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Cortical interneurons that specialize in disinhibitory control
Open accessAbstract
In the mammalian cerebral cortex the diversity of interneuronal subtypes underlies a division of labour subserving distinct modes of inhibitory control. A unique mode of inhibitory control may be provided by inhibitory neurons that specifically suppress the firing of other inhibitory neurons. Such disinhibition could lead to the selective amplification of local processing and serve the important computational functions of gating and gain modulation. Although several interneuron populations are known to target other interneurons to varying degrees, little is known about interneurons specializing in disinhibition and their in vivo function. Here we show that a class of interneurons that express vasoactive intestinal polypeptide (VIP) mediates disinhibitory control in multiple areas of neocortex and is recruited by reinforcement signals. By combining optogenetic activation with single-cell recordings, we examined the functional role of VIP interneurons in awake mice, and investigated the underlying circuit mechanisms in vitro in auditory and medial prefrontal cortices. We identified a basic disinhibitory circuit module in which activation of VIP interneurons transiently suppresses primarily somatostatin- and a fraction of parvalbumin-expressing inhibitory interneurons that specialize in the control of the input and output of principal cells, respectively. During the performance of an auditory discrimination task, reinforcement signals (reward and punishment) strongly and uniformly activated VIP neurons in auditory cortex, and in turn VIP recruitment increased the gain of a functional subpopulation of principal neurons. These results reveal a specific cell type and microcircuit underlying disinhibitory control in cortex and demonstrate that it is activated under specific behavioural conditions.
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In the citing paper
“The targeting of SST interneurons by VIP cells appears to be a generalized motif across brain structures including somatosensory, visual, and auditory cortices, and this specific disinhibitory microcircuit is important in sensory processing that, in some circumstances, demonstrates behavioral state dependence (363, 553, 660, 905, 906, 908, 1246, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [908]
Experimental — accuracy not yet measuredIn the citing paper
“PFC in awake mice also has a basic disinhibitory circuit module in which activation of VIP+ interneurons transiently suppresses primarily SST+ and a fraction of PV+ interneurons 30.”
From Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: pathophysiological implications (2022) · cites this paper as [30]
In the citing paper
“These elements can be task-dependently recruited into larger brain networks for systems-level information processing and computation, representing their distal behavioural and cognitive functions59,60.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [60]
In the citing paper
“More recently, a number of functional studies in both hippocampus and neocortex have taken advantage of transgenic animals and modern circuit mapping tools to functionally confirm that subsets of CR- and VIP-expressing interneurons do indeed mediate circuit disinhibition by selectively targeting other interneurons over pyramidal cells (185, 363, 652, 906, 908, 1145, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [908]
In the citing paper
“Indeed, these driver lines have been successfully used in a number of recent studies to dissect circuit functions of ISIs in both hippocampus and neocortex (363, 553, 652, 906, 908, 1145, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [908]
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
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
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-citationHow Inhibition Shapes Cortical Activity
Isaacson, J. S., & Scanziani, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.027 · Cited by 1,678
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491
Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398
Pfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353
Self-citationLinearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex
Carandini, M., Heeger, D. J., & Movshon, J. A. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-21-08621.1997 · Cited by 926
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Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033
“This contrasts with Vip INs, which have low connectivity to all neurons, including pyramidal cells, but exhibit substantially stronger connectivity to Sst INs (Lee et al., 2013; Pfeffer et al., 2013; Pi et al., 2013).”
InfluentialNeuronal circuits for fear and anxiety
Tovote, P., Fadok, J. P., & Lüthi, A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3945 · Cited by 1,786
Optogenetics: 10 years of microbial opsins in neuroscience
Deisseroth, K. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4091 · Cited by 1,335
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
Madisen, L., Garner, A. R., Shimaoka, D., Chuong, A. S., Klapoetke, N. C., Li, L., van der Bourg, A., Niino, Y., Egolf, L., Monetti, C., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.022 · Cited by 1,114
Interneuron cell types are fit to function
Kepecs, A., & Fishell, G. (2014) · Nature · doi:10.1038/nature12983 · Cited by 1,110
Excitatory/Inhibitory Balance and Circuit Homeostasis in Autism Spectrum Disorders
Nelson, S. B., & Valakh, V. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.033 · Cited by 1,001
Sohal, V. S., & Rubenstein, J. L. R. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0426-0 · Cited by 988
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937
“It has recently been shown that VIP neurons also inhibit SST neurons in prefrontal and auditory cortices and that activating VIP neurons increases auditory responses (Pi et al., 2013).”
BackgroundResultSelf-citationPrinciples of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908
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
Long-range and local circuits for top-down modulation of visual cortex processing
Zhang, S., Xu, M., Kamigaki, T., Hoang Do, J. P., Chang, W.-C., Jenvay, S., Miyamichi, K., Luo, L., & Dan, Y. (2014) · Science · doi:10.1126/science.1254126 · Cited by 804
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“Several recent studies, in somatosensory, auditory, and visual cortical areas have revealed a disinhibitory pathway, the activation of which can increase the level of excitability of cortical pyramidal cells to sensory stimuli (Fu et al., 2014; Lee et al., 2013; Pi et al., 2013).”
InfluentialCortical membrane potential signature of optimal states for sensory signal detection
McGinley, M. J., David, S. V., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.038 · Cited by 728
Parvalbumin-expressing basket-cell network plasticity induced by experience regulates adult learning
Donato, F., Rompani, S. B., & Caroni, P. (2013) · Nature · doi:10.1038/nature12866 · Cited by 703
Ferguson, B. R., & Gao, W.-J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00037 · Cited by 594
Recurrent World Models Facilitate Policy EvolutionPreprint
Ha, D., & Schmidhuber, J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.01999 · Cited by 584
Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation
Harris, J. A., Hirokawa, K. E., Sorensen, S. A., Gu, H., Mills, M., Ng, L. L., Bohn, P., Mortrud, M., Ouellette, B., Kidney, J., et al. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00076 · Cited by 485
Encoding of fear learning and memory in distributed neuronal circuits
Herry, C., & Johansen, J. P. (2014) · Nature Neuroscience · doi:10.1038/nn.3869 · Cited by 474
Central gain control in tinnitus and hyperacusis
Auerbach, B. D., Rodrigues, P. V., & Salvi, R. J. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00206 · Cited by 439
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 430
Towards deep learning with segregated dendrites
Guerguiev, J., Lillicrap, T., & Richards, B. A. (2017) · eLife · doi:10.7554/elife.22901 · Cited by 422
Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity
Paul, A., Crow, M., Raudales, R., He, M., Gillis, J., & Huang, Z. J. (2017) · Cell · doi:10.1016/j.cell.2017.08.032 · Cited by 421
Self-citationThermal constraints on in vivo optogenetic manipulations
Owen, S. F., Liu, M. H., & Kreitzer, A. C. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0422-3 · Cited by 415
Arithmetic and local circuitry underlying dopamine prediction errors
Eshel, N., Bukwich, M., Rao, V., Hemmelder, V., Tian, J., & Uchida, N. (2015) · Nature · doi:10.1038/nature14855 · Cited by 401
Central Cholinergic Neurons Are Rapidly Recruited by Reinforcement Feedback
Hangya, B., Ranade, S. P., Lorenc, M., & Kepecs, A. (2015) · Cell · doi:10.1016/j.cell.2015.07.057 · Cited by 399
Self-citationGenerating Neuronal Diversity in the Mammalian Cerebral Cortex
Lodato, S., & Arlotta, P. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100814-125353 · Cited by 389
Kim, Y., Yang, G. R., Pradhan, K., Venkataraju, K. U., Bota, M., García del Molino, L. C., Fitzgerald, G., Ram, K., He, M., Levine, J. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.020 · Cited by 389
Self-citationSomatostatin-expressing neurons in cortical networks
Urban-Ciecko, J., & Barth, A. L. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.53 · Cited by 374
Parallel processing by cortical inhibition enables context-dependent behavior
Kuchibhotla, K. V., Gill, J. V., Lindsay, G. W., Papadoyannis, E. S., Field, R. E., Sten, T. H., Miller, K. D., & Froemke, R. C. (2016) · Nature Neuroscience · doi:10.1038/nn.4436 · Cited by 366
Selective information routing by ventral hippocampal CA1 projection neurons
Ciocchi, S., Passecker, J., Malagon‐Vina, H., Mikuš, N., & Klausberger, T. (2015) · Science · doi:10.1126/science.aaa3245 · Cited by 357
Circuits for Action and Cognition: A View from the Superior Colliculus
Basso, M. A., & May, P. J. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061234 · Cited by 347
Neural elements for predictive coding
Shipp, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01792 · Cited by 340
Strategies and Tools for Combinatorial Targeting of GABAergic Neurons in Mouse Cerebral Cortex
He, M., Tucciarone, J., Lee, S., Nigro, M. J., Kim, Y., Levine, J. M., Kelly, S. M., Krugikov, I., Wu, P., Chen, Y., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.021 · Cited by 339
Self-citationTools for Probing Local Circuits: High-Density Silicon Probes Combined with Optogenetics
Buzsáki, G., Stark, E., Berényi, A., Khodagholy, D., Kipke, D. R., Yoon, E., & Wise, K. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.028 · Cited by 337
Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences
Li, Y., Allen, W. E., Thompson, K. R., Tian, Q., Hsueh, B., Ramakrishnan, C., Wang, A.-C., Jennings, J. H., Adhikari, A., Halpern, C. H., et al. (2016) · Cell · doi:10.1016/j.cell.2016.05.010 · Cited by 338
Inhibition in the amygdala anxiety circuitry
Babaev, O., Chatain, C. P., & Krueger‐Burg, D. (2018) · Experimental & Molecular Medicine · doi:10.1038/s12276-018-0063-8 · Cited by 334
Microcircuits and their interactions in epilepsy: is the focus out of focus?
Paz, J. T., & Huguenard, J. R. (2015) · Nature Neuroscience · doi:10.1038/nn.3950 · Cited by 332
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Cell-Type-Specific Activity in Prefrontal Cortex during Goal-Directed Behavior
Pinto, L., & Dan, Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.021 · Cited by 323
Thalamocortical Circuit Motifs: A General Framework
Halassa, M. M., & Sherman, S. M. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.005 · Cited by 322
Circuit organization of the rodent medial prefrontal cortex
Anastasiades, P. G., & Carter, A. G. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.03.006 · Cited by 314
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 313
Layer-specific modulation of neocortical dendritic inhibition during active wakefulness
Muñoz, W., Tremblay, R., Levenstein, D., & Rudy, B. (2017) · Science · doi:10.1126/science.aag2599 · Cited by 305
Neuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303
Yan, Z., & Rein, B. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01092-3 · Cited by 300
“PFC in awake mice also has a basic disinhibitory circuit module in which activation of VIP + interneurons transiently suppresses primarily SST + and a fraction of PV + interneurons [30].”
BackgroundIbrahim, L. A., Mesik, L., Ji, X., Fang, Q., Li, H.-F., Li, Y.-T., Zingg, B., Zhang, L. I., & Tao, H. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.027 · Cited by 298
Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex
Dipoppa, M., Ranson, A., Krumin, M., Pachitariu, M., Carandini, M., & Harris, K. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.037 · Cited by 290
Neuromodulatory Correlates of Pupil Dilation
Larsen, R. S., & Waters, J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00021 · Cited by 289
Sensorimotor processing in the rodent barrel cortex
Petersen, C. C. H. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0200-y · Cited by 283
Pakan, J. M., Lowe, S. C., Dylda, E., Keemink, S. W., Currie, S. P., Coutts, C. A., & Rochefort, N. L. (2016) · eLife · doi:10.7554/elife.14985 · Cited by 282
“An appealing aspect of the disinhibitory model was the idea of a canonical circuit for gain modulation of sensory responses (Pi et al., 2013).”
BackgroundAlterations in cortical interneurons and cognitive function in schizophrenia
Dienel, S. J., & Lewis, D. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.06.020 · Cited by 281
Higher-Order Thalamocortical Inputs Gate Synaptic Long-Term Potentiation via Disinhibition
Williams, L. E., & Holtmaat, A. J. D. G. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.049 · Cited by 282
Video-rate volumetric functional imaging of the brain at synaptic resolution
Lu, R., Sun, W., Liang, Y., Kerlin, A., Bierfeld, J., Seelig, J. D., Wilson, D. E., Scholl, B., Mohar, B., Tanimoto, M., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4516 · Cited by 277
McKlveen, J. M., Myers, B., & Herman, J. P. (2015) · Journal of Neuroendocrinology · doi:10.1111/jne.12272 · Cited by 273
Large-scale imaging of cortical dynamics during sensory perception and behavior
Wekselblatt, J. B., Flister, E. D., Piscopo, D. M., & Niell, C. M. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01056.2015 · Cited by 273
Hensch, T. K., & Quinlan, E. M. (2018) · Visual Neuroscience · doi:10.1017/s0952523817000219 · Cited by 271
Amygdala Inhibitory Circuits Regulate Associative Fear Conditioning
Krabbe, S., Gründemann, J., & Lüthi, A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.006 · Cited by 268
Early emergence of cortical interneuron diversity in the mouse embryo
Mi, D., Li, Z., Lim, L., Li, M., Moissidis, M., Yang, Y., Gao, T., Hu, T. X., Pratt, T., Price, D. J., et al. (2018) · Science · doi:10.1126/science.aar6821 · Cited by 259
Flexible Sensory Representations in Auditory Cortex Driven by Behavioral Relevance
Kato, H., Gillet, S. N., & Isaacson, J. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.024 · Cited by 257
Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits
Cardin, J. A. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.07.015 · Cited by 254
Visuomotor Coupling Shapes the Functional Development of Mouse Visual Cortex
Attinger, A., Wang, B., & Keller, G. B. (2017) · Cell · doi:10.1016/j.cell.2017.05.023 · Cited by 252
Control of synaptic plasticity in deep cortical networks
Roelfsema, P. R., & Holtmaat, A. J. D. G. (2018) · Nature reviews. Neuroscience · doi:10.1038/nrn.2018.6 · Cited by 254
Reciprocal Circuits Linking the Prefrontal Cortex with Dorsal and Ventral Thalamic Nuclei
Collins, D. P., Anastasiades, P. G., Marlin, J. J., & Carter, A. G. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.024 · Cited by 247
A Systems Neuroscience Approach to Migraine
Brennan, K. C., & Pietrobon, D. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.029 · Cited by 250
Cortical circuit activity underlying sleep slow oscillations and spindles
Niethard, N., Ngo, H.-V. V., Ehrlich, I., & Born, J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805517115 · Cited by 245
Neurodevelopment, GABA System Dysfunction, and Schizophrenia
Schmidt, M. J., & Mirnics, K. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.95 · Cited by 243
Prévot, T. D., & Sibille, E. L. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0727-3 · Cited by 238
Opening Holes in the Blanket of Inhibition: Localized Lateral Disinhibition by VIP Interneurons
Karnani, M. M., Jackson, J., Ayzenshtat, I., Hamzehei Sichani, A., Manoocheri, K., Kim, S., & Yuste, R. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3646-15.2016 · Cited by 236
Differential roles of medial prefrontal subregions in the regulation of drug seeking
Moorman, D. E., James, M. H., McGlinchey, E. M., & Aston‐Jones, G. (2014) · Brain Research · doi:10.1016/j.brainres.2014.12.024 · Cited by 230
McKlveen, J. M., Morano, R. L., Fitzgerald, M., Zoubovsky, S., Cassella, S. N., Scheimann, J. R., Ghosal, S., Mahbod, P., Packard, B. A., Myers, B., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.03.2101 · Cited by 224
Ährlund‐Richter, S., Xuan, Y., van Lunteren, J. A., Kim, H., Ortiz, C., Dorocic, I. P., Meletis, K., & Carlén, M. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0354-y · Cited by 225
A distinct entorhinal cortex to hippocampal CA1 direct circuit for olfactory associative learning
Li, Y., Xu, J., Liu, Y., Zhu, J., Liu, N., Zeng, W., Huang, N., Rasch, M. J., Jiang, H., Gu, X., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4517 · Cited by 221
Learning-Related Plasticity in Dendrite-Targeting Layer 1 Interneurons
Abs, E., Poorthuis, R. B., Apelblat, D., Muhammad, K., Pardi, M. B., Enke, L., Kushinsky, D., Pu, D.-L., Eizinger, M. F., Conzelmann, K., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.001 · Cited by 223
Prediction and memory: A predictive coding account
Barron, H. C., Auksztulewicz, R., & Friston, K. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101821 · Cited by 220
Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis
Fan, X., Dong, J., Zhong, S., Wei, Y., Wu, Q., Yan, L., Yong, J., Sun, L., Wang, X., Zhao, Y., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0053-3 · Cited by 221
Tasks for inhibitory interneurons in intact brain circuits
Roux, L., & Buzsáki, G. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.09.011 · Cited by 218
Turi, G. F., Li, W.-K., Chavlis, S., Pandi, I., O’Hare, J., Priestley, J. B., Grosmark, A. D., Liao, Z., Ladow, M., Zhang, J. F., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.009 · Cited by 218
Competitive Disinhibition Mediates Behavioral Choice and Sequences in Drosophila
Jovanic, T., Schneider-Mizell, C. M., Shao, M., Masson, J., Denisov, G., Fetter, R. D., Mensh, B. D., Truman, J. W., Cardona, A., & Zlatic, M. (2016) · Cell · doi:10.1016/j.cell.2016.09.009 · Cited by 216
Inhibitory control of the excitatory/inhibitory balance in psychiatric disorders
Selten, M. M., van Bokhoven, H., & Kasri, N. N. (2018) · F1000Research · doi:10.12688/f1000research.12155.1 · Cited by 221
Khan, A. G., Poort, J., Chadwick, A., Blot, A., Sahani, M., Mrsic‐Flogel, T. D., & Hofer, S. B. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0143-z · Cited by 220
Xia, F., Richards, B. A., Tran, M. M., Josselyn, S. A., Takehara‐Nishiuchi, K., & Frankland, P. W. (2017) · eLife · doi:10.7554/elife.27868 · Cited by 212
An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity
Chen, N., Sugihara, H., & Sur, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4002 · Cited by 210
Prefrontal somatostatin interneurons encode fear memory
Cummings, K. A., & Clem, R. L. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0552-7 · Cited by 211
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Kamigaki, T., & Dan, Y. (2017) · Nature Neuroscience · doi:10.1038/nn.4554 · Cited by 208
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Metadata
- Authors
- Pi, H.-J., Hangya, B., Kvitsiani, D., Sanders, J. I., Huang, Z. J., & Kepecs, A.
- Affiliations
- Cold Spring Harbor Laboratory (US)
- Venue
- Nature
- Published
- 2013-10-06
- Volume
- 503
- Issue
- 7477
- Pages
- 521-524
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4017628
- OpenAlex
- W1992910467
- Cited by
- 1,136
- References
- 37
- Citations by year
- 2026: 72 · 2025: 98 · 2024: 76 · 2023: 77 · 2022: 91 · 2021: 111 · 2020: 91 · 2019: 102 · 2018: 98 · 2017: 97 · 2016: 83 · 2015: 79 · 2014: 55 · 2013: 5
- FWCI
- 36.32
- 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 (U01MH078844)
- National Institute of Neurological Disorders and Stroke (R01NS075531)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
- Keywords
- disinhibition, vasoactive intestinal peptide, cortical interneurons, inhibitory interneurons, somatostatin interneurons, parvalbumin interneurons, reinforcement learning, reward and punishment, auditory cortex, medial prefrontal cortex, gain modulation, optogenetic stimulation, single-unit recording, neocortex, principal neurons
- MeSH terms
- Acoustic Stimulation, Animals, Auditory Cortex, Cerebral Cortex, Discrimination, Psychological, Female, Interneurons, Male, Mice, Inbred C57BL, Neural Inhibition, Parvalbumins, Punishment, Reward, Somatostatin, Vasoactive Intestinal Peptide, Wakefulness, Prefrontal Cortex, Mice, Single-Cell Analysis, Optogenetics
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