onto GABA neurons in monkey prefrontal cortex
Rotaru, D. C., Olezene, C. S., Miyamae, T., Povysheva, N. V., Zaitsev, A. V., Lewis, D. A., & González‐Burgos, G. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00799.2014 · Cited by 15
Experience‐dependent transcriptional regulation in juvenile brain development
Sakai, A., & Sugiyama, S. (2018) · Development Growth & Differentiation · doi:10.1111/dgd.12571 · Cited by 15
Lieberman, B., Kusi, M., Hung, C., Chou, C., Ning, H., Ho, Y., Taverna, J. A., Huang, T. H. ‐., & Chen, C. (2020) · Journal of Translational Genetics and Genomics · doi:10.20517/jtgg.2020.51 · Cited by 15
Verma, V., Kumar, M., Sharma, K., Rajaram, S., Muddashetty, R. S., Manjithaya, R. R., Behnisch, T., & Clement, J. P. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06254-x · Cited by 15
A Redundant Cortical Code for Speech Envelope
Penikis, K. B., & Sanes, D. H. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1616-21.2022 · Cited by 15
Stuempflen, M., Taymourtash, A., Kienast, P., Schmidbauer, V. U., Schwartz, E., Mitter, C., Binder, J., Prayer, D., Kasprian, G. J., & Collaborators (2023) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.26232 · Cited by 15
Building blocks of the cerebral cortex: from development to the dish
Harris, J. M., Tomassy, G. S., & Arlotta, P. (2015) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.192 · Cited by 15
Coevolution in the timing of GABAergic and pyramidal neuron maturation in primates
Charvet, C. J., Šimić, G., Kostović, I., Knezović, V., Vukšić, M., Leko, M. B., Takahashi, E., Sherwood, C. C., Wolfe, M. D., & Finlay, B. L. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.1169 · Cited by 15
Deep Survey of GABAergic Interneurons: Emerging Insights From Gene-Isoform Transcriptomics
Que, L., Winterer, J., & Földy, C. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00115 · Cited by 15
Synaptic inhibition tunes contrast computation in the retina
Oesch, N. W., & Diamond, J. S. (2019) · Visual Neuroscience · doi:10.1017/s095252381900004x · Cited by 15
Lizbinski, K. M., Marsat, G., & Dacks, A. M. (2018) · eNeuro · doi:10.1523/eneuro.0212-18.2018 · Cited by 15
Intersectional Illumination of Neural Circuit Function
Allen, W. E., & Luo, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.032 · Cited by 14
Li, Z., Wang, D., Liao, H., Zhang, S., Guo, W., Chen, L., Lü, L., Huang, T., & Cai, Y. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.857851 · Cited by 14
Crosstalk between the subiculum and sleep–wake regulation: A review
Rahimi, S., Joyce, L., Fenzl, T., & Drexel, M. (2024) · Journal of Sleep Research · doi:10.1111/jsr.14134 · Cited by 14
Scheper, M., Sørensen, F. N. F., Ruffolo, G., Gaeta, A., Lissner, L. J., Anink, J. J., Korshunova, I., Jansen, F. E., Riney, K., Hecke, W. V., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02737-7 · Cited by 14
Li, W., Qiu, X., Chen, J., Chen, K., Chen, M., Wang, Y., Sun, W., Su, J., Chen, Y., Liu, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202403801 · Cited by 14
Bershteyn, M., Zhou, H., Fuentealba, L. C., Chen, C., Subramanyam, G., Cherkowsky, D., Sevilla, E. S., Hampel, P., Salvatierra, J., Sezan, M., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.010 · Cited by 14
Gothner, T., Gonçalves, P. J., Sahani, M., Linden, J. F., & Hildebrandt, K. J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa347 · Cited by 14
Molecular mechanisms of axo-axonic innervation
Ango, F., Gallo, N. B., & Aelst, L. V. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.03.002 · Cited by 14
Kim, J. H., Ryu, J. R., Lee, B., Chae, U., Son, J. W., Park, B. H., Cho, I., & Sun, W. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.746057 · Cited by 14
Loss of KCC2 in GABAergic Neurons Causes Seizures and an Imbalance of Cortical Interneurons
Zavalin, K. A., Hassan, A., Fu, C., Delpire, E. J., & Lagrange, A. H. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.826427 · Cited by 14
Venkataramanappa, S., Saaber, F., Abe, P., Schütz, D., Kumar, P. A., & Stumm, R. K. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111157 · Cited by 14
Offset Responses in the Auditory Cortex Show Unique History Dependence
Olsen, T., & Hasenstaub, A. R. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0494-22.2022 · Cited by 14
A debate on the neuronal origin of focal seizures
Wenzel, M., Huberfeld, G., Grayden, D. B., de Curtis, M., & Trevelyan, A. J. (2023) · Epilepsia · doi:10.1111/epi.17650 · Cited by 14
Fate determination of cerebral cortical GABAergic interneurons and their derivation from stem cells
DeBoer, E., & Anderson, S. A. (2015) · Brain Research · doi:10.1016/j.brainres.2015.12.031 · Cited by 14
Anderson, E. M., Demis, S., D’Acquisto, H., Engelhardt, A., & Hearing, M. C. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.621751 · Cited by 14
Distinct hyperactive RAS/MAPK alleles converge on common GABAergic interneuron core programs
Knowles, S. J., Stafford, A. M., Zaman, T., Angara, K., Williams, M. R., Newbern, J. M., & Vogt, D. L. (2023) · Development · doi:10.1242/dev.201371 · Cited by 14
Ibrahim, L. A., Wamsley, B., Alghamdi, N., Yusuf, N., Sevier, E., Hairston, A., Sherer, M., Jaglin, X. H., Xu, Q., Guo, L., et al. (2023) · eLife · doi:10.7554/elife.86842 · Cited by 14
Self-citationConnectivity motifs of inhibitory neurons in the mouse Auditory Cortex
Oviedo, H. V. (2017) · Scientific Reports · doi:10.1038/s41598-017-16904-2 · Cited by 14
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 14
A Molecular Landscape of Mouse Hippocampal Neuromodulation
Smith, S. J., & von Zastrow, M. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.836930 · Cited by 13
Minami, K., Kami, K., Nishimura, Y., Kawanishi, M., Imashiro, K., Kami, T., Habata, S., Senba, E., Umemoto, Y., & Tajima, F. (2023) · Scientific Reports · doi:10.1038/s41598-023-29849-6 · Cited by 13
Khlaifia, A., Jadhav, V., Danik, M., Badra, T., Berryer, M. H., Dionne‐Laporte, A., Chattopadhyaya, B., Cristo, G. D., Lacaille, J., & Michaud, J. L. (2023) · eNeuro · doi:10.1523/eneuro.0475-22.2023 · Cited by 13
Ventral hippocampal cholecystokinin interneurons gate contextual reward memory
Nguyen, R., Sivakumaran, S., Lambe, E. K., & Kim, J. C. (2024) · iScience · doi:10.1016/j.isci.2024.108824 · Cited by 13
Transcriptomic landscape of mammalian ventral pallidum at single-cell resolution
Yang, L., Fang, L. Z., Lynch, M., Xu, C. S., Hahm, H., Zhang, Y., Heitmeier, M. R., Costa, V. D., Samineni, V. K., & Creed, M. C. (2024) · Science Advances · doi:10.1126/sciadv.adq6017 · Cited by 13
Lee, Y. S., Huang, N., Samuels, T. J., & Davis, I. (2025) · Science Advances · doi:10.1126/sciadv.adr6682 · Cited by 13
Neural Circuit Mapping and Neurotherapy-Based Strategies
Marei, H. E. S. (2025) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01595-5 · Cited by 13
VIVIT: Resolving trans-scale volumetric biological architectures via ionic glassy tissue
Gao, Y., Xin, F., Wang, T., Shao, C., Hu, Y., Chen, Z., Wang, Y., Xie, F., Li, T., Li, S., et al. (2025) · Cell · doi:10.1016/j.cell.2025.07.023 · Cited by 13
Canonical cortical circuits: current evidence and theoretical implications
Lazzaro, V. D., Capone, F., Paolucci, M., Assenza, F., Brunelli, N., Ricci, L., & Florio, L. (2016) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s70816 · Cited by 13
Chatzikalymniou, A. P., Gumus, M., Lunyov, A. R., Rich, S., Lefebvre, J., & Skinner, F. K. (2021) · Hippocampus · doi:10.1002/hipo.23364 · Cited by 13
The roles of serotonin in cell adhesion and migration, and cytoskeletal remodeling
Jayakumar, J. A. K. J., & Panicker, M. M. (2021) · Cell Adhesion & Migration · doi:10.1080/19336918.2021.1963574 · Cited by 13
Lukow, P. B., Martins, D., Veronese, M., Vernon, A. C., McGuire, P. K., Turkheimer, F., & Modinos, G. (2022) · Communications Biology · doi:10.1038/s42003-022-03268-1 · Cited by 13
Huang, D., & Ma, Y. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.06.002 · Cited by 13
Bernaerts, Y., Deistler, M., Gonçalves, P. J., Beck, J., Stimberg, M., Scala, F., Tolias, A. S., Macke, J. H., Kobak, D., & Berens, P. (2025) · Patterns · doi:10.1016/j.patter.2025.101323 · Cited by 13
Synaptic interactions and inhibitory regulation in auditory cortex
Askew, C. E., & Metherate, R. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.11.001 · Cited by 13
Altered inhibition and excitation in neocortical circuits in congenital microcephaly
Zaqout, S., Blasius, K., Wu, Y.-J., Ott, S., Kraemer, N., Becker, L., Rosário, M., Rosenmund, C., Strauß, U., & Kaindl, A. M. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.05.008 · Cited by 13
Aksić, M., Poleksić, J., Aleksić, D., Petronijević, N., Radonjić, N. V., Jakovcevski, M., Kapor, S., Divac, N., Filipović, B., & Jakovčevski, I. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.670766 · Cited by 13
Somatostatin Interneurons of the Insula Mediate QR2-Dependent Novel Taste Memory Enhancement
Gould, N. L., Chandran, S. K., Kayyal, H., Edry, E., & Rosenblum, K. (2021) · eNeuro · doi:10.1523/eneuro.0152-21.2021 · Cited by 13
Homeostatic Regulation of Interneuron Apoptosis During Cortical Development
Denaxa, M., Neves, G., Burrone, J., & Pachnis, V. (2018) · Journal of Experimental Neuroscience · doi:10.1177/1179069518784277 · Cited by 13
Computational Circuit Mechanisms Underlying Thalamic Control of AttentionPreprint
Gu, Q. L., Lam, N. H., Wimmer, R. D., Halassa, M. M., & Murray, J. D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.16.300749 · Cited by 13
Whole-brain Mapping of Inputs and Outputs of Specific Orbitofrontal Cortical Neurons in Mice
Zhang, Y., Zhang, W., Wang, L., Liu, D., Xie, T., Le, Z., Li, X., Gong, H., Xu, X., Xu, M., et al. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-024-01229-8 · Cited by 12
Flexible gating between subspaces in a neural network model of internally guided task switching
Liu, Y., & Wang, X. (2024) · Nature Communications · doi:10.1038/s41467-024-50501-y · Cited by 12
Zeppillo, T., Ali, H., Ravichandran, S., Ritter, T. C., Wenger, S., López-Murcia, F. J., Gideons, E. S., Signorelli, J. R., Schmeißer, M. J., Wiltfang, J., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06789-z · Cited by 12
Dorian, C. C., Taxidis, J., Arac, A., & Golshani, P. (2026) · Nature Communications · doi:10.1038/s41467-026-71503-y · Cited by 12
He, X., Wang, Y., Zhou, G., Yang, J., Li, J., Li, T., Hu, H., & Ma, H. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-022-00840-x · Cited by 12
Koukouli, F., Montmerle, M., Aguirre, A., van Velze, M. D. B., Peixoto, J., Choudhary, V., Varilh, M., Julio‐Kalajzić, F., Allène, C., Méndez, P., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2022.111202 · Cited by 12
Huang, T.-H., Lin, Y.-S., Hsiao, C., Wang, L.-Y., Ajibola, M. I., Abdulmajeed, W. I., Lin, Y., Li, Y., Chen, C.-Y., Lien, C., et al. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1146278 · Cited by 12
Diverse Ensembles of Inhibitory Interneurons
Crandall, S. R., & Connors, B. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.022 · Cited by 12
The effects of lead on GABAergic interneurons in rodents
Duan, Y., Peng, L., Shi, H., & Jiang, Y. (2017) · Toxicology and Industrial Health · doi:10.1177/0748233717732902 · Cited by 12
State transitions through inhibitory interneurons in a cortical network model
Bryson, A., Berkovic, S. F., Petrou, S., & Grayden, D. B. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009521 · Cited by 12
Inhibitory Units: An Organizing Nidus for Feature-Selective SubNetworks in Area V1
Palagina, G., Meyer, J. F., & Smirnakis, S. M. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2275-18.2019 · Cited by 12
Ca2+ imaging of neurons in freely moving rats with automatic post hoc histological identification
Anner, P., Passecker, J., Klausberger, T., & Dorffner, G. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108765 · Cited by 12
Cell-type-specific enhancement of deviance detection by synaptic zinc in the mouse auditory cortex
McCollum, M., Manning, A., Bender, P. T. R., Mendelson, B. Z., & Anderson, C. T. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405615121 · Cited by 11
Voltage imaging reveals hippocampal inhibitory dynamics shaping pyramidal memory-encoding sequences
Taxidis, J., Madruga, B. A., Safaryan, K., Dorian, C. C., Melin, M. D., Day, Z., Lin, M. Z., & Golshani, P. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02016-y · Cited by 11
Yang, K. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.01.001 · Cited by 11
Sukman, L. J., & Stark, E. (2022) · eNeuro · doi:10.1523/eneuro.0265-22.2022 · Cited by 11
Tang, X., Shi, J., Lin, S., He, Z., Cui, S., Di, W., Chen, S., Wu, J., Yuan, S., Ye, Q., et al. (2024) · iScience · doi:10.1016/j.isci.2024.109695 · Cited by 11
Aydın, A. G., Lemenze, A. D., & Bieszczad, K. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-74732-7 · Cited by 11
Dissecting inhibitory brain circuits with genetically-targeted technologies
Murphey, D. K., Herman, A. M., & Arenkiel, B. R. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00124 · Cited by 11
Szodorai, E., Bampali, K., Romanov, R. A., Kasper, S. F., Hökfelt, T. G. M., Ernst, M. C., Lübec, G., & Harkany, T. (2018) · Cellular Signalling · doi:10.1016/j.cellsig.2018.07.003 · Cited by 11
Warriner, C. L., Fageiry, S. K., Carmona, L. M., & Miri, A. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.07.054 · Cited by 11
Sekulić, V., Yi, F., Garrett, T. R., Guet-McCreight, A., Lopez, Y. Y., Solis-Wheeler, M., Wang, R., Liu, X., Lawrence, J. J., & Skinner, F. K. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00277 · Cited by 11
Herrmann, T., Gerth, M., Dittmann, R., Pensold, D., Ungelenk, M., Liebmann, L., & Hübner, C. A. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.807090 · Cited by 11
Interneuron diversity in the rat dentate gyrus: An unbiased in vitro classification
Degro, C. E., Bolduan, F., Vida, I., & Booker, S. A. (2022) · Hippocampus · doi:10.1002/hipo.23408 · Cited by 11
Liu, Y., Yang, X. J., Xia, H., Tang, C., & Yang, K. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.10.044 · Cited by 11
Guo, Y., Liu, Z. W., Peng, S., Duan, M. Y., Feng, J. W., Wang, W. F., Xu, Y. H., Tang, X., Zhang, X. Z., Ren, B. X., et al. (2019) · Dose-Response · doi:10.1177/1559325819895912 · Cited by 11
Guet-McCreight, A., & Skinner, F. K. (2019) · PLoS ONE · doi:10.1371/journal.pone.0209429 · Cited by 11
Jiang, S.-N., Cao, J.-W., Liu, L.-Y., Zhou, Y., Shan, G.-Y., Fu, Y.-H., Shao, Y.-C., & Yu, Y.-C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac343 · Cited by 10
Repeated stress gradually impairs auditory processing and perception
Bisharat, G., Kaganovski, E., Sapir, H., Temnogorod, A., Levy, T., & Resnik, J. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003012 · Cited by 10
The Development of Neural Inhibition across Species: Insights from the Hurst Exponent
Nishio, M., Ellwood-Lowe, M. E., Woodburn, M., McDermott, C. L., Park, A. T., Tooley, U. A., Boroshok, A. L., Grandjean, J., & Mackey, A. P. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0025-25.2025 · Cited by 10
β-Catenin Deletion in Regional Neural Progenitors Leads to Congenital Hydrocephalus in Mice
Ma, L., Du, Y., Xu, X., Feng, H., Hui, Y., Li, N., Jiang, G., Zhang, X., Li, X., & Liu, L. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00763-z · Cited by 10
Cheng, B., Sharma, D. R., Kumar, A., Sheth, H., Agyemang, A. A., Aschner, M., Zhang, X., & Ballabh, P. (2022) · Brain · doi:10.1093/brain/awac271 · Cited by 10
Strell, P., Johnson, S. T., Carchi, C., & Low, W. C. (2023) · Cell Transplantation · doi:10.1177/09636897231164712 · Cited by 10
Yuan, M., Tan, G., Cai, D., Luo, X. G., Shen, K., Deng, Q., Lei, X., Zeng, W., Luo, M., Huang, L., et al. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-024-01295-y · Cited by 10
Differential behavioral engagement of inhibitory interneuron subtypes in the zebra finch brain
Hozhabri, E., Asensio, A. C., Elmaleh, M., Kim, J. W., Phillips, M. B., Frazel, P. W., Dimidschstein, J., Fishell, G., & Long, M. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.11.003 · Cited by 10
Self-citationLayer-specific control of inhibition by NDNF interneurons
Naumann, L., Hertäg, L., Müller, J., Letzkus, J. J., & Sprekeler, H. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2408966122 · Cited by 10
Axonal Tree Morphology and Signal Propagation Dynamics Improve Interneuron Classification
Ofer, N., Shefi, O., & Yaari, G. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09466-8 · Cited by 10
Constructing graphs from genetic encodings
Barabási, D. L., & Czégel, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-92577-2 · Cited by 10
Dumontier, D., Mailhes‐Hamon, C., Supplisson, S., & Dieudonné, S. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1060189 · Cited by 10
Freire, M. A. M., Faber, J., Lemos, N. A. M., dos Santos, J. R., Cavalcanti, P. F., Lima, R. H., & Morya, E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130354 · Cited by 10
Brill, J., Mattis, J., Deisseroth, K. A., & Huguenard, J. R. (2016) · eNeuro · doi:10.1523/eneuro.0142-15.2016 · Cited by 10
Çağlayan, E. (2016) · Cell Biology International · doi:10.1002/cbin.10694 · Cited by 10
Chen, Z., & Padmanabhan, K. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00059 · Cited by 10
Petersen, P. C., Siegle, J. H., Steinmetz, N. A., Mahallati, S., & Buzsáki, G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.07.083436 · Cited by 10
Huang, Y., Liu, Z., Zhan, Z., Zhang, X., Gao, L., Wang, M., Fu, Y., Huang, L., & Yu, M. (2024) · Communications Biology · doi:10.1038/s42003-024-07296-x · Cited by 9
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes
Bos, H., Miehl, C., Oswald, A.-M. M., & Doiron, B. (2025) · eLife · doi:10.7554/elife.99808.4 · Cited by 9
Ma, G., Wu, J., Wu, Y., Yang, J., Zhang, J., Huang, Y., Tian, R., Zhou, X., Tan, X., Li, Y., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03088-9 · Cited by 9
Metadata
- Authors
- Kepecs, A., & Fishell, G.
- Venue
- Nature
- Published
- 2014-01
- Volume
- 505
- Issue
- 7483
- Pages
- 318-326
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4349583
- OpenAlex
- W1970789949
- Cited by
- 1,110
- References
- 126
- Citations by year
- 2026: 46 · 2025: 95 · 2024: 85 · 2023: 77 · 2022: 92 · 2021: 114 · 2020: 92 · 2019: 118 · 2018: 105 · 2017: 107 · 2016: 82 · 2015: 71 · 2014: 26
- FWCI
- 10.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH071679, MH095147, R01MH095147, MH071679, R37MH071679)
- National Institute of Neurological Disorders and Stroke (NS 081297, P01NS074972, R01NS075531, NS074972, R01NS081297)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- GABAergic interneurons, interneuron classification, brain circuits, inhibition, telencephalon, interneuron development
- MeSH terms
- Animals, Behavior, Humans, Interneurons, Mental Processes, Models, Neurological, Neural Pathways, Cell Lineage, Cell Proliferation
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