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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.
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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
“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]
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
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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
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Items 501–600 of 1,004
Mechanisms of Supralinear Calcium Integration in Dendrites of Hippocampal CA1 Fast-Spiking Cells
Camiré, O., Lazarevich, I. A., Gilbert, T., & Topolnik, L. (2018) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2018.00047 · Cited by 23
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 23
Inhibitory Dysfunction in Amyotrophic Lateral Sclerosis: Future Therapeutic Opportunities
Clark, R. M., Blizzard, C. A., & Dickson, T. C. (2015) · Neurodegenerative Disease Management · doi:10.2217/nmt.15.49 · Cited by 23
Development of GABAergic Interneurons in the Human Cerebral Cortex
Marín, Ó. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70136 · Cited by 22
Iida, S., Shimba, K., Sakai, K., Kotani, K., & Jimbo, Y. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.04.197 · Cited by 22
Neklyudova, A. K., Smirnov, K., Rebreikina, A. B., Martynova, O., & Sysoeva, O. (2022) · Genes · doi:10.3390/genes13040671 · Cited by 22
Deciphering inhibitory neuron development: The paths to diversity
Bandler, R. C., & Mayer, C. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102691 · Cited by 22
Jendryka, M. M., Lewin, U., van der Veen, B., Kapanaiah, S. K. T., Prex, V., Strahnen, D., Akam, T., Liss, B., Pekcec, A., Nissen, W., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02541-z · Cited by 22
In situ hybridization analyses of claustrum‐enriched genes in marmosets
Watakabe, A. (2016) · The Journal of Comparative Neurology · doi:10.1002/cne.24021 · Cited by 22
Aracri, P., Meneghini, S., Coatti, A., Amadeo, A., & Becchetti, A. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.10.045 · Cited by 22
Symmank, J., Gölling, V., Gerstmann, K., & Zimmer‐Bensch, G. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy063 · Cited by 22
Visual Processing by Calretinin Expressing Inhibitory Neurons in Mouse Primary Visual Cortex
Camillo, D., Ahmadlou, M., Saiepour, M. H., Yasaminshirazi, M., Levelt, C. N., & Heimel, J. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-30958-w · Cited by 22
Visual processing mode switching regulated by VIP cells
Lee, J. H., & Mihalaş, Ş. (2017) · Scientific Reports · doi:10.1038/s41598-017-01830-0 · Cited by 22
Sequence of Molecular Events during the Maturation of the Developing Mouse Prefrontal Cortex
Ueda, S., Niwa, M., Hioki, H., Sohn, J., Kaneko, T., Sawa, A., & Sakurai, T. (2015) · Complex Psychiatry · doi:10.1159/000430095 · Cited by 22
Parvalbumin Interneuron Plasticity for Consolidation of Reinforced LearningPreprint
Tripodi, M., Bhandari, K., Chowdhury, A., Mukherjee, A., & Caroni, P. (2018) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2018.83.037630 · Cited by 22
Torigoe, M., Yamauchi, K., Kimura, T., Uemura, Y., & Murakami, F. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3550-15.2016 · Cited by 21
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 21
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Miller, D. S., & Wright, K. M. (2021) · Neural Development · doi:10.1186/s13064-021-00153-1 · Cited by 21
Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
Hahn, G., Kumar, A., SCHMIDT, H. J., Knösche, T. R., & Deco, G. (2022) · eLife · doi:10.7554/elife.77594 · Cited by 21
Latzer, I. T., Hanson, E. M., Bertoldi, M., García‐Cazorla, À., Tsuboyama, M., MacMullin, P., Rotenberg, A., Roullet, J., & Pearl, P. L. (2023) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.15659 · Cited by 21
Top–down modulation in canonical cortical circuits with short-term plasticity
Waitzmann, F., Wu, Y. K., & Gjorgjieva, J. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2311040121 · Cited by 21
Riedemann, T., Schmitz, C., & Sutor, B. (2015) · The Journal of Comparative Neurology · doi:10.1002/cne.23948 · Cited by 21
Zhu, Q., Wei, K., He, Q., Wang, X., Zheng, R., Li, T., Luan, G., Long, Y., Liao, W., & Shu, Y. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0275-x · Cited by 21
Anderson, N. C., Zandt, M. A. V., Shrestha, S., Lawrence, D. B., Gupta, J., Chen, C. Y., Harrsch, F. A., Boyi, T., Dundes, C. E., Aaron, G. B., et al. (2018) · Stem Cell Research · doi:10.1016/j.scr.2018.10.007 · Cited by 21
Cortical synaptic architecture supports flexible sensory computations
Scholl, B., & Fitzpatrick, D. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.01.013 · Cited by 21
Categorically distinct types of receptive fields in early visual cortex
Talebi, V., & Baker, C. L. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00659.2015 · Cited by 21
Different output properties of perisomatic region‐targeting interneurons in the basal amygdala
Barsy, B., Szabo, G. G., Andrási, T., Vikór, A., & Hájos, N. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13498 · Cited by 21
Differential expression of synaptic and interneuron genes in the aging human prefrontal cortex
Mohan, A., Thalamuthu, A., Mather, K. A., Zhang, Y., Catts, V. S., Weickert, C. S., & Sachdev, P. S. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.06.011 · Cited by 21
Groblewski, P. A., Ollerenshaw, D. R., Kiggins, J. T., Garrett, M., Mochizuki, C., Casal, L., Cross, S., Mace, K. D., Swapp, J., Manavi, S., et al. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00104 · Cited by 21
Zourray, C., Kurian, M. A., Barral, S., & Lignani, G. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.839366 · Cited by 20
MTG8 interacts with LHX6 to specify cortical interneuron subtype identity
Asgarian, Z., Oliveira, M. G., Stryjewska, A., Maragkos, I., Rubin, A. N., Magno, L., Pachnis, V., Ghorbani, M., Hiebert, S. W., Denaxa, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32898-6 · Cited by 20
St18 specifies globus pallidus projection neuron identity in MGE lineage
Nunnelly, L. F., Campbell, M., Lee, D. I., Dummer, P. D., Gu, G., Menon, V., & Au, E. (2022) · Nature Communications · doi:10.1038/s41467-022-35518-5 · Cited by 20
Yarur, H. E., Casello, S. M., Tsai, V. S., Enríquez-Traba, J., Kore, R., Wang, H., Arenivar, M. A., & Tejeda, H. A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02226-5 · Cited by 20
Sekulić, V., Lawrence, J. J., & Skinner, F. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106567 · Cited by 20
Brain (Hyper)Excitability Revealed by Optimal Electrical Stimulation of GABAergic Interneurons
Wendling, F., Gerber, U. R., Cosandier‐Rimélé, D., Nica, A., de Montigny, J., Raineteau, O., Kalitzin, S., Lopes, F. H. D. S., & Benquet, P. (2016) · Brain stimulation · doi:10.1016/j.brs.2016.07.001 · Cited by 20
Larsen, Z. H., Chander, P. N., Joyner, J. A., Floruta, C. M., Demeter, T. L., & Weick, J. P. (2016) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13218 · Cited by 20
Neuronal activity controls the development of interneurons in the somatosensory cortex
Babij, R., & García, N. D. M. (2016) · Frontiers in Biology · doi:10.1007/s11515-016-1427-x · Cited by 20
McKiernan, E. C., & Marrone, D. F. (2017) · PeerJ · doi:10.7717/peerj.3836 · Cited by 20
Learning and recognition of tactile temporal sequences by mice and humans
Bale, M. R., Bitzidou, M. P., Pitas, A., Brebner, L. S., Khazim, L., Anagnou, S., Stevenson, C., & Maravall, M. (2017) · eLife · doi:10.7554/elife.27333 · Cited by 20
Hioki, H., Sohn, J., Nakamura, H., Okamoto, S., Hwang, J., Ishida, Y., Takahashi, M., & Kameda, H. (2018) · Brain Research · doi:10.1016/j.brainres.2018.05.029 · Cited by 20
Sultan, K. T., Liu, W. A., Li, Z.-L., Shen, Z., Li, Z., Zhang, X., Dean, O. R., Ma, J., & Shi, S. (2018) · Nature Communications · doi:10.1038/s41467-018-07055-7 · Cited by 20
Why context matters? Divisive normalization and canonical microcircuits in psychiatric disorders
Northoff, G., & Mushiake, H. (2019) · Neuroscience Research · doi:10.1016/j.neures.2019.10.002 · Cited by 20
Provenzano, G., Gilardoni, A., Maggia, M., Pernigo, M., Sgadó, P., Casarosa, S., & Bozzi, Y. (2020) · Genes · doi:10.3390/genes11040384 · Cited by 20
Generation of cerebral cortical GABAergic interneurons from pluripotent stem cells
Fitzgerald, M., Sotuyo, N. P., Tischfield, D. J., & Anderson, S. A. (2020) · Stem Cells · doi:10.1002/stem.3252 · Cited by 20
Dynamic properties of mitochondria during human corticogenesis
Baum, T., & Gama, V. (2021) · Development · doi:10.1242/dev.194183 · Cited by 20
Sipe, G. O., Petravicz, J., Rikhye, R. V., Garcia, R. I., Mellios, N., & Sur, M. (2021) · Glia · doi:10.1002/glia.23987 · Cited by 20
Postnatal development attunes olfactory bulb mitral cells to high-frequency signaling
Yu, Y., Burton, S. D., Tripathy, S. J., & Urban, N. N. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00315.2015 · Cited by 20
Lineage Relationships Do Not Drive MGE/PoA-Derived Interneuron Clustering in the Brain
Turrero García, M., Mazzola, E., & Harwell, C. C. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.034 · Cited by 19
Developmental programming and lineage branching of early human telencephalon
Ma, L., Du, Y., Hui, Y., Li, N., Fan, B., Zhang, X., Li, X., Hong, W., Wu, Z., Zhang, S., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2020107277 · Cited by 19
Speigel, I. A., & Hemmings, H. C. (2022) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.812905 · Cited by 19
Pathological Networks Involving Dysmorphic Neurons in Type II Focal Cortical Dysplasia
Shao, Y., Ge, Q., Yang, J., Wang, M., Zhou, Y., Guo, J.-X., Zhu, M., Shi, J., Hu, Y., Shen, L., et al. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-022-00828-7 · Cited by 19
Sung, Y., & Kaang, B. (2022) · Experimental Neurobiology · doi:10.5607/en22012 · Cited by 19
Orbitofrontal cortex populations are differentially recruited to support actions
Cazares, C., Schreiner, D. C., Valencia, M. L., & Gremel, C. M. (2022) · Current Biology · doi:10.1016/j.cub.2022.09.022 · Cited by 19
Donato, C., Victorino, D. B., Cabezas, C., Aguirre, A., Lourenço, J., Potier, M., Martín, J. Z. D. S., & Bacci, A. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1661-21.2022 · Cited by 19
Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility
Zhang, X., Mukherjee, A., Halassa, M. M., & Chen, Z. S. (2025) · Nature Communications · doi:10.1038/s41467-025-58011-1 · Cited by 19
Gao, Y., Dong, Q., Arachchilage, K. H., Risgaard, R. D., Syed, M., Sheng, J., Schmidt, D. K., Jin, T., Liu, S., Sandoval, S. O., et al. (2023) · Neuron · doi:10.1016/j.neuron.2025.04.025 · Cited by 19
Influence of emotional states on inhibitory gating: Animals models to clinical neurophysiology
Cromwell, H. C., & Atchley, R. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.05.028 · Cited by 19
Calvigioni, D., Máté, Z., Fuzik, J., Girach, F., Zhang, M., Varró, A., Beiersdorf, J., Schwindling, C., Yanagawa, Y., Dockray, G. J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw094 · Cited by 19
Blankvoort, S., Descamps, L. A. L., & Kentros, C. G. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.01.009 · Cited by 19
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Rubin, A. N., Malik, R., Cho, K. K. A., Lim, K. J., Lindtner, S., Schwartz, S. E. R., Vogt, D. L., Sohal, V. S., & Rubenstein, J. L. R. (2020) · eNeuro · doi:10.1523/eneuro.0211-20.2020 · Cited by 19
Iannone, A. F., & García, N. V. D. M. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.04.005 · Cited by 19
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Li, M., Wang, X., Yao, X., Wang, X., Chen, F., Zhang, X., Sun, S., He, F., Jia, Q., Guo, M., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.645849 · Cited by 19
Pizzo, R., O’Leary, O. F., & Cryan, J. F. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.07.021 · Cited by 19
White, C. M., Rees, C. L., Wheeler, D. W., Hamilton, D. J., & Ascoli, G. A. (2019) · Hippocampus · doi:10.1002/hipo.23165 · Cited by 19
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Bender, P. T. R., McCollum, M., Boyd-Pratt, H., Mendelson, B. Z., & Anderson, C. T. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112932 · Cited by 18
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Pavey, N., Hannaford, A. P., van den Bos, M. A. J., Kiernan, M. C., Menon, P., & Vucic, S. (2024) · Brain · doi:10.1093/brain/awae049 · Cited by 18
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Okamoto, M., Aoki, S., & Ishihara, T. (2017) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2017.08.003 · Cited by 18
Delgado, R. N., & Lim, D. A. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00373 · Cited by 18
Identification of genes regulating GABAergic interneuron maturation
Fukumoto, K., Tamada, K., Toya, T., Nishino, T., Yanagawa, Y., & Takumi, T. (2017) · Neuroscience Research · doi:10.1016/j.neures.2017.11.010 · Cited by 18
Cortical VIP+/ChAT+ interneurons: From genetics to function
Dudai, A., Yayon, N., Soreq, H., & London, M. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15263 · Cited by 18
Vaes, J. E. G., Kosmeijer, C. M., Kaal, M., van Vliet, R., Brandt, M. J. V., Benders, M. J. N. L., & Nijboer, C. H. A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms22010211 · Cited by 18
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Tejeda, H. A., Wang, H., Flores, R. J., & Yarur, H. E. (2021) · Handbook of experimental pharmacology · doi:10.1007/164_2021_440 · Cited by 18
Cadilhac, C., Bachy, I., Forget, A., Hodson, D. J., Jahannault-Talignani, C., Furley, A. J., Ayrault, O., Mollard, P., Sotelo, C., & Ango, F. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108904 · Cited by 18
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Jung, K., Chang, M., Steinecke, A., Burke, B., Choi, Y., Oisi, Y., Fitzpatrick, D., Taniguchi, H., & Kwon, H. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01380-x · Cited by 18
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Naumann, R. K., & Laurent, G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00022-1 · Cited by 18
Lee, K., Ireland, K., Bleeze, M., & Shoubridge, C. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.06.010 · Cited by 18
Sekulić, V., Chen, T.-C., Lawrence, J. J., & Skinner, F. K. (2015) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2015.00002 · Cited by 17
Reichard, J., Wolff, P., Xie, S., Zuo, K., Fullio, C. L., Du, J., Graff, S., Linde, J., Yildiz, C. B., Pitschelatow, G., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62114-0 · Cited by 17
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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
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