The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Sensory experience regulates cortical inhibition by inducing IGF1 in VIP neurons
Open accessAbstract
Inhibitory neurons regulate the adaptation of neural circuits to sensory experience, but the molecular mechanisms by which experience controls the connectivity between different types of inhibitory neuron to regulate cortical plasticity are largely unknown. Here we show that exposure of dark-housed mice to light induces a gene program in cortical vasoactive intestinal peptide (VIP)-expressing neurons that is markedly distinct from that induced in excitatory neurons and other subtypes of inhibitory neuron. We identify Igf1 as one of several activity-regulated genes that are specific to VIP neurons, and demonstrate that IGF1 functions cell-autonomously in VIP neurons to increase inhibitory synaptic input onto these neurons. Our findings further suggest that in cortical VIP neurons, experience-dependent gene transcription regulates visual acuity by activating the expression of IGF1, thus promoting the inhibition of disinhibitory neurons and affecting inhibition onto cortical pyramidal neurons.
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
“In contrast, neuronal activity induces a completely different transcriptional response in VIP+ interneurons, promoting the formation of inhibitory synapses on these cells (Mardinly et al., 2016).”
From Development and Functional Diversification of Cortical Interneurons (2018) · cites this paper as Mardinly et al., 2016
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Liu, J.-P., Baker, J. C., Perkins, A. S., Robertson, E. J., & Efstratiadis, A. (1993) · Cell · doi:10.1016/s0092-8674(05)80084-4 · Cited by 2,854
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
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
Rubinson, D. A., Dillon, C. P., Kwiatkowski, A. V., Sievers, C., Yang, L., Kopinja, J. E., Rooney, D. L., Zhang, M., Ihrig, M. M., McManus, M. T., et al. (2003) · Nature Genetics · doi:10.1038/ng1117 · Cited by 1,499
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
Gorski, J. A., Talley, T., Qiu, M. S., Puelles, L., Rubenstein, J. L. R., & Jones, K. R. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-15-06309.2002 · Cited by 1,403
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–176 of 176
Rem2 stabilizes intrinsic excitability and spontaneous firing in visual circuits
Moore, A. R., Richards, S. E. V., Kenny, K., Royer, L. O., Chan, U., Flavahan, K., Hooser, S. D. V., & Paradis, S. (2018) · eLife · doi:10.7554/elife.33092 · Cited by 17
“Interestingly, these processes rely heavily on physiological and morphological plasticity at the level of individual neurons (El-Gaby et al., 2015; Lüscher and Malenka, 2011;Martin et al., 2000; Yager et al., 2015).”
BackgroundGuo, X., Keenan, B. T., Reiner, B. C., Lian, J., & Pack, A. I. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114192 · Cited by 19
“59,60 Despite this limitation, our findings are in agreement with a number of previous studies, e.g., the number of c-Fos-positive neurons in VLPO is not elevated in animals collected after sleep deprivation.”
Changes in insulin‐like growth factor signaling alter phenotypes in Fragile X Mice
Wise, T. L. (2016) · Genes Brain & Behavior · doi:10.1111/gbb.12340 · Cited by 16
“…are enhanced in hippocampal and cortical pyramidal neurons of Fmr1 KO mice (Deng et al. 2013), or by reducing inhibitory synaptic inputs into neurons (Mardinly et al. 2016), although there is currently little evidence for alterations in inhibitory neurons in Fmr1 KO mice (Contractor et al. 2015).”
BackgroundInfluentialHorowitz, L. B., Brandt, J. P., & Ringstad, N. (2019) · Development · doi:10.1242/dev.182873 · Cited by 16
The interplay between translational efficiency, poly(A) tails, microRNAs, and neuronal activation
Eisen, T. J., Li, J. J., & Bartel, D. P. (2022) · RNA · doi:10.1261/rna.079046.121 · Cited by 16
“For example, CPEB binds to the cytoplasmic polyadenylation element (CPE) and recruits the Gld2 poly(A) polymerase to the mRNA, causing extension of the mRNA tail (Richter 1999; McFleder et al. 2017).”
BackgroundIGF-1 via PI3K/Akt/S6K signaling pathway protects DRG neurons with high glucose-induced toxicity
Liu, C., Liu, S., Wang, S., Sun, Y., Lu, X., Li, H., & Li, G. (2019) · Open Life Sciences · doi:10.1515/biol-2019-0056 · Cited by 14
Vision-dependent specification of cell types and function in the developing cortexPreprint
Cheng, S., Butrus, S., Tan, L., Xu, R., Sagireddy, S., Trachtenberg, J. T., Shekhar, K., & Zipursky, S. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.10.455824 · Cited by 12
Spiegel, I. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.11.013 · Cited by 12
Huang, T.-H., Lin, Y.-S., Hsiao, C., Wang, L.-Y., Ajibola, M. I., Abdulmajeed, W. I., Lin, Y., Li, Y., Chen, C.-Y., Lien, C., et al. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1146278 · Cited by 12
“Previous studies have applied RiboTag to cortical inhibitory interneurons (Mardinly et al., 2016; Huntley et al., 2020).”
Traunmüller, L., Duffy, E. E., Liu, H., Sanalidou, S., Krüttner, S., Assad, E. G., Sun, S., Pajarillo, N. S., Niu, N., Griffith, E. C., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63029-6 · Cited by 13
New insights into cortical development and plasticity: from molecules to behavior
Park, W. J., & Fine, I. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.06.004 · Cited by 11
Hu, Y.-B., Deng, X., Liu, L., Cao, C.-C., Su, Y.-W., Gao, Z.-J., Cheng, X. R., Kong, D., Li, Q., Shi, Y., et al. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01879-2 · Cited by 8
Joseph, D. J., von Deimling, M., Hasegawa, Y., Cristancho, A. G., Risbud, R. M., McCoy, A. J., & Marsh, E. D. (2021) · STAR Protocols · doi:10.1016/j.xpro.2021.100714 · Cited by 8
Unique transcriptomes of sensory and non-sensory neurons: insights from Splicing Regulatory States
Ciampi, L., Serrano, L. G., & Irimia, M. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00020-1 · Cited by 10
“Concomitantly, various studies successfully applied scRNA-seq to pro fi le neurons from speci fi c brain regions and greatly improved our understanding of neuron subtypes at the gene expression level (Zeisel et al, 2015; Mardinly et al, 2016; Tasic et al, 2016; Paul et al, 2017; Hrvatin et al, 2018).”
Kushinsky, D., Tsivourakis, E., Apelblat, D., Roethler, O., Breger-Mikulincer, M., Malina, K. C.-K., & Spiegel, I. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114701 · Cited by 7
Yang, M. G., & West, A. E. (2016) · Europe PMC (PubMed Central) · Cited by 7
Updating the picture of layer 2/3 VIP-expressing interneuron function in the mouse cerebral cortex
Posluszny, A. (2020) · Acta Neurobiologiae Experimentalis · doi:10.21307/ane-2019-031 · Cited by 8
“Both peptides are ligands of the VIP/ PACAP membrane receptors VPAC1, VPAC2 and PAC1, which belong to the class II B G protein‑coupled receptor fam‑ ily (Taylor and Pert, 1979; Martin et al., 1992; Harmar et al., 1998; Shen et al., 2013).”
BackgroundBian, Y., Kawabata, R., Enwright, J. F., Tsubomoto, M., Okuda, T., Kamikawa, K., Kimoto, S., Kikuchi, M., Lewis, D. A., & Hashimoto, T. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116084 · Cited by 7
Activity-dependent synthesis of Emerin gates neuronal plasticity by regulating proteostasis
Xie, Y., Wang, R., McClatchy, D. B., Ma, Y., Diedrich, J. K., Sánchez-Alavez, M., Petrascheck, M., Yates, J. R., & Cline, H. T. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115439 · Cited by 5
“Ribosome profiling (RiboSeq) analysis detected a VE-dependent increase in neuronal Emd (the gene encoding Emerin) 14 ; however, single cell RNA sequencing (scRNAseq) analysis did not identify increased Emd in neurons within approximately the same time frame following VE.”
Wagatsuma, N., Nobukawa, S., & Kurikawa, T. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013306 · Cited by 6
Neuronal type-specific modulation of cognition and AP-1 signaling by early-life rearing conditions
Alaiz-Noya, M., Miozzo, F., Fuentes-Ramos, M., Machnicka, M. A., Kurowska, M., Herrera, M. L., del Blanco, B., Niñerola, S., Bustos-Martínez, I., Wilczyński, B., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65343-5 · Cited by 6
Xavier, A. M., Lin, Q., Kang, C. J., & Cheadle, L. (2025) · Development · doi:10.1242/dev.204244 · Cited by 7
Yuting, W., Wu, J., Yeh, C., Shen, H., Wu, K., Vida, I., & Lien, C. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25116 · Cited by 5
“Nevertheless, correlations are shown to exist between these properties and the gene or neurochemical markers (Lien, Martina, Schultz, Ehmke, & Jonas, 2002; Mardinly et al., 2016; Martina, Schultz, Ehmke, Monyer, & Jonas, 1998; Yu, Swietek, Proddutur, & Santhakumar, 2015).”
BackgroundBartolomei, G. D., & Scheiffele, P. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2521-7_3 · Cited by 6
Moore, J. R., Nemera, M. T., D’Souza, R. D., Hamagami, N., Clemens, A. W., Beard, D. C., Urman, A., Mendoza, V. R., & Gabel, H. W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.30.577861 · Cited by 6
Pumo, G., & Rijli, F. M. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.103024 · Cited by 5
“The cell type-specificity of these LRG programs regulates key aspects of neuronal circuit function, such as for instance the excitation/inhibition homeostatic balance of cortical circuits via specific adaptations in inhibitory vs. excitatory synapses [39 e 42].”
Mahadevan, V., Peltekian, A., & McBain, C. J. (2020) · Current Protocols in Neuroscience · doi:10.1002/cpns.93 · Cited by 5
“To circumvent the caveats associated with polysome integrity loss result- ing from freezing the tissue, some studies have pooled the tissue from multiple animals to gain enough “mRNA material” for downstream analysis (Mardinly et al., 2016; Spiegel et al., 2014).”
Harari, R., Getselter, D., & Elliott, E. (2025) · Molecular Brain · doi:10.1186/s13041-025-01191-0 · Cited by 4
“Igf1 has previously been shown to be expressed specifically in VIP-expressing inhibitory neurons in the visual cortex [8].”
In vivo profiling of the endothelium using ‘AngioTag’ zebrafish
Miller, M. F., Greenspan, L. J., Gildea, D. E., Monzo, K., Margolin, G., Pham, V. N., Ameyaw, K. K., Price, L., Aloi, N., Stratman, A. N., et al. (2025) · Angiogenesis · doi:10.1007/s10456-025-09990-8 · Cited by 4
“Other groups have utilized the TRAP method to per - form RNAseq on specific cell populations in the mouse brain or kidney, with all but one group amplifying their RNA prior to sequencing [14, 16, 18, 51 ].”
Moussa, A. J., & Wester, J. C. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.982721 · Cited by 6
“Of note, a previous study showed that igf1 expression in VIP interneurons regulates experience-dependent plasticity in primary visual cortex (Mardinly et al., 2016).”
Molecular programs specifying properties and plasticity of parvalbumin interneuron innervation
Okur, Z., & Scheiffele, P. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.103060 · Cited by 4
Activity-dependent transcriptional programs in memory regulate motor recovery after stroke
Joy, M. T., & Carmichael, S. T. (2024) · Communications Biology · doi:10.1038/s42003-024-06723-3 · Cited by 4
“The expression of LRGs modulates plasticity at the synapse 22 – 24 .”
InfluentialProfiling the endothelial translatome in vivo using ‘AngioTag’ zebrafishPreprint
Miller, M. F., Greenspan, L. J., Gildea, D. E., Monzo, K., Margolin, G., Pham, V. N., Ameyaw, K. K., Price, L., Aloi, N. M., Stratman, A. N., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/815696 · Cited by 4
“Other groups have utilized the TRAP method to perform RNAseq on specific cell populations in the mouse brain or kidney, with all but one group amplifying their RNA prior to sequencing (Brichta et al., 2015; Hupe et al., 2014; Mardinly et al., 2016; Shigeoka et al., 2016).”
MethodHayes, C. A., Hodges, E. L., Marshall, J. P. S., Logan, S., Farley, J. A., Owens, D. B., Sonntag, W. E., & Ashpole, N. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.08.455596 · Cited by 4
“The possibility of synaptic pruning within our mutant mice is supported by evidence that synaptic pruning is activitydependent, and IGF-1 significantly increases synaptic excitability by modulating NMDA receptor availability, calcium channel function, and inhibitory neurotransmission (Blair et al., 1999; Cao et al., 2…”
BackgroundActivity-Dependent Chromatin Mechanisms in Cerebellar Motor Learning
Valnegri, P., Yamada, T., & Yang, Y. (2022) · Neuromethods · doi:10.1007/978-1-0716-2026-7_7 · Cited by 3
A role for astrocytic insulin-like growth factor I receptors in the response to ischemic insult
Suda, K., Pignatelli, J., Genı́s, L., Fernandez, A. M., de Sevilla, M. E. F., de la Cruz, I. F., Pozo-Rodrigálvarez, A., CEBALLOS, M. L. D., Díaz-Pacheco, S., Herrero-Labrador, R., et al. (2023) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x231217669 · Cited by 3
“…the presence of IGF-IR in specific cellular compartments in glia 47 and neurons (in preparation), mediating complex neuronal plasticity patterns, at least in the latter, 48,49 suggests the existence of a highly compartmentalized role of this growth factor and its receptor on brain function.”
BackgroundMeso-seq for in-depth transcriptomics in ultra-low amounts of FACS-purified neuronal nuclei
Apelblat, D., Roethler, O., Bitan, L., Keren‐Shaul, H., & Spiegel, I. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100259 · Cited by 3
“, 2011), and their transcriptome has been profiled extensively (Hrvatin et al., 2018; Mardinly et al., 2016; Yao et al., 2021).”
BackgroundResultInfluentialDeveloping neurons are innately inclined to learn on the job
Mayer, C., & Fishell, G. (2018) · Nature · doi:10.1038/d41586-018-05737-2 · Cited by 4
“Modulation of apoptosis controls inhibitory interneuron number in the cortex”Preprint
Denaxa, M., Neves, G., Rabinowitz, A., Kemlo, S., Liodis, P., Burrone, J., & Pachnis, V. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/134916 · Cited by 3
Activity-dependent expression of Fezf2 regulates inhibitory synapse formation in pyramidal cellsPreprint
Kroon, T., Sanalidou, S., Maeso, P. A., Garcés, T., Yang, H., & Rico, B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.11.575171 · Cited by 3
Genetic Mechanisms of Experience-Dependent Neuronal Plasticity
West, A. E. (2025) · Annual Review of Genetics · doi:10.1146/annurev-genet-020325-103824 · Cited by 4
“One of the most important concepts to emerge from the era of transcriptional profiling is that programs of activity-dependent gene regulation are highly cell-type specific (39, 54, 93, 140, 165).”
Wagatsuma, N., Terada, Y., Okuno, H., & Ageta‐Ishihara, N. (2025) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2025.1525717 · Cited by 2
Astrocytes of the hippocampus and responses to periprandial neuroendocrine hormones
Loera‐Lopez, A. L., Lord, M. N., & Noble, E. E. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.114913 · Cited by 2
Hrvatin, S., Nagy, M. A., & Greenberg, M. E. (2016) · Cell · doi:10.1016/j.cell.2016.06.008 · Cited by 2
“IEGs direct programs of late-response gene transcription that are neuronal subtype specific and tailored to the function of each neuron within a neural circuit (Mardinly et al., 2016; Spiegel et al., 2014).”
BackgroundImage Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors
Tong, Z. (2021) · Journal of Sensors · doi:10.1155/2021/7166142 · Cited by 2
“Although this way of expression is simple and direct, the effect it produces should not be underestimated [22, 23].”
BackgroundHolter, M. C., Hewitt, L. T., Nishimura, K. J., Bjorklund, G. R., Shah, S., Fry, N., Rees, K. P., Gupta, T. A., Daniels, C. W., Li, G., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/748087 · Cited by 2
Tu, X., Jain, A., Decker, H., & Yasuda, R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.08.439065 · Cited by 2
“IGF1 is also synthesized in multiple brain regions(Cao et al., 2011; Mardinly et al., 2016; Pristerà et al., 2019), including the hippocampus(Mitschelen et al., 2011a; Myhre et al., 2019; Sun et al., 2005a).”
BackgroundKnowles, S. J., Holter, M. C., Li, G., Bjorklund, G. R., Rees, K. P., Martinez-Fuentes, J. S., Nishimura, K. J., Afshari, A. E., Fry, N., Stafford, A. M., et al. (2023) · doi:10.7554/elife.88313.1 · Cited by 2
Nakayama, K., Mubuchi, A., & Miyata, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.29.656756 · Cited by 2
Establishing a continuum of cell types in the visual cortexPreprint
Yoo, J., Xie, F., Butrus, S., Xu, R., Tan, Z., Gorzek, R. C., Mirshahidi, P., Tring, E., Suresh, S., Kim, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.22.677893 · Cited by 2
Dynamic regulation of cortical interneuron wiring
Rosés-Novella, C., & Bernard, C. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.102980 · Cited by 1
“Seminal works showed how sensory-driven transcriptional programmes vary between interneuron types to regulate cortical wiring and behaviour, through the immediate early gene (IEG) response to activity changes [37,38].”
Feyerabend, M., Witte, M., Möck, M., & Staiger, J. F. (2025) · iScience · doi:10.1016/j.isci.2025.112539 · Cited by 1
“43 46 However, recent evidence also suggests core sensory representation features being integrated in the activity of VIP neurons.”
Lukin, J., Beckel, M. S., Pedroncini, O., Giusti, S. A., Mauro, G. C. D., Linenberg, I. M., Patop, I. L., Chernomoretz, A., Marín‐Burgin, A., Kadener, S., et al. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1609772 · Cited by 2
Neuronal Activity Suppresses NEUROD-Dependent Transcription and Genome Organization
Valnegri, P., Yamada, T., & Yang, Y. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1565-25.2025 · Cited by 1
Guo, H., Shi, W., Lin, H., Gao, M., Ma, W., Shen, Q., & Yang, S. (2026) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545826500124 · Cited by 1
Jeon, B. B., Fuchs, T. A. E., Chase, S. M., & Kuhlman, S. J. (2022) · eLife · doi:10.7554/elife.80361 · Cited by 1
“Next, we examined whether LRx, which is known to potently induce gene expression even in the adult (Mardinly et al., 2016), disturbed tuning stability of the four tuning parameters or pairwise signal correlation.”
BackgroundWagatsuma, N., Shimomura, H., & Nobukawa, S. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.988715 · Cited by 1
“Distinct subtypes of inhibitory interneurons expressing one of three genes, parvalbumin (PV), somatostatin (SOM), or vasoactive intestinal polypeptide (VIP), are critical members of the cortical microcircuit of the superficial layers in primary visual area V1 (Zhang et al., 2014; Neske et al., 2015; Mardinly et al., 2…”
BackgroundSpecific Functions of ERK/MAPK Signaling in Brain Development and Neurocognition
Holter, M. C. (2019) · Cited by 1
Knowles, S. J., Holter, M. C., Li, G., Bjorklund, G. R., Rees, K. P., Martinez-Fuentes, J. S., Nishimura, K. J., Afshari, A. E., Fry, N., Stafford, A. M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.02.502073 · Cited by 1
Intrinsic and Input‐dependent Development of Cortical Neuron Types
Klingler, E., Roig‐Puiggros, S., & Jabaudon, D. (2023) · Wiley eBooks · doi:10.1002/9781119860914.ch14 · Cited by 1
Knowles, S. J., Holter, M. C., Li, G., Bjorklund, G. R., Rees, K. P., Martinez-Fuentes, J. S., Nishimura, K. J., Afshari, A. E., Fry, N., Stafford, A. M., et al. (2023) · doi:10.7554/elife.88313 · Cited by 2
Bates, S. G., Harris, N., Nurrish, S., & Sengupta, P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.14.725236 · Cited by 1
“In sensory systems, rapid induction of cell-specific signaling molecules may provide a particularly efficient mechanism to translate a defined sensory experience into adaptive changes in neuronal state, circuit function, and behavior 4,15 .”
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
Smith, S. E. (2020) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.7976
Kano, M., & Watanabe, T. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733679252.793562681
Knowles, S. J., Holter, M. C., Li, G., et al. (2023) · doi:10.7554/elife.88313.1.sa0
Fos/AP-1 as an Exemplar for the Study of Neuronal Activity-Dependent Gene Regulation
Griffith, E. C., & Greenberg, M. E. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_1 · Cited by 2
Altered oscillatory coupling reflects possible inhibitory interneuron dysfunction in Rett syndromePreprint
Kranz, D., Braverman, Y., McCarthy, M. M., Mackay, C. E., Sabol, K. N., Benke, T. A., Lieberman, D. N., Marsh, E. D., Neul, J. L., Peck, F. C., et al. (2025) · medRxiv · doi:10.1101/2025.07.21.25331927 · Cited by 1
Beyond dopamine: Cotransmission by dopamine neurons
Melani, R., & Tritsch, N. X. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-29867-7.00015-3
COMPASS-mediated epigenetic regulation of transcription accelerates forgetting with agePreprint
Sengupta, T., Kaletsky, R. L., Morillo, K. S., Zhou, S., Brown, A., Novak, K., Weng, Y.-T., Dougherty, P., Ka, A., & Murphy, C. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.31.685883
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
Joint modeling of cellular heterogeneity and condition effects with scPCA in single-cell RNA-seq
Vöhringer, H. S., & Dietrich, S. (2026) · Communications Biology · doi:10.1038/s42003-026-09651-6
“In real single-cell datasets, such batch effects often present as global shifts in average gene expression, for example due to differences in sequencing protocols or platforms. scPCA addresses this by allowing the user to specify a mean offset matrix V , which accounts for batch-specific shifts.”
Assembling layer 1 of the neocortex : roles of Cajal-Retzius cells
Genescu, I. (2020) · theses.fr (ABES) · doi:10.70675/3fe1b21cz5c6bz4150z94e6zd77163aba0ad
Behavioural states control binocular vision through input-specific mechanisms
Malina, K. C.-K., Shtiglitz, S., Kushinsky, D., Rubin, A., & Spiegel, I. (2026) · Nature Communications · doi:10.1038/s41467-026-71667-7
Interneurons and network activity in the cerebral cortex: a developmental dialogue
Moissidis, M., & Marín, Ó. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-026-01088-4
Metadata
- Authors
- 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., & Greenberg, M. E.
- Affiliations
- University of California, Berkeley (US)
- Harvard University (US)
- Boston Children's Hospital (US)
- Corresponding author
- Greenberg, M. E.
- ORCID
- Venue
- Nature
- Published
- 2016-03
- Volume
- 531
- Issue
- 7594
- Pages
- 371-375
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4823817
- OpenAlex
- W2293311540
- Cited by
- 176
- References
- 37
- Citations by year
- 2026: 6 · 2025: 22 · 2024: 12 · 2023: 14 · 2022: 18 · 2021: 17 · 2020: 13 · 2019: 23 · 2018: 19 · 2017: 20 · 2016: 12
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (P01NS047572, R01NS028829, R37NS028829)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD018655)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- insulin-like growth factor I, cortical inhibition, visual cortex, visual acuity, excitation-inhibition balance, light exposure, activity-dependent gene expression, inhibitory synaptic input, cortical plasticity, pyramidal neurons
- MeSH terms
- Animals, Female, Insulin-Like Growth Factor I, Male, Mice, Inbred C57BL, Neural Inhibition, Neural Pathways, Neuronal Plasticity, Neurons, Synapses, Vasoactive Intestinal Peptide, Vision, Ocular, Visual Cortex, Pyramidal Cells, 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