The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
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.
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?
In 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]
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]
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
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 1,001
Fung, S. J., Fillman, S. G., Webster, M. J., & Weickert, C. S. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.02.021 · Cited by 98
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
Rapid Rebalancing of Excitation and Inhibition by Cortical Circuitry
Moore, A. K., Weible, A. P., Balmer, T. S., Trussell, L. O., & Wehr, M. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.045 · Cited by 97
Chen, P., Lou, S., Huang, Z., Wang, Z., Shan, Q., Wang, Y., Yang, Y., Li, X., Gong, H., Jin, Y., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.033 · Cited by 99
Self-citationFrancavilla, R., Villette, V., Luo, X. M., Chamberland, S., Muñoz-Pino, E., Camiré, O., Wagner, K., Kis, V., Somogyi, P., & Topolnik, L. (2018) · Nature Communications · doi:10.1038/s41467-018-07162-5 · Cited by 96
Acute Focal Seizures Start As Local Synchronizations of Neuronal Ensembles
Wenzel, M., Hamm, J. P., Peterka, D. S., & Yuste, R. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3176-18.2019 · Cited by 96
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
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
Millman, D. J., Ocker, G. K., Caldejon, S., Kato, I., Larkin, J. D., Lee, E., Luviano, J., Nayan, C., Nguyen, T. V., North, K., et al. (2020) · eLife · doi:10.7554/elife.55130 · Cited by 94
Goff, K. M., & Goldberg, E. M. (2019) · eLife · doi:10.7554/elife.46846 · Cited by 93
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
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
Cell-type-specific nicotinic input disinhibits mouse barrel cortex during active sensing
Gasselin, C., Hohl, B., Vernet, A., Crochet, S., & Petersen, C. C. H. (2021) · Neuron · doi:10.1016/j.neuron.2020.12.018 · Cited by 90
Microcircuits for spatial coding in the medial entorhinal cortex
Tukker, J. J., Beed, P. S., Brecht, M., Kempter, R., Moser, E. I., & Schmitz, D. (2021) · Physiological Reviews · doi:10.1152/physrev.00042.2020 · Cited by 95
VIP+ interneurons control neocortical activity across brain states
Jackson, J., Ayzenshtat, I., Karnani, M., & Yuste, R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01124.2015 · Cited by 93
Snapshots of the Brain in Action: Local Circuit Operations through the Lens of γ Oscillations
Cardin, J. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1021-16.2016 · Cited by 92
From circuit motifs to computations: mapping the behavioral repertoire of cortical interneurons
Hangya, B., Pi, H.-J., Kvitsiani, D., Ranade, S., & Kepecs, Á. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.01.007 · Cited by 91
Self-citationRiga, M. S., Sánchez, C., Celada, P., & Artigas, F. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.04.023 · Cited by 91
The Challenge of Understanding the Brain: Where We Stand in 2015
Lisman, J. E. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.032 · Cited by 92
Hage, T. A., Bosma-Moody, A., Baker, C. A., Kratz, M. B., Campagnola, L., Jarsky, T., Zeng, H., & Murphy, G. J. (2022) · eLife · doi:10.7554/elife.71103 · Cited by 88
Walker, F., Möck, M., Feyerabend, M., Guy, J., Wagener, R. J., Schubert, D., Staiger, J. F., & Witte, M. (2016) · Nature Communications · doi:10.1038/ncomms13664 · Cited by 92
Activity-Dependent Modulation of Layer 1 Inhibitory Neocortical Circuits by Acetylcholine
Brombas, A., Fletcher, L. N., & Williams, S. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4470-13.2014 · Cited by 90
Modulation of Hippocampal Circuits by Muscarinic and Nicotinic Receptors
Dannenberg, H., Young, K., & Hasselmo, M. E. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00102 · Cited by 89
Sachidhanandam, S., Sermet, B. S., & Petersen, C. C. H. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.03.063 · Cited by 87
An inhibitory pull–push circuit in frontal cortex
García‐Junco‐Clemente, P., Ikrar, T., Tring, E., Xu, X., Ringach, D. L., & Trachtenberg, J. T. (2017) · Nature Neuroscience · doi:10.1038/nn.4483 · Cited by 89
Ketamine triggers a switch in excitatory neuronal activity across neocortex
Cichon, J., Wasilczuk, A. Z., Looger, L. L., Contreras, D., Kelz, M. B., & Proekt, A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01203-5 · Cited by 87
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
Cortical disinhibitory circuits: cell types, connectivity and function
Kullander, K., & Topolnik, L. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.04.009 · Cited by 86
The essential role of recurrent processing for figure-ground perception in mice
Kirchberger, L., Mukherjee, S., Schnabel, U. H., van Beest, E. H., Barsegyan, A., Levelt, C. N., Heimel, J. A., Lorteije, J. A. M., van der Togt, C., Self, M. W., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe1833 · Cited by 85
Roelfsema, P. R. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.016 · Cited by 85
Veit, J., Handy, G., Mossing, D. P., Doiron, B., & Adesnik, H. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.036 · Cited by 84
In vivo optogenetic identification and manipulation of GABAergic interneuron subtypes
Roux, L., Stark, E., Sjulson, L., & Buzsáki, G. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.013 · Cited by 84
Sensation during Active Behaviors
Busse, L., Cardin, J. A., Chiappe, M. E., Halassa, M. M., McGinley, M. J., Yamashita, T., & Saleem, A. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1828-17.2017 · Cited by 84
Vazquez, A. L., Fukuda, M., & Kim, S. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy225 · Cited by 84
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
A parameter-free statistical test for neuronal responsiveness
Montijn, J. S., Seignette, K., Howlett, M. H. C., Cazemier, J. L., Kamermans, M., Levelt, C. N., & Heimel, J. A. (2021) · eLife · doi:10.7554/elife.71969 · Cited by 83
Cohen, L., & Mizrahi, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-14.2015 · Cited by 83
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
Contextual signals in visual cortex
Khan, A. G., & Hofer, S. B. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.05.003 · Cited by 83
Layer 6b Is Driven by Intracortical Long-Range Projection Neurons
Zolnik, T. A., Ledderose, J. M. T., Toumazou, M., Trimbuch, T., Oram, T. B., Rosenmund, C., Eickholt, B. J., Sachdev, R. N. S., & Larkum, M. E. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.044 · Cited by 82
Jiang, C., Wang, X., Le, Q., Liu, P., Liu, C., Wang, Z., He, G., Zheng, P., Wang, F., & Ma, L. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0480-7 · Cited by 82
A low-cost programmable pulse generator for physiology and behavior
Sanders, J. I., & Kepecs, Á. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00043 · Cited by 80
Self-citationGABAergic interneurons: The orchestra or the conductor in fear learning and memory?
Lucas, E. K., & Clem, R. L. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.11.016 · Cited by 80
Neuroplasticity of the visual cortex: in sickness and in health
Baroncelli, L., & Lunghi, C. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2020.113515 · Cited by 79
Bombesin-Like Peptide Recruits Disinhibitory Cortical Circuits and Enhances Fear Memories
Melzer, S., Newmark, E., Mizuno, G. O., Hyun, M., Philson, A. C., Quiroli, E., Righetti, B., Gregory, M. R., Huang, K. W., Levasseur, J., et al. (2020) · Cell · doi:10.1016/j.cell.2021.09.013 · Cited by 79
GABA-A Receptor Inhibition of Local Calcium Signaling in Spines and Dendrites
Marlin, J. J., & Carter, A. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0869-13.2014 · Cited by 79
Impact of Altered Cholinergic Tones on the Neurovascular Coupling Response to Whisker Stimulation
Lecrux, C., Sandoe, C. H., Neupane, S., Kropf, P., Toussay, X., Tong, X., Lacalle‐Aurioles, M., Shmuel, A., & Hamel, É. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1784-16.2016 · Cited by 77
Naskar, S., Qi, J., Pereira, F., Gerfen, C. R., & Lee, S. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108774 · Cited by 76
Ren, C., Peng, K., Yang, R., Liu, W., Liu, C., & Komiyama, T. (2022) · Neuron · doi:10.1016/j.neuron.2022.04.031 · Cited by 79
Auditory cortex involvement in emotional learning and memory
Grosso, A., Cambiaghi, M., Concina, G., Sacco, T., & Sacchetti, B. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.04.068 · Cited by 76
Immunocytochemical markers of neuronal maturation in human diagnostic neuropathology
Sarnat, H. B. (2014) · Cell and Tissue Research · doi:10.1007/s00441-014-1988-4 · Cited by 77
Gao, W., Yang, S.-S., Mack, N. R., & Chamberlin, L. A. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01196-w · Cited by 74
Prefrontal circuit organization for executive control
Kamigaki, T. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.08.017 · Cited by 69
Rapid Neuromodulation of Layer 1 Interneurons in Human Neocortex
Poorthuis, R. B., Muhammad, K., Wang, M., Verhoog, M. B., Junek, S., Wrana, A., Mansvelder, H. D., & Letzkus, J. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.111 · Cited by 73
Hertäg, L., & Sprekeler, H. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006999 · Cited by 75
Learning prediction error neurons in a canonical interneuron circuit
Hertäg, L., & Sprekeler, H. (2020) · eLife · doi:10.7554/elife.57541 · Cited by 72
Control of fear by discrete prefrontal GABAergic populations encoding valence-specific information
Cummings, K. A., Bayshtok, S., Dong, T. N., Kenny, P. J., & Clem, R. L. (2022) · Neuron · doi:10.1016/j.neuron.2022.07.004 · Cited by 72
Mesik, L., Ma, W., Li, L., Ibrahim, L. A., Huang, Z. J., Zhang, L. I., & Tao, H. W. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00022 · Cited by 74
Self-citationGABAergic Neurons in Ferret Visual Cortex Participate in Functionally Specific Networks
Wilson, D. E., Smith, G. B., Jacob, A., Walker, T., Dimidschstein, J., Fishell, G., & Fitzpatrick, D. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.035 · Cited by 72
Nguyen, R., Venkatesan, S., Binko, M. A., Bang, J. Y., Cajanding, J. D., Briggs, C., Sargin, D., Imayoshi, I., Lambe, E. K., & Kim, J. C. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1919-19.2020 · Cited by 72
The auditory cortex and the emotional valence of sounds
Concina, G., Renna, A., Grosso, A., & Sacchetti, B. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.01.018 · Cited by 71
Inhibitory microcircuits for top-down plasticity of sensory representations
Wilmes, K. A., & Clopath, C. (2019) · Nature Communications · doi:10.1038/s41467-019-12972-2 · Cited by 71
Liu, C.-H., Coleman, J. E., Davoudi, H., Zhang, K., & Shuler, M. G. H. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.028 · Cited by 70
Nicotinic modulation of cortical circuits
Arroyo, S., Bennett, C., & Hestrin, S. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00030 · Cited by 71
Neural coding: A single neuron’s perspective
Azarfar, A., Calcini, N., Huang, C., Zeldenrust, F., & Celikel, T. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.007 · Cited by 70
Neural Circuits for Goal-Directed Sensorimotor Transformations
Crochet, S., Lee, S., & Petersen, C. C. H. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.08.011 · Cited by 69
Huntley, M. A., Srinivasan, K., Friedman, B. A., Wang, T.-M., Yee, A. X., Wang, Y., Kaminker, J. S., Sheng, M., Hansen, D. V., & Hanson, J. E. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1615-19.2019 · Cited by 69
Scheyltjens, I., & Arckens, L. (2016) · Neural Plasticity · doi:10.1155/2016/8723623 · Cited by 71
Lenz, M., & Vlachos, A. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00096 · Cited by 69
Deleuze, C., Bhumbra, G. S., Pazienti, A., Lourenço, J., Mailhes‐Hamon, C., Aguirre, A., Beato, M., & Bacci, A. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000419 · Cited by 69
An enhancer-AAV toolbox to target and manipulate distinct interneuron subtypes
Furlanis, E., Dai, M., Garcia, B. L., Tran, T. K., Vergara, J., Pereira, A., Gorissen, B. L., Wills, S., Vlachos, A., Hairston, A., et al. (2024) · Neuron · doi:10.1016/j.neuron.2025.05.002 · Cited by 68
Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 69
Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation
Mahrach, A., Chen, G., Li, N., van Vreeswijk, C., & Hansel, D. (2020) · eLife · doi:10.7554/elife.49967 · Cited by 68
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
Mechanistic flexibility of the retrosplenial cortex enables its contribution to spatial cognition
Stacho, M., & Manahan‐Vaughan, D. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.01.007 · Cited by 67
The fiber-optic imaging and manipulation of neural activity during animal behavior
Miyamoto, D., & Murayama, M. (2015) · Neuroscience Research · doi:10.1016/j.neures.2015.09.004 · Cited by 67
Brain γ‐aminobutyric acid: a neglected role in impulsivity
Hayes, D. J., Jupp, B., Sawiak, S. J., Merlo, E., Caprioli, D., & Dalley, J. W. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12485 · Cited by 67
Guet-McCreight, A., Skinner, F. K., & Topolnik, L. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00032 · Cited by 66
Interneuron Types and Their Circuits in the Basolateral Amygdala
Hájos, N. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.687257 · Cited by 66
Poorthuis, R. B., Enke, L., & Letzkus, J. J. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2014.273862 · Cited by 66
Insel, N., & Barnes, C. A. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu062 · Cited by 66
Butt, S. J. B., Stacey, J. A., Teramoto, Y., & Vagnoni, C. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.011 · Cited by 65
Movement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex
Bigelow, J., Morrill, R. J., DeKloe, J., & Hasenstaub, A. R. (2019) · eNeuro · doi:10.1523/eneuro.0164-19.2019 · Cited by 66
The lateralization of left hippocampal CA3 during the retrieval of spatial working memory
Song, D. F., Wang, D., Yang, Q., Yan, T., Wang, Z., Yan, Y., Zhao, J., Xie, Z., Liu, Y., Ke, Z., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16698-4 · Cited by 65
Griffen, T. C. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00091 · Cited by 64
Ye, H., & Kaszuba, S. V. (2017) · Journal of Biomedical Science · doi:10.1186/s12929-017-0399-8 · Cited by 63
Chemogenetic Recruitment of Specific Interneurons Suppresses Seizure Activity
Călin, A., Stancu, M., Zăgrean, A., Jefferys, J. G. R., Ilie, A. S., & Akerman, C. J. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00293 · Cited by 63
Function and Circuitry of VIP+ Interneurons in the Mouse Retina
Park, S. J. H., Borghuis, B. G., Rahmani, P., Zeng, Q., Kim, I.-J., & Demb, J. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0222-15.2015 · Cited by 62
Artinian, J., & Lacaille, J. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.11.012 · Cited by 63
COALIA: A Computational Model of Human EEG for Consciousness Research
Bensaid, S., Modolo, J., Merlet, I., Wendling, F., & Benquet, P. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00059 · Cited by 62
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
Quantitative Relationship Between Cerebrovascular Network and Neuronal Cell Types in Mice
Wu, Y.-T., Bennett, H. C., Chon, U., Vanselow, D. J., Zhang, Q., Muñoz-Castañeda, R., Cheng, K. C., Osten, P., Drew, P. J., & Kim, Y. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110978 · Cited by 61
Yuan, L., Liang, T.-Y., Deng, J., & Sun, Y.-G. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1483-18.2018 · Cited by 60
Sequential transmission of task-relevant information in cortical neuronal networks
Francis, N. A., Mukherjee, S., Koçillari, L., Panzeri, S., Babadi, B., & Kanold, P. O. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110878 · Cited by 60
OLMα2 Cells Bidirectionally Modulate Learning
Siwani, S., França, A. S. C., Mikulovic, S., Reis, A., Hilscher, M. M., Edwards, S. J., Leão, R. N., Tort, A. B. L., & Kullander, K. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.022 · Cited by 59
Dendritic error backpropagation in deep cortical microcircuitsPreprint
Sacramento, J., Costa, R. P., Bengio, Y., & Senn, W. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.00062 · Cited by 54
Top-down input modulates visual context processing through an interneuron-specific circuit
Bastos, G., Holmes, J. T., Ross, J. M., Rader, A., Gallimore, C. G., Wargo, J. A., Peterka, D. S., & Hamm, J. P. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113133 · Cited by 61
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
Hertäg, L., & Clopath, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115699119 · Cited by 57
Inhibition in the auditory cortex
Studer, F., & Barkat, T. R. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.021 · Cited by 56
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
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
