The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Bidirectional plasticity in fast-spiking GABA circuits by visual experience
Abstract
Experience-dependent plasticity in the brain requires balanced excitation-inhibition. How individual circuit elements contribute to plasticity outcome in complex neocortical networks remains unknown. Here we report an intracellular analysis of ocular dominance plasticity-the loss of acuity and cortical responsiveness for an eye deprived of vision in early life. Unlike the typical progressive loss of pyramidal-cell bias, direct recording from fast-spiking cells in vivo reveals a counterintuitive initial shift towards the occluded eye followed by a late preference for the open eye, consistent with a spike-timing-dependent plasticity rule for these inhibitory neurons. Intracellular pharmacology confirms a dynamic switch of GABA (gamma-aminobutyric acid) impact to pyramidal cells following deprivation in juvenile mice only. Together these results suggest that the bidirectional recruitment of an initially binocular GABA circuit may contribute to experience-dependent plasticity in the developing visual cortex.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“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 [48]
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 [71]
Citations
Cites
Simple model of spiking neurons
Izhikevich, E. M. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.820440 · Cited by 4,828
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
Self-citationReactivation of Ocular Dominance Plasticity in the Adult Visual Cortex
Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J. W., & Maffei, L. (2002) · Science · doi:10.1126/science.1072699 · Cited by 1,679
Local GABA Circuit Control of Experience-Dependent Plasticity in Developing Visual Cortex
Hensch, T. K., Fagiolini, M., Mataga, N., Stryker, M. P., Baekkeskov, S., & Kash, S. F. (1998) · Science · doi:10.1126/science.282.5393.1504 · Cited by 910
Self-citationExperience-Dependent Plasticity of Binocular Responses in the Primary Visual Cortex of the Mouse
Gordon, J. A., & Stryker, M. P. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-10-03274.1996 · Cited by 885
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Dopamine-Mediated Stabilization of Delay-Period Activity in a Network Model of Prefrontal Cortex
Durstewitz, D., Seamans, J. K., & B, T. J. S. A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.3.1733 · Cited by 626
Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex
Cruikshank, S. J., Lewis, T. J., & Connors, B. W. (2007) · Nature Neuroscience · doi:10.1038/nn1861 · Cited by 558
Sugiyama, S., Di Nardo, A. A., Aizawa, S., Matsuo, I., Volovitch, M., Prochiantz, A., & Hensch, T. K. (2008) · Cell · doi:10.1016/j.cell.2008.05.054 · Cited by 491
Self-citation
Cited by
Sorted by citations
Items 101–197 of 197
Sensory Deprivation and Brain Plasticity
Ptito, M., Kupers, R. C., Lomber, S. G., & Pietrini, P. (2012) · Neural Plasticity · doi:10.1155/2012/810370 · Cited by 36
Hyperexcitability of the local cortical circuit in mouse models of tuberous sclerosis complex
Zhao, J.-P., & Yoshii, A. (2019) · Molecular Brain · doi:10.1186/s13041-019-0427-6 · Cited by 34
Experience-dependent regulation of CaMKII activity within single visual cortex synapses in vivo
Mower, A. F., Kwok, S., Yu, H., Majewska, A. K., Okamoto, K., Hayashi, Y., & Sur, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108261109 · Cited by 33
Plasticity of Recurrent L2/3 Inhibition and Gamma Oscillations by Whisker Experience
Shao, Y. R., Isett, B. R., Miyashita, T., Chung, J. E., Pourzia, O., Gasperini, R., & Feldman, D. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.026 · Cited by 33
Smith, G. B. (2010) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2010.00021 · Cited by 28
Kumar, M., Handy, G., Kouvaros, S., Zhao, Y., Brinson, L. L., Wei, E., Bizup, B. T., Doiron, B., & Tzounopoulos, T. (2023) · Nature Communications · doi:10.1038/s41467-023-39732-7 · Cited by 26
Medini, P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2951-11.2011 · Cited by 27
Temporally Coherent Visual Stimuli Boost Ocular Dominance Plasticity
Matthies, U., Balog, J., & Lehmann, K. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4262-12.2013 · Cited by 26
In vivo cholinergic modulation of the cellular properties of medial entorhinal cortex neurons
Tsuno, Y., Schultheiss, N. W., & Hasselmo, M. E. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.250431 · Cited by 27
Experience-dependent plasticity of visual cortical microcircuits
Medini, P. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.08.022 · Cited by 24
Transplantation of GABAergic interneurons for cell-based therapy
Spatazza, J., Mancia, W., & Álvarez-Buylla, A. (2017) · Progress in brain research · doi:10.1016/bs.pbr.2016.11.005 · Cited by 25
Cang, J., Fu, J., & Tanabe, S. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1084027 · Cited by 23
Moreau, A. W., Amar, M., Callebert, J., & Fossier, P. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.02.013 · Cited by 25
Influence of a Subtype of Inhibitory Interneuron on Stimulus-Specific Responses in Visual Cortex
Mao, R., Schummers, J., Knoblich, U., Lacey, C. J., Wart, A. V., Cobos, I., Kim, C. H., Huguenard, J. R., Rubenstein, J. L. R., & Sur, M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr057 · Cited by 23
Brizuela, M., Blizzard, C. A., Chuckowree, J. A., Pitman, K. A., Young, K. M., & Dickson, T. C. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2017.4977 · Cited by 22
Critical Periods in Cortical Development
Hensch, T. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804036-2.00006-6 · Cited by 24
Self-citationPagès, S., Chenouard, N., Chéreau, R., Kouskoff, V., Gambino, F., & Holtmaat, A. J. D. G. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024920118 · Cited by 22
Ocular Dominance Plasticity Disrupts Binocular Inhibition-Excitation Matching in Visual Cortex
Saiepour, M. H., Rajendran, R., Omrani, A., Ma, W., Tao, H. W., Heimel, J. A., & Levelt, C. N. (2015) · Current Biology · doi:10.1016/j.cub.2015.01.024 · Cited by 21
Sommeijer, J.-P., & Levelt, C. N. (2012) · PLoS ONE · doi:10.1371/annotation/1c5484e5-41c0-44dc-8422-2dbd3a002f3b · Cited by 21
Furman, M., Xu, H.-P., & Crair, M. C. (2013) · Journal of Neurophysiology · doi:10.1152/jn.01066.2012 · Cited by 20
Rindner, D. J., Proddutur, A., & Lür, G. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.019 · Cited by 20
Desgent, S., Boire, D., & Ptito, M. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.10.016 · Cited by 20
Impaired functional organization in the visual cortex of muscarinic receptor knock-out mice
Groleau, M., Nguyen, H. N., Vanni, M. P., Huppé‐Gourgues, F., Casanova, C., & Vaucher, E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.016 · Cited by 20
Sipe, G. O., Petravicz, J., Rikhye, R. V., Garcia, R. I., Mellios, N., & Sur, M. (2021) · Glia · doi:10.1002/glia.23987 · Cited by 20
Regulation of PV interneuron plasticity by neuropeptide-encoding genes
Selten, M. M., Bernard, C., Mukherjee, D., Hamid, F., Hanusz-Godoy, A., Oozeer, F., Zimmer, C., & Marín, Ó. (2025) · Nature · doi:10.1038/s41586-025-08933-z · Cited by 19
Iurilli, G., Olcese, U., & Medini, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082044 · Cited by 19
Central Adaptation to Odorants Depends on PI3K Levels in Local Interneurons of the Antennal Lobe
Acebes, Á., Devaud, J., Arnés, M., & Ferrús, A. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2921-11.2012 · Cited by 19
Chamoun, M., Groleau, M., Bhat, M., & Vaucher, E. (2016) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2016.11.010 · Cited by 19
Guirado, R., LaTerra, D., Bourguignon, M., Carceller, H., Umemori, J., Sipilä, P., Nácher, J., & Ċastrén, E. (2016) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2016.00022 · Cited by 18
Experience‐dependent transcriptional regulation in juvenile brain development
Sakai, A., & Sugiyama, S. (2018) · Development Growth & Differentiation · doi:10.1111/dgd.12571 · Cited by 15
REM sleep promotes bidirectional plasticity in developing visual cortex in vivo
Renouard, L., Hayworth, C. R., Rempe, M. J., Clegern, W. C., Wisor, J. P., & Frank, M. G. (2022) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2022.100076 · Cited by 14
Iurilli, G., Benfenati, F., & Medini, P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr304 · Cited by 15
Feese, B. D., Pafundo, D. E., Schmehl, M. N., & Kuhlman, S. J. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00386.2017 · Cited by 13
Cervantes-Ramírez, V. M., Canto-Bustos, M., Aguilar-Magaña, D., Padilla, E. A. P., Góngora-Alfaro, J. L., Pineda, J. C., Atzori, M., & Salgado, H. (2019) · Neuroreport · doi:10.1097/wnr.0000000000001366 · Cited by 13
Circuit formation and sensory perception in the mouse olfactory system
Mori, K., & Sakano, H. (2024) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1342576 · Cited by 13
Brown, C. E., Sweetnam, D., Beange, M., Nahirney, P. C., & Nashmi, R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4568-11.2012 · Cited by 12
Isstas, M., Teichert, M., Bolz, J., & Lehmann, K. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1232-y · Cited by 12
Rapid synaptic and gamma rhythm signature of mouse critical period plasticity
Quast, K. B., Reh, R. K., Caiati, M. D., Kopell, N., McCarthy, M. M., & Hensch, T. K. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2123182120 · Cited by 14
Self-citationSilent synapse: A new player in visual cortex critical period plasticity
Huang, X. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.01.031 · Cited by 11
Chapeton, J. I., Gala, R., & Stepanyants, A. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00074 · Cited by 11
Pietrasanta, M., Restani, L., Cerri, C., Olcese, U., Medini, P., & Caleo, M. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12573 · Cited by 11
Spike Timing-Dependent Plasticity
Shulz, D. E., & Feldman, D. E. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00029-7 · Cited by 12
Talaei, S. A., Azami, A., & Salami, M. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.01.024 · Cited by 10
Chandran, S. K., Yiannakas, A., Kayyal, H., Salalha, R., Cruciani, F., Mizrahi, L., Khamaisy, M., Stern, S., & Rosenblum, K. (2022) · eNeuro · doi:10.1523/eneuro.0302-22.2022 · Cited by 10
Aronitz, E. M., Kamermans, B. A., & Duffy, K. R. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25127 · Cited by 11
Ogawa, M., Nagai, T., Saito, Y. M., Miyaguchi, H., Kumakura, K., Abe, K., & Asakura, T. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.03.032 · Cited by 10
Sergeeva, E. G., Espinosa‐García, C., Atif, F., Pardue, M. T., & Stein, D. G. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.05.005 · Cited by 10
Martinez, J. D., Donnelly, M. J., Popke, D. S., Torres, D., Wilson, L. G., Brancaleone, W. P., Sheskey, S., Lin, C., Clawson, B. C., Jiang, S., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04798-y · Cited by 9
Assessment of Methods for the Intracellular Blockade of GABAA Receptors
Atherton, L. A., Burnell, E. S., & Mellor, J. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160900 · Cited by 9
Nakamori, T., Kato, T., Sakagami, H., Tanaka, K., & Ohki‐Hamazaki, H. (2017) · Scientific Reports · doi:10.1038/srep42927 · Cited by 9
Ocular dominance plasticity: Molecular mechanisms revisited
Kasamatsu, T., & Imamura, K. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.25001 · Cited by 10
Mixed Signal Learning by Spike Correlation Propagation in Feedback Inhibitory Circuits
Hiratani, N., & Fukai, T. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004227 · Cited by 8
Self-citationNeuronal mechanisms regulating the critical period of sensory experience-dependent song learning
Yazaki‐Sugiyama, Y. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.11.002 · Cited by 8
Self-citationShang, Z., & Zhang, X. (2025) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2025.07.006 · Cited by 6
The spike-timing-dependent plasticity of VIP interneurons in motor cortex
McFarlan, A. R., Guo, C., Gomez, I., Weinerman, C., Liang, T. A., & Sjöström, P. J. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1389094 · Cited by 8
Models of vocal learning in the songbird: Historical frameworks and the stabilizing critic
Nick, T. A. (2014) · Developmental Neurobiology · doi:10.1002/dneu.22189 · Cited by 6
Structure and Function Relationships During Ocular Dominance Plasticity in the Visual Cortex
Dahlhaus, M., & Levelt, C. N. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.3.223 · Cited by 6
Cortical Neural Computation by Discrete Results Hypothesis
Castejon, C., & Núñez, Á. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00081 · Cited by 6
Component-specific reduction in perineuronal nets in senescence-accelerated mouse strains
Ueno, H., Takahashi, Y., Murakami, S., Wani, K., Miyazaki, T., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2023) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2023.01.002 · Cited by 5
Experience-Dependent Synaptic Plasticity in the Developing Cerebral Cortex
Aoki, C. J., & Erişir, A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-418675-0.00013-4 · Cited by 5
GABAergic inhibition reduces the impact of synaptic excitation on somatic excitation
Kobayashi, C., Okamoto, K., Mochizuki, Y., Urakubo, H., Funayama, K., Ishikawa, T., Kashima, T., Ouchi, A., Szymanska, A. F., Ishii, S., et al. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.09.014 · Cited by 4
Slow cortical rihythms: from single-neuron electrophysiology to whole-brain imaging in vivo
Olcese, U., & Faraguna, U. (2015) · ARCHIVES ITALIENNES DE BIOLOGIE · doi:10.12871/000398292015234 · Cited by 3
Jiang, Q., Wu, S. J., Fishell, G., & Chen, C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2504224122 · Cited by 3
Fingolimod increases parvalbumin-positive neurons in adult mice
Ueno, H., Takahashi, Y., Murakami, S., Wani, K., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2022) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2022.06.005 · Cited by 3
Postsynaptic spiking determines anti-Hebbian LTD in visual cortex basket cells
Chou, C. Y. C., Droogers, W. J., Lalanne, T., Fineberg, E., Klimenko, T., Owens, H., & Sjöström, P. J. (2025) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2025.1548563 · Cited by 3
Recent Advances in the Molecular Mechanisms of Ocular Dominance Plasticity in the Visual Cortex
Qin, Y., Wang, W., Gu, Y., & Shi, X. (2025) · Neuroscience Bulletin · doi:10.1007/s12264-025-01448-7 · Cited by 2
Müller, D., & Nikonenko, I. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00145-x · Cited by 4
Malik, A., Eldaly, A. B. M., Chen, K., & Chan, L. L.-H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab372 · Cited by 2
Moseley, S. M., & Meliza, C. D. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00247.2025 · Cited by 1
Roles of PSD-93 and environmental enrichment in cortical synapses
Favaro, P. D. (2015) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5360 · Cited by 1
Glycan Structure and Neural Plasticity
Mikami, T., & Kitagawa, H. (2014) · Springer eBooks · doi:10.1007/978-4-431-55381-6_7
Experience-dependent dendrite remodeling of GABAergic interneurons in the adult visual cortex
Chen, J. L. (2010) · DSpace@MIT (Massachusetts Institute of Technology)
Requirement for AMPA receptor endocytosis and long-term depression in ocular dominance plasticity
Smith, G. B. (2010) · DSpace@MIT (Massachusetts Institute of Technology)
Critical period plasticity and sensory function in a neuroligin-3 model of autism
LeBlanc, J. J. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Synaptic Specificity and Plasticity in Parvalbumin-Basket Cell Circuits
Bogart, L. J. (2015) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Chondroitin Sulfate Proteoglycans Regulate Experience-Dependent Neuronal Plasticity
Miyata, S., & Kitagawa, H. (2011) · Trends in Glycoscience and Glycotechnology · doi:10.4052/tigg.23.239
Epigenetic control of visual cortex development and plasticity
Tognini, P., Putignano, E., & Pizzorusso, T. (2016) · Wiley eBooks · doi:10.1002/9781118931684.ch2
Plasticity and Memory in Cerebral Cortex
Finnie, P. S. B., Bear, M. F., & Cooke, S. F. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21079-1
The Role of PV Neurons in Cortical Plasticity During Development of Mouse Visual Cortex
Feese, B. D. (2017) · KiltHub Repository · doi:10.1184/r1/6723755
Stodieck, S. K. (2017) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-6478
Examining neuronal connectivity and its role in learning and memory
Gala, R. (2017) · Digital Repository Service (Northeastern University) · doi:10.17760/d20253061
Martinez, J. D., Donnelly, M. J., Popke, D. S., Torres, D., Sheskey, S., Clawson, B. C., Jiang, S., & Aton, S. J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.24.432698
Martinez, J. D., Donnelly, M. J., Popke, D. S., Torres, D., Wilson, L. G., Brancaleone, W. P., Clawson, B. C., Jiang, S., & Aton, S. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.25.477697
Fleischmann, A., & Roland, B. (2012) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.717953920.793463201
Experience-dependent plasticity of cortical inhibition
van Versendaal, D. (2024) · doi:10.5463/thesis.609
Experience-dependent plasticity of layer 2/3 circuits in developing somatosensory neocortex
Wen, J. A. (2018) · KiltHub Repository · doi:10.1184/r1/6716537
Li, Y., Shang, Z., Ji, Z., Meng, M., Wang, F., Gu, X., He, M., Wu, S., & Zhang, X. (2026) · Neuroscience Bulletin · doi:10.64898/2025.12.21.695847
Durieux, L. J. A., Pereira, M. J., Villers, A., Gilissen, S. R. J., & Arckens, L. (2026) · The Journal of Comparative Neurology · doi:10.1002/cne.70136
Rôle des astrocytes dans la période critique de la plasticité visuelle
Breton, R. (2023) · theses.fr (ABES) · doi:10.70675/9140a00az6c88z4fb6zaabfz9eb16e7593ca
Severín, D., & Kirkwood, A. (2026) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2026.1819500
Panday, M., Monteiro, L., Daudi, A., & Murphy, K. M. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1848222
Opposing Experiences Shape Parvalbumin Interneuron Plasticity through Distinct Molecular ProgramsPreprint
Guo, Y., Gao, Y., Knaack, S., Shen, M., Xu, Z., Lee, J., Zhang, Y., Yang, P., Huang, S. X., Jarzembowski, E. D., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.28.747632
Metadata
- Authors
- Yazaki-Sugiyama, Y., Kang, S., Câteau, H., Fukai, T., & Hensch, T. K.
- Affiliations
- RIKEN Center for Brain Science (JP)
- Japan Science and Technology Agency (JP)
- Corresponding author
- Hensch, Takao K.
- Venue
- Nature
- Published
- 2009-11
- Volume
- 462
- Issue
- 7270
- Pages
- 218-221
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2017144698
- Cited by
- 200
- References
- 37
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 5 · 2019: 7 · 2018: 14 · 2017: 15 · 2016: 11 · 2015: 13 · 2014: 17 · 2013: 28 · 2012: 20
- FWCI
- 7.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- experience-dependent plasticity, ocular dominance, monocular deprivation, fast-spiking interneurons, GABAergic circuits, excitation-inhibition balance, spike-timing-dependent plasticity, visual cortex development, binocular vision, pyramidal neurons, bidirectional plasticity
- MeSH terms
- Action Potentials, Aging, Animals, gamma-Aminobutyric Acid, Interneurons, Mice, Inbred C57BL, Models, Neurological, Neuronal Plasticity, Neurons, Photic Stimulation, Visual Cortex, Visual Pathways, Visual Perception, Pyramidal Cells, Receptors, GABA, 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