The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
A disinhibitory microcircuit initiates critical-period plasticity in the visual cortex
Open accessAbstract
Early sensory experience instructs the maturation of neural circuitry in the cortex. This has been studied extensively in the primary visual cortex, in which loss of vision to one eye permanently degrades cortical responsiveness to that eye, a phenomenon known as ocular dominance plasticity (ODP). Cortical inhibition mediates this process, but the precise role of specific classes of inhibitory neurons in ODP is controversial. Here we report that evoked firing rates of binocular excitatory neurons in the primary visual cortex immediately drop by half when vision is restricted to one eye, but gradually return to normal over the following twenty-four hours, despite the fact that vision remains restricted to one eye. This restoration of binocular-like excitatory firing rates after monocular deprivation results from a rapid, although transient, reduction in the firing rates of fast-spiking, parvalbumin-positive (PV) interneurons, which in turn can be attributed to a decrease in local excitatory circuit input onto PV interneurons. This reduction in PV-cell-evoked responses after monocular lid suture is restricted to the critical period for ODP and appears to be necessary for subsequent shifts in excitatory ODP. Pharmacologically enhancing inhibition at the time of sight deprivation blocks ODP and, conversely, pharmacogenetic reduction of PV cell firing rates can extend the critical period for ODP. These findings define the microcircuit changes initiating competitive plasticity during critical periods of cortical development. Moreover, they show that the restoration of evoked firing rates of layer 2/3 pyramidal neurons by PV-specific disinhibition is a key step in the progression of ODP.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Sensory manipulations or drug treatments that inhibit PV cells may result in PV-mediated cortical disinhibition that creates a permissive state for ODP to occur in the presence of visual experience (Kuhlman et al., 2013;Gu et al., 2016;Sun et al., 2016;Grieco et al., 2020;Sadahiro et al., 2020).”
From Psychedelics and Neural Plasticity: Therapeutic Implications (2022) · cites this paper as Kuhlman et al., 2013
In the citing paper
“First, intact PNNs may structurally limit the robust synaptic plasticity directly upon PV-cells (48–50).”
From Prolonged Period of Cortical Plasticity upon Redox Dysregulation in Fast-Spiking Interneurons (2015) · cites this paper as [49]
In the citing paper
“Reduction in the inhibitory output of FS basket cells has been shown to reactivate plasticity in the adult visual cortex (Kuhlman et al., 2013; Kaplan et al., 2016).”
From Light reintroduction after dark exposure reactivates plasticity in adults via perisynaptic activation of MMP-9 (2017) · cites this paper as Kuhlman et al., 2013
In the citing paper
“These networks are associated with plasticity from early life throughout adulthood [70][71][72][73].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [72]
In the citing paper
“However, this potential remains in mature circuits, as sensitivity to MD can be reestablished in adult mice by suppressing GABA synthesis or reducing PVBC firing rates (465, 614).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [614]
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
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
Snakes, shapes, and gradient vector flow
Xu, C., & Prince, J. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661186 · Cited by 4,001
SINGLE-CELL RESPONSES IN STRIATE CORTEX OF KITTENS DEPRIVED OF VISION IN ONE EYE
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.1003 · Cited by 2,628
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
Armbruster, B. N., Li, X., Pausch, M. H., Herlitze, S., & Roth, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700293104 · Cited by 2,046
Experience-dependent structural synaptic plasticity in the mammalian brain
Holtmaat, A., & Svoboda, K. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2699 · Cited by 1,934
In vivo two-photon calcium imaging of neuronal networks
Stosiek, C., Garaschuk, O., Holthoff, K., & Konnerth, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1232232100 · Cited by 1,341
ScanImage: Flexible software for operating laser scanning microscopes
Pologruto, T. A., Sabatini, B. L., & Svoboda, K. (2003) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-2-13 · Cited by 1,300
Imaging large-scale neural activity with cellular resolution in awake, mobile mice
Dombeck, D. A., Khabbaz, A. N., Collman, F., Adelman, T. L., & Tank, D. W. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.003 · Cited by 1,099
Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window
Holtmaat, A. J. D. G., Bonhoeffer, T., Chow, D. K., Chuckowree, J. A., Paola, V. D., Hofer, S. B., Hübener, M., Keck, T., Knott, G. W., Lee, W.-C. A., et al. (2009) · Nature Protocols · doi:10.1038/nprot.2009.89 · Cited by 1,023
Self-citation
Cited by
Sorted by citations
Fast-spiking, parvalbumin + GABAergic interneurons: From cellular design to microcircuit function
Hu, H., Gan, J., & Jonas, P. (2014) · Science · doi:10.1126/science.1255263 · Cited by 1,197
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
“…Stony Brook University, Stony Brook, NY 11790, USA 4Departments of Cellular and Molecular Pharmacology and Physiology, University of California, San Francisco, CA 94158, USA *Correspondence: yufu@phy.ucsf.edu (Y.F.), stryker@phy.ucsf.edu (M.P.S.) http://dx.doi.org/10.1016/j.cell.2014.01.050”
BackgroundInfluentialHippocampal 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
Balancing Plasticity/Stability Across Brain Development
Takesian, A. E., & Hensch, T. K. (2013) · Progress in Brain Research · doi:10.1016/b978-0-444-63327-9.00001-1 · Cited by 667
Urban, D. J., & Roth, B. L. (2014) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010814-124803 · Cited by 699
Critical period regulation across multiple timescales
Reh, R. K., Dias, B. G., Nelson, C. A., Kaufer, D., Werker, J. F., Kolb, B., Levine, J. D., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820836117 · Cited by 492
Plasticity of Cortical Excitatory-Inhibitory Balance
Froemke, R. C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034002 · Cited by 458
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
Parvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells
Lee, S.-H., Marchionni, I., Bezaire, M., Varga, C., Danielson, N., Lovett-Barron, M., Losonczy, A., & Soltesz, I. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.034 · Cited by 358
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
Subtype-specific plasticity of inhibitory circuits in motor cortex during motor learning
Chen, S. X., Kim, A. N., Peters, A. J., & Komiyama, T. (2015) · Nature Neuroscience · doi:10.1038/nn.4049 · Cited by 335
Lensjø, K. K., Lepperød, M. E., Dick, G., Hafting, T., & Fyhn, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2504-16.2016 · Cited by 281
Hensch, T. K., & Quinlan, E. M. (2018) · Visual Neuroscience · doi:10.1017/s0952523817000219 · Cited by 271
Dynamic Brains and the Changing Rules of Neuroplasticity: Implications for Learning and Recovery
Voss, P., Thomas, M. E., Cisneros-Franco, J. M., & de Villers‐Sidani, E. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01657 · Cited by 285
Cortical Circuit Dynamics Are Homeostatically Tuned to Criticality In Vivo
Ma, Z., Turrigiano, G. G., Weßel, R., & Hengen, K. B. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.031 · Cited by 252
Functional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239
Neuronal Plasticity: Beyond the Critical Period
Hübener, M., & Bonhoeffer, T. (2014) · Cell · doi:10.1016/j.cell.2014.10.035 · Cited by 237
Perineuronal Nets Enhance the Excitability of Fast-Spiking Neurons
Balmer, T. S. (2016) · eneuro · doi:10.1523/eneuro.0112-16.2016 · Cited by 220
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
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
Sleep and synaptic down-selection
Tononi, G., & Cirelli, C. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14335 · Cited by 217
Short-Term Monocular Deprivation Alters GABA in the Adult Human Visual Cortex
Lunghi, C., Emir, U. E., Morrone, M. C., & Bridge, H. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.021 · Cited by 224
Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K. D., Wulfram Gerstner, B., Haydon, P. G., Hübener, M., Lee, H., et al. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0158 · Cited by 217
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
A cortical disinhibitory circuit for enhancing adult plasticity
Fu, Y., Kaneko, M., Tang, Y., Álvarez-Buylla, A., & Stryker, M. P. (2015) · eLife · doi:10.7554/elife.05558 · Cited by 204
Parvalbumin interneuron vulnerability and brain disorders
Ruden, J. B., Dugan, L. L., & Konradi, C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0778-9 · Cited by 194
Functional connectivity of visual cortex in the blind follows retinotopic organization principles
Striem-Amit, E., Ovadia-Caro, S., Caramazza, A., Margulies, D. S., Villringer, A., & Amedi, A. (2015) · Brain · doi:10.1093/brain/awv083 · Cited by 194
Banerjee, A., Rikhye, R. V., Breton‐Provencher, V., Tang, X., Li, C., Li, K., Runyan, C. A., Fu, Z., Jaenisch, R., & Sur, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615330113 · Cited by 182
Tuning of fast-spiking interneuron properties by an activity-dependent transcriptional switch
Dehorter, N., Ciceri, G., Bartolini, G., Lim, L., del Pino, I., & Marín, O. (2015) · Science · doi:10.1126/science.aab3415 · Cited by 169
Circuitry Underlying Experience-Dependent Plasticity in the Mouse Visual System
Hooks, B. M., & Chen, C. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.031 · Cited by 176
Favero, M., Sotuyo, N. P., Lopez, E., Kearney, J. A., & Goldberg, E. M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0193-18.2018 · Cited by 163
Microglia Elimination Increases Neural Circuit Connectivity and Activity in Adult Mouse Cortex
Liu, Y., Spangenberg, E. E., Tang, B., Holmes, T. C., Green, K. N., & Xu, X. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2140-20.2020 · Cited by 169
Self-citationCell-specific restoration of stimulus preference after monocular deprivation in the visual cortex
Rose, T., Jaepel, J., Hübener, M., & Bonhoeffer, T. (2016) · Science · doi:10.1126/science.aad3358 · Cited by 166
Donato, F., Chowdhury, A., Lahr, M., & Caroni, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.011 · Cited by 159
Toyoizumi, T., Miyamoto, H., Yazaki-Sugiyama, Y., Atapour, N., Hensch, T. K., & Miller, K. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.022 · Cited by 158
Teissier, A., Magueresse, C. L., Olusakin, J., da Costa, B. L. S. A., Stasi, A. M. D., Bacci, A., Kawasawa, Y. I., Vaidya, V. A., & Gaspar, P. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0493-2 · Cited by 160
Chen, X., Choo, H., Huang, X., Yang, X., Stone, O. J., Roth, B. L., & Jin, J. J. (2015) · ACS Chemical Neuroscience · doi:10.1021/cn500325v · Cited by 158
Owen, S. F., Berke, J. D., & Kreitzer, A. C. (2018) · Cell · doi:10.1016/j.cell.2018.01.005 · Cited by 158
Circuit Changes in Motor Cortex During Motor Skill Learning
Papale, A. E., & Hooks, B. M. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.010 · Cited by 158
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 157
Functions and dysfunctions of neocortical inhibitory neuron subtypes
Hattori, R., Kuchibhotla, K. V., Froemke, R. C., & Komiyama, T. (2017) · Nature Neuroscience · doi:10.1038/nn.4619 · Cited by 149
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140
Shifting Developmental Trajectories During Critical Periods of Brain Formation
Dehorter, N., & del Pino, I. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00283 · Cited by 143
Progressive maturation of silent synapses governs the duration of a critical period
Huang, X., Stodieck, S. K., Goetze, B., Cui, L., Wong, M. H., Wenzel, C., Hosang, L., Dong, Y., Löwel, S., & Schlüter, O. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506488112 · Cited by 136
Variance and invariance of neuronal long-term representations
Clopath, C., Bonhoeffer, T., Hübener, M., & Rose, T. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0161 · Cited by 137
Functional fission of parvalbumin interneuron classes during fast network events
Varga, C., Oijala, M., Lish, J., Szabo, G. G., Bezaire, M., Marchionni, I., Golshani, P., & Soltesz, I. (2014) · eLife · doi:10.7554/elife.04006 · Cited by 130
Modeling the Dynamic Interaction of Hebbian and Homeostatic Plasticity
Toyoizumi, T., Kaneko, M., Stryker, M. P., & Miller, K. D. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.036 · Cited by 129
Subnetwork-Specific Homeostatic Plasticity in Mouse Visual Cortex In Vivo
Barnes, S. J., Sammons, R. P., Jacobsen, R. I., Mackie, J., Keller, G. B., & Keck, T. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.010 · Cited by 123
Neural plasticity across the lifespan
Power, J. D., & Schlaggar, B. L. (2016) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.216 · Cited by 135
Neuregulin-1/ErbB4 Signaling Regulates Visual Cortical Plasticity
Sun, Y., Ikrar, T., Davis, M. F., Gong, N., Zheng, X., Luo, Z. D., Lai, C., Mei, L., Holmes, T. C., Gandhi, S. P., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.033 · Cited by 117
Self-citationKeeping your brain in balance: homeostatic regulation of network function
Wen, W., & Turrigiano, G. G. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092523-110001 · Cited by 137
CA1-projecting subiculum neurons facilitate object–place learning
Sun, Y., Jin, S., Lin, X., Chen, L., Qiao, X., Jiang, L., Zhou, P., Johnston, K. G., Golshani, P., Nie, Q. H., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0496-y · Cited by 116
Self-citationMultiple shared mechanisms for homeostatic plasticity in rodent somatosensory and visual cortex
Gainey, M. A., & Feldman, D. E. (2017) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0157 · Cited by 109
Integrating Hebbian and homeostatic plasticity: introduction
Fox, K. D., & Stryker, M. P. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0413 · Cited by 118
Inhibitory interneurons in visual cortical plasticity
van Versendaal, D., & Levelt, C. N. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2264-4 · Cited by 113
Loss of CLOCK Results in Dysfunction of Brain Circuits Underlying Focal Epilepsy
Li, P., Fu, X., Smith, N., Ziobro, J. M., Curiel, J., Tenga, M. J., Martin, B. S., Freedman, S., Rio, C. A. C.-D., Oboti, L., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.044 · Cited by 99
Davis, M. F., Figueroa Velez, D. X., Guevarra, R. P., Yang, M. C., Habeeb, M., Carathedathu, M. C., & Gandhi, S. P. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.062 · Cited by 97
Adult cortical plasticity following injury: Recapitulation of critical period mechanisms?
Nahmani, M., & Turrigiano, G. G. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.04.029 · Cited by 97
Keck, T., Hübener, M., & Bonhoeffer, T. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.003 · Cited by 93
“This shift can occur through adjusting the number of synapses of each type (12,14,16,26), the relative strength of those synapses (11,13–15)(Figure 1B), or the firing rate of the inhibitory neurons themselves (11,27).”
Target-cell-specific short-term plasticity in local circuits
Blackman, A. V., Abrahamsson, T., Costa, R. P., Lalanne, T., & Sjöström, P. J. (2013) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2013.00011 · Cited by 100
Prolonged Period of Cortical Plasticity upon Redox Dysregulation in Fast-Spiking Interneurons
Morishita, H., Cabungcal, J.-H., Chen, Y., Do, K. Q., & Hensch, T. K. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.12.026 · Cited by 92
Thalamic inhibition regulates critical-period plasticity in visual cortex and thalamus
Sommeijer, J.-P., Ahmadlou, M., Saiepour, M. H., Seignette, K., Min, R., Heimel, J. A., & Levelt, C. N. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0002-3 · Cited by 89
Murase, S., Lantz, C. L., & Quinlan, E. M. (2017) · eLife · doi:10.7554/elife.27345 · Cited by 87
Petrus, E., Rodriguez, G., Patterson, R., Connor, B., Kanold, P. O., & Lee, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4975-14.2015 · Cited by 88
Rapid homeostasis by disinhibition during whisker map plasticity
Li, L., Gainey, M. A., Goldbeck, J. E., & Feldman, D. E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312455111 · Cited by 88
Heterosynaptic Plasticity Determines the Set Point for Cortical Excitatory-Inhibitory Balance
Field, R. E., D’amour, J. A., Tremblay, R., Miehl, C., Rudy, B., Gjorgjieva, J., & Froemke, R. C. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.002 · Cited by 91
Critical periods of brain development
(2020) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-64150-2.00009-5 · Cited by 84
Cortical plasticity induced by transplantation of embryonic somatostatin or parvalbumin interneurons
Tang, Y., Stryker, M. P., Álvarez-Buylla, A., & Espinosa, J. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421844112 · Cited by 88
Xu, X., Olivas, N. D., Ikrar, T., Peng, T., Holmes, T. C., Nie, Q., & Shi, Y. (2016) · The Journal of Physiology · doi:10.1113/jp271891 · Cited by 83
Self-citationRegulation of thyroid-disrupting chemicals to protect the developing brain
Gilbert, M. E., O’Shaughnessy, K. L., & Axelstad, M. (2020) · Endocrinology · doi:10.1210/endocr/bqaa106 · Cited by 83
Local Integration Accounts for Weak Selectivity of Mouse Neocortical Parvalbumin Interneurons
Scholl, B., Pattadkal, J. J., Dilly, G. A., Priebe, N. J., & Zemelman, B. V. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.030 · Cited by 83
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
Psychedelics and Neural Plasticity: Therapeutic Implications
Grieco, S. F., Castrén, E., Knudsen, G. M., Kwan, A. C., Olson, D. E., Zuo, Y., Holmes, T. C., & Xu, X. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.1121-22.2022 · Cited by 82
“Sensory manipulations or drug treatments that inhibit PV cells may result in PV-mediated cortical disinhibition that creates a permissive state for ODP to occur in the presence of visual experience (Kuhlman et al., 2013; Gu et al., 2016; Sun et al., 2016; Grieco et al., 2020; Sadahiro et al., 2020).”
Self-citationAngelman Syndrome: From Mouse Models to Therapy
Rotaru, D. C., Mientjes, E., & Elgersma, Y. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.02.017 · Cited by 83
O’Hare, J. K., Li, H., Kim, N., Gaidis, E., Ade, K. K., Beck, J. M., Yin, H. H., & Calakos, N. (2017) · eLife · doi:10.7554/elife.26231 · Cited by 87
Regulation of Perineuronal Nets in the Adult Cortex by the Activity of the Cortical Network
Devienne, G. F., Picaud, S., Cohen, I., Piquet, J., Tricoire, L., Testa, D., Nardo, A. A. D., Rossier, J., Cauli, B., & Lambolez, B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0434-21.2021 · Cited by 92
GABAergic 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
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
Chondroitin Sulfate Is Required for Onset and Offset of Critical Period Plasticity in Visual Cortex
Hou, X., Yoshioka, N., Tsukano, H., Sakai, A., Miyata, S., Watanabe, Y., Yanagawa, Y., Sakimura, K., Takeuchi, K., Kitagawa, H., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-04007-x · Cited by 83
Neuromodulatory control of localized dendritic spiking in critical period cortex
Yaeger, C. E., Ringach, D. L., & Trachtenberg, J. T. (2019) · Nature · doi:10.1038/s41586-019-0963-3 · Cited by 76
Self-citationGu, Y., Tran, T., Murase, S., Borrell, A., Kirkwood, A., & Quinlan, E. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4242-15.2016 · Cited by 77
Critical Period Plasticity as a Framework for Psychedelic-Assisted Psychotherapy
Lepow, L., Morishita, H., & Yehuda, R. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.710004 · Cited by 79
Gainey, M. A., Aman, J. W., & Feldman, D. E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3628-17.2018 · Cited by 74
Harding-Forrester, S., & Feldman, D. E. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00004-8 · Cited by 77
Plasticity of Binocularity and Visual Acuity Are Differentially Limited by Nogo Receptor
Stephany, C.-É., Chan, L. L.-H., Parivash, S. N., Dorton, H. M., Piechowicz, M., Qiu, S., & McGee, A. W. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0545-14.2014 · Cited by 72
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
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
The plasticitome of cortical interneurons
McFarlan, A. R., Chou, C. Y. C., Watanabe, A., Cherepacha, N., Haddad, M. G., Owens, H., & Sjöström, P. J. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00663-9 · Cited by 74
Learning excitatory-inhibitory neuronal assemblies in recurrent networks
Mackwood, O., Naumann, L., & Sprekeler, H. (2021) · eLife · doi:10.7554/elife.59715 · Cited by 64
The generation of cortical novelty responses through inhibitory plasticity
Schulz, A., Miehl, C., Berry, M. J., & Gjorgjieva, J. (2021) · eLife · doi:10.7554/elife.65309 · Cited by 64
Perineuronal nets control visual input via thalamic recruitment of cortical PV interneurons
Faini, G., Aguirre, A., Landi, S., Lamers, D., Pizzorusso, T., Ratto, G. M., Deleuze, C., & Bacci, A. (2018) · eLife · doi:10.7554/elife.41520 · Cited by 74
Schmid, F., Wachsmuth, L., Schwalm, M., Prouvot, P.-H., Jubal, E. R., Fois, C., Pramanik, G. K., Zimmer, C., Faber, C., & Stroh, A. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15619428 · Cited by 63
Single-nucleus RNA sequencing of mouse auditory cortex reveals critical period triggers and brakes
Kalish, B. T., Barkat, T. R., Diel, E. E., Zhang, E. J., Greenberg, M. E., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1920433117 · Cited by 63
Griffen, T. C. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00091 · Cited by 64
Mouse vision as a gateway for understanding how experience shapes neural circuits
Priebe, N. J., & McGee, A. W. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00123 · Cited by 68
Hafner, G., Witte, M., Guy, J., Subhashini, N., Fenno, L. E., Ramakrishnan, C., Kim, Y. S., Deisseroth, K. A., Callaway, E. M., Oberhuber, M., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.064 · Cited by 63
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
Neuregulin 1: an intriguing therapeutic target for neurodevelopmental disorders
Shi, L., & Bergson, C. M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00868-5 · Cited by 60
Subanesthetic Ketamine Reactivates Adult Cortical Plasticity to Restore Vision from Amblyopia
Grieco, S. F., Qiao, X., Zheng, X., Liu, Y., Chen, L., Zhang, H., Yu, Z., Gavornik, J. P., Lai, C., Gandhi, S. P., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.008 · Cited by 60
Self-citation
Metadata
- Authors
- Kuhlman, S. J., Olivas, N. D., Tring, E., Ikrar, T., Xu, X., & Trachtenberg, J. T.
- Affiliations
- University of California, Los Angeles (US)
- University of California, Irvine (US)
- Corresponding author
- Xu, Xiangmin
- Trachtenberg, Joshua T.
- Venue
- Nature
- Published
- 2013-08-25
- Volume
- 501
- Issue
- 7468
- Pages
- 543-546
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3962838
- OpenAlex
- W2065582606
- Cited by
- 412
- References
- 47
- Citations by year
- 2026: 12 · 2025: 28 · 2024: 19 · 2023: 31 · 2022: 25 · 2021: 38 · 2020: 44 · 2019: 38 · 2018: 35 · 2017: 42 · 2016: 31 · 2015: 33 · 2014: 30 · 2013: 6
- FWCI
- 17.95
- 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)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Drug Abuse (R00DA023700)
- National Eye Institute (EY016052, R01EY016052, R01EY023871)
- National Institute of Neurological Disorders and Stroke (R01NS078434, NS078434)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- ocular dominance plasticity, parvalbumin interneurons, critical period, primary visual cortex, monocular deprivation, cortical inhibition, disinhibition, fast-spiking interneurons, sensory deprivation, inhibitory interneurons, eye development
- MeSH terms
- Animals, Critical Period, Psychological, Female, Interneurons, Lasers, Male, Neural Inhibition, Neuronal Plasticity, Parvalbumins, Photic Stimulation, Sensory Deprivation, Visual Cortex, Vision, Binocular, Vision, Monocular, Dominance, Ocular, Mice
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
