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.
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?
PFC in awake mice has a disinhibitory circuit module in which activation of VIP+ interneurons transiently suppresses primarily SST+ and a fraction of PV+ interneurons.
“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]
These elements can be task-dependently recruited into larger brain networks for systems-level information processing and computation, representing their distal behavioural and cognitive functions.
“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]
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.
“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]
These driver lines have been successfully used in a number of recent studies to dissect circuit functions of ISIs in both hippocampus and neocortex.
“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]
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.
“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]
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
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · 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-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 · see citing works
A disinhibitory microcircuit for associative fear learning in the auditory cortex
Letzkus, J. J., Wolff, S. B. E., Meyer, E. M. M., Tovote, P., Courtin, J., Herry, C., & Lüthi, A. (2011) · Nature · doi:10.1038/nature10674 · Cited by 840 · see citing works
Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells
Silberberg, G., & Markram, H. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.012 · Cited by 768 · see citing works
Quantitative measures of cluster quality for use in extracellular recordings
Schmitzer-Torbert, N. C., Jackson, J. C., Henze, D. A., Harris, K., & Redish, A. D. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2004.09.066 · Cited by 642 · see citing works
Reliability and State Dependence of Pyramidal Cell–Interneuron Synapses in the Hippocampus
Csicsvari, J., Hirase, H., Czurko, A., & Buzsáki, G. (1998) · Neuron · doi:10.1016/s0896-6273(00)80525-5 · Cited by 606 · see citing works
Chattopadhyaya, B., Di Cristo, G., Higashiyama, H., Knott, G. W., Kuhlman, S. J., Welker, E., & Huang, Z. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1851-04.2004 · Cited by 596 · see citing works
Self-citationActivation 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
Self-citationDistinct behavioural and network correlates of two interneuron types in prefrontal cortex
Kvitsiani, D., Ranade, S., Hangya, B., Taniguchi, H., Huang, J. Z., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12176 · Cited by 516 · see citing works
Self-citationThe Microbial Opsin Family of Optogenetic Tools
Zhang, F., Vierock, J., Yizhar, O., Fenno, L. E., Tsunoda, S. P., Kianianmomeni, A., Prigge, M., Berndt, A., Cushman, J. C., Polle, J. E. W., et al. (2011) · Cell · doi:10.1016/j.cell.2011.12.004 · Cited by 512 · see citing works
Molecular Composition of the Endocannabinoid System at Glutamatergic Synapses
Katona, I., Urbán, G. M., Wallace, M., Ledent, C., Jung, K.-M., Piomelli, D., Mackie, K., & Freund, T. F. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0309-06.2006 · Cited by 511 · see citing works
Oliva, A. A., Jiang, M., Lam, T., Smith, K. L., & Swann, J. W. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-09-03354.2000 · Cited by 498 · see citing works
Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex
Gentet, L. J., Kremer, Y., Taniguchi, H., Huang, Z. J., Staiger, J. F., & Petersen, C. C. H. (2012) · Nature Neuroscience · doi:10.1038/nn.3051 · Cited by 438 · see citing works
Self-citationXu, X., Roby, K. D., & Callaway, E. M. (2010) · Journal of Comparative Neurology · doi:10.1002/cne.22229 · Cited by 429 · see citing works
Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex
Kapfer, C., Glickfeld, L. L., Atallah, B. V., & Scanziani, M. (2007) · Nature Neuroscience · doi:10.1038/nn1909 · Cited by 427 · 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
Salinas, E., & Thier, P. (2000) · Neuron · doi:10.1016/s0896-6273(00)00004-0 · Cited by 400 · see citing works
Cell-type-dependent molecular composition of the axon initial segment
Lorincz, A., & Nusser, Z. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4833-08.2008 · Cited by 382 · see citing works
Neocortical Somatostatin-Expressing GABAergic Interneurons Disinhibit the Thalamorecipient Layer 4
Xu, H., Jeong, H.-Y., Tremblay, R., & Rudy, B. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.004 · Cited by 366 · see citing works
Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Williford, T., & Maunsell, J. H. R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01207.2005 · Cited by 353 · see citing works
The organization of two new cortical interneuronal circuits
Jiang, X., Wang, G., Lee, A. J., Stornetta, R. L., & Zhu, J. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3305 · Cited by 338 · see citing works
Acsády, L., Görcs, T. J., & Freund, T. F. (1996) · Neuroscience · doi:10.1016/0306-4522(95)00609-5 · Cited by 310 · see citing works
Selective Cholinergic Modulation of Cortical GABAergic Cell Subtypes
Kawaguchi, Y. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.3.1743 · Cited by 250 · see citing works
Varga, V., Hangya, B., Kránitz, K., Ludányi, A., Zemankovics, R., Katona, I., Shigemoto, R., Freund, T. F., & Borhegyi, Z. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.155242 · Cited by 166 · see citing works
Self-citationCell-type-specific modulation of neocortical activity by basal forebrain input
Alitto, H. J., & Dan, Y. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00079 · Cited by 156 · see citing works
Arroyo, S., Bennett, C., Aziz, D., Brown, S. P., & Hestrin, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0115-12.2012 · Cited by 138 · see citing works
Dávid, C., Schleicher, A., Zuschratter, W., & Staiger, J. F. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05496.x · Cited by 120 · see citing works
Hájos, N., Acsády, L., & Freund, T. F. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01604.x · Cited by 103 · see citing works
Paspalas, C. D., & Papadopoulos, G. (2001) · Brain Research · doi:10.1016/s0006-8993(00)03193-0 · Cited by 39 · see citing works
Flagged first, then by citations
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
“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 · see citing works
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 · see citing works
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 · see citing works
Interneuron cell types are fit to function
Kepecs, A., & Fishell, G. (2014) · Nature · doi:10.1038/nature12983 · Cited by 1,110 · see citing works
Self-citationSohal, V. S., & Rubenstein, J. L. R. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0426-0 · Cited by 988 · see citing works
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 · see citing works
“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 · see citing works
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
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 · see citing works
“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).”
InfluentialLong-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 · see citing works
Cortical 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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Somatostatin-expressing neurons in cortical networks
Urban-Ciecko, J., & Barth, A. L. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.53 · Cited by 374 · see citing works
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 · see citing works
Self-citationStrategies 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 · see citing works
Self-citationCell-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 · see citing works
Neural elements for predictive coding
Shipp, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01792 · Cited by 340 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Yan, Z., & Rein, B. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01092-3 · Cited by 300 · see citing works
“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].”
BackgroundVisuomotor 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 · see citing works
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 · see citing works
“An appealing aspect of the disinhibitory model was the idea of a canonical circuit for gain modulation of sensory responses (Pi et al., 2013).”
BackgroundMcKlveen, J. M., Myers, B., & Herman, J. P. (2015) · Journal of Neuroendocrinology · doi:10.1111/jne.12272 · Cited by 273 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
The diversity of GABAergic neurons and neural communication elements
Huang, Z. J., & Paul, A. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0195-4 · Cited by 201 · see citing works
Self-citationPrönneke, A., Scheuer, B., Wagener, R. J., Möck, M., Witte, M., & Staiger, J. F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv202 · Cited by 204 · see citing works
Delay activity of specific prefrontal interneuron subtypes modulates memory-guided behavior
Kamigaki, T., & Dan, Y. (2017) · Nature Neuroscience · doi:10.1038/nn.4554 · Cited by 208 · see citing works
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 · see citing works
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 · see citing works
Distinct Roles of Parvalbumin- and Somatostatin-Expressing Interneurons in Working Memory
Kim, D., Jeong, H., Lee, J., Ghim, J.-W., Her, E. S., Lee, S.-H., & Jung, M. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.023 · Cited by 201 · see citing works
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 · see citing works
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 · see citing works
Canetta, S., Bolkan, S., Padilla-Coreano, N., Song, L. J., Sahn, R., Harrison, N. L., Gordon, J. A., Brown, A., & Kellendonk, C. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.222 · Cited by 201 · see citing works
A blanket of inhibition: functional inferences from dense inhibitory connectivity
Karnani, M. M., Agetsuma, M., & Yuste, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.015 · Cited by 188 · see citing works
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 · see citing works
Somatostatin-Expressing Inhibitory Interneurons in Cortical Circuits
Yavorska, I., & Wehr, M. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00076 · Cited by 185 · see citing works
Cooperative subnetworks of molecularly similar interneurons in mouse neocortex
Karnani, M. M., Jackson, J., Ayzenshtat, I., Tucciarone, J., Manoocheri, K., Snider, W. G., & Yuste, R. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.037 · Cited by 196 · see citing works
The Diversity of Cortical Inhibitory Synapses
Kubota, Y., Karube, F., Nomura, M., & Kawaguchi, Y. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00027 · Cited by 180 · see citing works
Sensory experience regulates cortical inhibition by inducing IGF1 in VIP neurons
Mardinly, A. R., Spiegel, I., Patrizi, A., Centofante, E., Bazinet, J. E., Tzeng, C. P., Mandel-Brehm, C., Harmin, D. A., Adesnik, H., Fagiolini, M., et al. (2016) · Nature · doi:10.1038/nature17187 · Cited by 176 · see citing works
Inhibitory Gating of Basolateral Amygdala Inputs to the Prefrontal Cortex
McGarry, L. M., & Carter, A. G. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0874-16.2016 · Cited by 169 · see citing works
Neuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165 · see citing works
A Disinhibitory Microcircuit Mediates Conditioned Social Fear in the Prefrontal Cortex
Xu, H., Liu, L., Tian, Y., Wang, J., Li, J., Zheng, J., Zhao, H., He, M., Xu, T.-L., Duan, S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.02.026 · Cited by 181 · see citing works
Structured dendritic inhibition supports branch-selective integration in CA1 pyramidal cells
Bloss, E. B., Cembrowski, M. S., Karsh, B., Colonell, J., Fetter, R. D., & Spruston, N. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.029 · Cited by 164 · see citing works
Orsini, C. A., Moorman, D. E., Young, J. W., Setlow, B., & Floresco, S. B. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.04.009 · Cited by 153 · see citing works
A dendritic disinhibitory circuit mechanism for pathway-specific gating
Yang, G. R., Murray, J. D., & Wang, X.-J. (2016) · Nature Communications · doi:10.1038/ncomms12815 · Cited by 148 · see citing works
Inhibitory engrams in perception and memory
Barron, H. C., Vogels, T. P., Behrens, T. E., & Ramaswami, M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701812114 · Cited by 147 · see citing works
Complementary networks of cortical somatostatin interneurons enforce layer specific control
Naka, A., Veit, J., Shababo, B., Chance, R. K., Risso, D., Stafford, D., Snyder, B., Egladyous, A., Chu, D., Sridharan, S., et al. (2019) · eLife · doi:10.7554/elife.43696 · Cited by 117 · see citing works
Activity regulates cell death within cortical interneurons through a Calcineurin-dependent mechanism
Priya, R., Paredes, M. F., Karayannis, T., Yusuf, N., Liu, X., Jaglin, X., Graef, I., Alvarez-Buylla, A., & Fishell, G. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.007 · Cited by 127 · see citing works
Developmental Dysfunction of VIP Interneurons Impairs Cortical Circuits
Batista-Brito, R., Vinck, M., Ferguson, K. A., Chang, J. T., Laubender, D., Lur, G., Mossner, J. M., Hernandez, V. G., Ramakrishnan, C., Deisseroth, K., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.034 · Cited by 135 · see citing works
Comparative density of CCK- and PV-GABA cells within the cortex and hippocampus
Whissell, P. D., Cajanding, J. D., Fogel, N., & Kim, J. C. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00124 · Cited by 118 · see citing works
Cortical Interneurons Differentially Shape Frequency Tuning following Adaptation
Natan, R. G., Rao, W., & Geffen, M. N. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.012 · Cited by 125 · see citing works
Granger, A. J., Wang, W., Robertson, K., El-Rifai, M., Zanello, A. F., Bistrong, K., Saunders, A., Chow, B. W., Nuñez, V., Turrero García, M., et al. (2020) · eLife · doi:10.7554/elife.57749 · Cited by 124 · see citing works
Toward a Genetic Dissection of Cortical Circuits in the Mouse
Huang, Z. J. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.041 · Cited by 123 · see citing works
Self-citationInan, M., Zhao, M., Manuszak, M., Karakaya, C., Rajadhyaksha, A. M., Pickel, V. M., Schwartz, T. H., Goldstein, P. A., & Manfredi, G. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.04.004 · Cited by 118 · see citing works
Inhibitory Actions Unified by Network Integration
Seybold, B. A., Phillips, E. A. K., Schreiner, C. E., & Hasenstaub, A. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.013 · Cited by 118 · see citing works
D'Souza, R. D., Meier, A. M., Bista, P., Wang, Q., & Burkhalter, A. (2016) · eLife · doi:10.7554/elife.19332 · Cited by 100 · see citing works
Sensory inputs control the integration of neurogliaform interneurons into cortical circuits
De Marco García, N. V., Priya, R., Tuncdemir, S. N., Fishell, G., & Karayannis, T. (2015) · Nature Neuroscience · doi:10.1038/nn.3946 · Cited by 117 · see citing works
Sun, Q., Li, X., Li, A., Zhang, J., Ding, Z., Gong, H., & Luo, Q. (2020) · iScience · doi:10.1016/j.isci.2020.100894 · Cited by 105 · see citing works
Lee, A. T., Cunniff, M. M., See, J. Z., Wilke, S. A., Luongo, F. J., Ellwood, I. T., Ponnavolu, S., & Sohal, V. S. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.001 · Cited by 97 · see citing works
A disinhibitory circuit motif and flexible information routing in the brain
Wang, X.-J., & Yang, G. R. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.01.002 · Cited by 113 · see citing works
Paradoxical somatodendritic decoupling supports cortical plasticity during REM sleep
Aime, M., Calcini, N., Borsa, M., Campelo, T., Rusterholz, T., Sattin, A., Fellin, T., & Adamantidis, A. (2022) · Science · doi:10.1126/science.abk2734 · Cited by 106 · see citing works
Genetic dissection of GABAergic neural circuits in mouse neocortex
Taniguchi, H. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00008 · Cited by 106 · see citing works
A biophysical account of multiplication by a single neuron
Groschner, L. N., Malis, J. G., Zuidinga, B., & Borst, A. (2022) · Nature · doi:10.1038/s41586-022-04428-3 · Cited by 94 · see citing works
Lee, A. J., Wang, G., Jiang, X., Johnson, S. M., Hoang, E. T., Lanté, F., Stornetta, R. L., Beenhakker, M. P., Shen, Y., & Julius Zhu, J. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu020 · Cited by 94 · see citing works
Berryer, M. H., Chattopadhyaya, B., Xing, P., Riebe, I., Bosoi, C., Sanon, N., Antoine-Bertrand, J., Lévesque, M., Avoli, M., Hamdan, F. F., et al. (2016) · Nature Communications · doi:10.1038/ncomms13340 · Cited by 93 · see citing works
The role of interneurons in autism and Tourette Syndrome
Rapanelli, M., Frick, L. R., & Pittenger, C. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.05.004 · Cited by 93 · see citing works
Goff, K. M., & Goldberg, E. M. (2019) · eLife · doi:10.7554/elife.46846 · Cited by 93 · see citing works
Revisiting enigmatic cortical calretinin-expressing interneurons
Cauli, B., Zhou, X., Tricoire, L., Toussay, X., & Staiger, J. F. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00052 · Cited by 86 · see citing works
Obermayer, J., Luchicchi, A., Heistek, T. S., de Kloet, S. F., Terra, H., Bruinsma, B., Mnie-Filali, O., Kortleven, C., Galakhova, A. A., Khalil, A. J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13244-9 · Cited by 83 · see citing works
Cajigas, I., Chakraborty, A., Swyter, K. R., Luo, H., Bastidas, M., Nigro, M., Morris, E. R., Chen, S., VanGompel, M. J. W., Leib, D., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.07.024 · Cited by 82 · see citing works
Lagler, M., Ozdemir, A. T., Lagoun, S., Malagon-Vina, H., Borhegyi, Z., Hauer, R., Jelem, A., & Klausberger, T. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.010 · Cited by 67 · see citing works
Yamagata, T., Ogiwara, I., Mazaki, E., Yanagawa, Y., & Yamakawa, K. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.08.013 · Cited by 57 · see citing works
Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo
El-Boustani, S., & Sur, M. (2014) · Nature Communications · doi:10.1038/ncomms6689 · Cited by 61 · see citing works
Neurogliaform cortical interneurons derive from cells in the preoptic area
Niquille, M., Limoni, G., Markopoulos, F., Cadilhac, C., Prados, J., Holtmaat, A., & Dayer, A. (2018) · eLife · doi:10.7554/elife.32017 · Cited by 55 · see citing works
Cortical Control of Spatial Resolution by VIP<sup>+</sup>Interneurons
Ayzenshtat, I., Karnani, M. M., Jackson, J., & Yuste, R. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1920-16.2016 · Cited by 50 · see citing works
Dasgupta, R., Seibt, F., & Beierlein, M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0566-18.2018 · Cited by 47 · see citing works
Inhibitory Neurons: Vip Cells Hit the Brake on Inhibition
Pfeffer, C. K. (2014) · Current Biology · doi:10.1016/j.cub.2013.11.001 · Cited by 43 · see citing works
A cell-type-specific error-correction signal in the posterior parietal cortex
Green, J., Bruno, C. A., Traunmüller, L., Ding, J., Hrvatin, S., Wilson, D. E., Khodadad, T., Samuels, J., Greenberg, M. E., & Harvey, C. D. (2023) · Nature · doi:10.1038/s41586-023-06357-1 · Cited by 43 · see citing works
Pathways for Contextual Memory: The Primate Hippocampal Pathway to Anterior Cingulate Cortex
Wang, J., John, Y., & Barbas, H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa333 · Cited by 39 · see citing works
Bistable parvalbumin circuits pivotal for brain plasticity
Hensch, T. K. (2014) · Cell · doi:10.1016/j.cell.2013.12.034 · Cited by 39 · see citing works
Pennartz, C. M. A., Oude Lohuis, M. N., & Olcese, U. (2023) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2022.0336 · Cited by 38 · see citing works
Altered patterning of trisomy 21 interneuron progenitors
Giffin-Rao, Y., Sheng, J., Strand, B., Xu, K., Huang, L., Medo, M., Risgaard, K. A., Dantinne, S., Mohan, S., Keshan, A., et al. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.05.001 · Cited by 38 · see citing works
Mineur, Y. S., Mose, T. N., Maibom, K. L., Pittenger, S. T., Soares, A. R., Wu, H., Taylor, S. R., Huang, Y., & Picciotto, M. R. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01749-7 · Cited by 36 · see citing works
Pala, A., & Petersen, C. C. (2018) · eLife · doi:10.7554/elife.35869 · Cited by 31 · see citing works
Perception is associated with the brain’s metabolic response to sensory stimulation
DiNuzzo, M., Mangia, S., Moraschi, M., Mascali, D., Hagberg, G. E., & Giove, F. (2022) · eLife · doi:10.7554/elife.71016 · Cited by 25 · see citing works
Zhou, X., Mansori, I., Fischer, T., Witte, M., & Staiger, J. F. (2020) · Journal of Comparative Neurology · doi:10.1002/cne.24756 · Cited by 18 · see citing works
Newton, D. F., Oh, H., Shukla, R., Misquitta, K., Fee, C., Banasr, M., & Sibille, E. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.10.015 · Cited by 19 · see citing works
Obermayer, J., Luchicchi, A., de Kloet, S. F., Terra, H., Bruinsma, B., Heistek, T. S., Mnie-Filali, O., Kortleven, C., Kroon, T., Jonker, A. J., et al. (2018) · doi:10.1101/461723 · Cited by 83 · see citing works
Rethinking Predictive Processing
Furutachi, S., & Hofer, S. B. (2026) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-102124-031410 · Cited by 3 · see citing works
- 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
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