Distinct inhibitory circuits orchestrate cortical beta and gamma band oscillations
Open accessAbstract
Distinct subtypes of inhibitory interneuron are known to shape diverse rhythmic activities in the cortex, but how they interact to orchestrate specific band activity remains largely unknown. By recording optogenetically tagged interneurons of specific subtypes in the primary visual cortex of behaving mice, we show that spiking of somatostatin (SOM)- and parvalbumin (PV)-expressing interneurons preferentially correlates with cortical beta and gamma band oscillations, respectively. Suppression of SOM cell spiking reduces the spontaneous low-frequency band (<30-Hz) oscillations and selectively reduces visually induced enhancement of beta oscillation. In comparison, suppressing PV cell activity elevates the synchronization of spontaneous activity across a broad frequency range and further precludes visually induced changes in beta and gamma oscillations. Rhythmic activation of SOM and PV cells in the local circuit entrains resonant activity in the narrow 5- to 30-Hz band and the wide 20- to 80-Hz band, respectively. Together, these findings reveal differential and cooperative roles of SOM and PV inhibitory neurons in orchestrating specific cortical oscillations.
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SST+ interneurons are responsible for preferentially driving beta (15-30 Hz) frequency oscillations in other brain regions.
“SST+ interneurons on the other hand have been demonstrated to indirectly contribute to the entrainment of theta oscillations in the hippocampus (25) and are responsible for preferentially driving beta (15–30 Hz) frequency oscillations in other brain regions (72).”
From Perineuronal nets, inhibitory interneurons and anxiety-related ventral hippocampal neuronal oscillations are altered by early life adversity (2019) · cites this paper as [72]
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Cites
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323 · see citing works
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151 · see citing works
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 4,831 · see citing works
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564 · see citing works
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454 · see citing works
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332 · see citing works
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954 · see citing works
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796 · see citing works
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786 · see citing works
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650 · see citing works
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606 · see citing works
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603 · see citing works
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463 · see citing works
Abnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120 · see citing works
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070 · see citing works
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050 · see citing works
Lisman, J. E., & Jensen, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.007 · Cited by 1,609 · see citing works
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Wang, X., & Buzsáki, G. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06402.1996 · Cited by 1,571 · see citing works
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483 · cited 7× · see citing works
“We performed MMA recording in layers 2/3–4 of awake head-fixedmice using the air-floated styrofoamball setup shown in Figure 2A, which was used in previous studies (Dombeck et al., 2007; Niell and Stryker, 2010), including our own (Chen et al.”
BackgroundMethodResultInfluentialThree groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420 · see citing works
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398 · see citing works
Temporal binding and the neural correlates of sensory awareness.
Engel, A. K., & Singer, W. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01568-0 · Cited by 1,372 · see citing works
Pfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353 · see citing works
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345 · see citing works
High-performance genetically targetable optical neural silencing by light-driven proton pumps
Chow, B. Y., Han, X., Dobry, A. S., Qian, X., Chuong, A. S., Li, M., Henninger, M. A., Belfort, G. M., Lin, Y., Monahan, P. E., et al. (2010) · Nature · doi:10.1038/nature08652 · Cited by 1,188 · see citing works
Self-citationInterneuron cell types are fit to function
Kepecs, A., & Fishell, G. (2014) · Nature · doi:10.1038/nature12983 · Cited by 1,110 · see citing works
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 · see citing works
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081 · see citing works
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77236-x · Cited by 1,044 · see citing works
Haider, B., Duque, A., Hasenstaub, A. R., & McCormick, D. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5297-05.2006 · Cited by 962 · see citing works
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937 · cited 4× · see citing works
“…intrinsic spiking properties (Hu et al., 2011; Lazarus and Huang, 2011; Miao et al., 2016), synaptic connectivity (Markram et al., 2004; Pfeffer et al., 2013; Karnani et al., 2016), and visual functions (Ma et al., 2010; Lee et al., 2012; Wilson et al., 2012; Cottam et al., 2013; Fu et al., 2014).”
BackgroundInfluentialPrinciples of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908 · see citing works
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1998) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · Cited by 898 · see citing works
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M. B., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 888 · see citing works
Control of timing, rate and bursts of hippocampal place cells by dendritic and somatic inhibition
Royer, S., Zemelman, B. V., Losonczy, A., Kim, J., Chance, F., Magee, J. C., & Buzsáki, G. (2012) · Nature Neuroscience · doi:10.1038/nn.3077 · Cited by 728 · see citing works
Equalizing excitation-inhibition ratios across visual cortical neurons
Xue, M., Atallah, B. V., & Scanziani, M. (2014) · Nature · doi:10.1038/nature13321 · Cited by 722 · see citing works
A neural circuit for spatial summation in visual cortex
Adesnik, H., Bruns, W., Taniguchi, H., Huang, Z. J., & Scanziani, M. (2012) · Nature · doi:10.1038/nature11526 · Cited by 702 · see citing works
Visual input evokes transient and strong shunting inhibition in visual cortical neurons
Graham, L. J., Monier, C., & Frégnac, Y. (1998) · Nature · doi:10.1038/30735 · Cited by 669 · see citing works
Orientation Selectivity in Macaque V1: Diversity and Laminar Dependence
Ringach, D. L., Shapley, R. M., & Hawken, M. J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-13-05639.2002 · Cited by 653 · see citing works
Cellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628 · see citing works
Activation of specific interneurons improves V1 feature selectivity and visual perception
Lee, S.-H., Kwan, A. C., Zhang, S., Phoumthipphavong, V., Flannery, J. G., Masmanidis, S. C., Taniguchi, H., Huang, Z. J., Zhang, F., Boyden, E. S., et al. (2012) · Nature · doi:10.1038/nature11312 · Cited by 593 · see citing works
Two dynamically distinct inhibitory networks in layer 4 of the neocortex
Beierlein, M., Gibson, J. R., & Connors, B. W. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00283.2003 · Cited by 591 · see citing works
Oscillations in local field potentials of the primate motor cortex during voluntary movement.
Sanes, J. N., & Donoghue, J. P. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.10.4470 · Cited by 583 · see citing works
Division and subtraction by distinct cortical inhibitory networks in vivo
Wilson, N. R., Runyan, C. A., Wang, F. L., & Sur, M. (2012) · Nature · doi:10.1038/nature11347 · Cited by 568 · see citing works
Li, X., Gutierrez, D. V., Hanson, M. G., Han, J., Mark, M. D., Chiel, H. J., Hegemann, P., Landmesser, L. T., & Herlitze, S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509030102 · Cited by 543 · see citing works
Self-citationInhibition dominates sensory responses in the awake cortex
Haider, B., Häusser, M., & Carandini, M. (2012) · Nature · doi:10.1038/nature11665 · Cited by 541 · see citing works
Distinct behavioural and network correlates of two interneuron types in prefrontal cortex
Kvitsiani, D., Ranade, S., Hangya, B., Taniguchi, H., Huang, J. Z., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12176 · Cited by 516 · see citing works
Interneuron Diversity series: Inhibitory interneurons and network oscillations in vitro
Whittington, M. A., & Traub, R. D. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.09.016 · Cited by 497 · see citing works
Millisecond-Timescale Optical Control of Neural Dynamics in the Nonhuman Primate Brain
Han, X., Qian, X., Bernstein, J. G., Zhou, H., Franzesi, G. T., Stern, P., Bronson, R. T., Graybiel, A. M., Desimone, R., & Boyden, E. S. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.011 · Cited by 497 · see citing works
The pairwise phase consistency: A bias-free measure of rhythmic neuronal synchronization
Vinck, M. A., van Wingerden, M., Womelsdorf, T., Fries, P., & Pennartz, C. M. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.073 · Cited by 483 · see citing works
Differences in Gamma Frequencies across Visual Cortex Restrict Their Possible Use in Computation
Ray, S., & Maunsell, J. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.004 · Cited by 439 · see citing works
Cortical Enlightenment: Are Attentional Gamma Oscillations Driven by ING or PING?
Tiesinga, P. H. E., & B, T. J. S. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.009 · Cited by 421 · see citing works
Temporal precision in the neural code and the timescales of natural vision
Butts, D. A., Weng, C., Jin, J., Yeh, C.-I., Lesica, N. A., Alonso, J., & Stanley, G. B. (2007) · Nature · doi:10.1038/nature06105 · Cited by 415 · see citing works
Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex
Montemurro, M. A., Rasch, M. J., Murayama, Y., Logothetis, N. K., & Panzeri, S. (2008) · Current Biology · doi:10.1016/j.cub.2008.02.023 · Cited by 389 · see citing works
Self-citationNeocortical Somatostatin-Expressing GABAergic Interneurons Disinhibit the Thalamorecipient Layer 4
Xu, H., Jeong, H.-Y., Tremblay, R., & Rudy, B. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.004 · Cited by 366 · see citing works
Cortical gamma band synchronization through somatostatin interneurons
Veit, J., Hakim, R., Jadi, M. P., B, T. J. S. A., & Adesnik, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4562 · Cited by 364 · see citing works
Dynamic circuit motifs underlying rhythmic gain control, gating and integration
Womelsdorf, T., Valiante, T. A., Sahin, N. T., Miller, K. J., & Tiesinga, P. (2014) · Nature Neuroscience · doi:10.1038/nn.3764 · Cited by 341 · see citing works
Inhibition-induced theta resonance in cortical circuits
Stark, E., Eichler, R., Roux, L., Fujisawa, S., Rotstein, H. G., & Buzsáki, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.033 · Cited by 326 · see citing works
What can mice tell us about how vision works?
Huberman, A. D., & Niell, C. M. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.07.002 · Cited by 313 · see citing works
Gieselmann, M. A., & Thiele, A. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06358.x · Cited by 261 · see citing works
Lalo, E., Thobois, S., Sharott, A., Polo, G., Mertens, P., Pogosyan, A. H., & Brown, P. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5295-07.2008 · Cited by 236 · see citing works
Ma, W., Liu, B., Li, Y.-T., Huang, Z. J., Zhang, L. I., & Tao, H. W. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3248-10.2010 · Cited by 212 · see citing works
Self-citationFukunaga, I., Herb, J. T., Köllő, M., Boyden, E. S., & Schaefer, A. T. (2014) · Nature Neuroscience · doi:10.1038/nn.3760 · Cited by 201 · see citing works
Cooperative subnetworks of molecularly similar interneurons in mouse neocortex
Karnani, M. M., Jackson, J., Ayzenshtat, I., Tucciarone, J., Manoocheri, K., Snider, W. G., & Yuste, R. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.037 · Cited by 196 · see citing works
Oscillatory firing and interneuronal correlations in squirrel monkey striate cortex
Livingstone, M. S. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.6.2467 · Cited by 194 · see citing works
Fast spiking interneuron control of seizure propagation in a cortical slice model of focal epilepsy
Cammarota, M., Losi, G., Chiavegato, A., Zonta, M., & Carmignoto, G. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.238154 · Cited by 173 · see citing works
Subcortical Source and Modulation of the Narrowband Gamma Oscillation in Mouse Visual Cortex
Saleem, A. B., Lien, A. D., Krumin, M., Haider, B., Rosón, M. R., Ayaz, A., Reinhold, K., Busse, L., Carandini, M., & Harris, K. D. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.028 · Cited by 153 · see citing works
Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli
Siegle, J. H., Pritchett, D. L., & Moore, C. I. (2014) · Nature Neuroscience · doi:10.1038/nn.3797 · Cited by 139 · see citing works
Membrane Potential Dynamics of Spontaneous and Visually Evoked Gamma Activity in V1 of Awake Mice
Perrenoud, Q., Pennartz, C. M. A., & Gentet, L. J. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002383 · Cited by 136 · see citing works
Target-Specific Effects of Somatostatin-Expressing Interneurons on Neocortical Visual Processing
Cottam, J. C. H., Smith, S. L., & Häusser, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2624-13.2013 · Cited by 122 · see citing works
Kayser, C., Ince, R. A. A., & Panzeri, S. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002717 · Cited by 112 · see citing works
Vierling-Claassen, D., Cardin, J. A., Moore, C. I., & Jones, S. R. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00198 · Cited by 86 · see citing works
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 83 · see citing works
Hu, H., Ma, Y., & Agmon, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4881-10.2011 · Cited by 81 · see citing works
Lazarus, M. S., & Huang, Z. J. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00729.2010 · Cited by 77 · see citing works
Features of Neuronal Synchrony in Mouse Visual Cortex
Nase, G., Singer, W., Monyer, H., & Engel, A. K. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00480.2002 · Cited by 73 · see citing works
Vinck, M. A., & Bosman, C. A. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00035 · Cited by 72 · see citing works
Waves, Pulses, and the Theory of Neural Masses
Freeman, W. (1972) · Elsevier eBooks · doi:10.1016/b978-0-12-543102-6.50010-8 · Cited by 70 · see citing works
Esghaei, M., Daliri, M. R., & Treue, S. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00082 · Cited by 52 · see citing works
Chen, G., Rasch, M. J., Wang, R., & Zhang, X.-H. (2015) · Scientific Reports · doi:10.1038/srep17847 · Cited by 43 · see citing works
Self-citationMiao, Q., Yao, L., Rasch, M. J., Ye, Q., Li, X., & Zhang, X. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.07.013 · Cited by 32 · see citing works
Self-citationNonlinear multiplicative dendritic integration in neuron and network models
Zhang, D., Li, Y., Rasch, M. J., & Wu, S. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00056 · Cited by 28 · see citing works
Self-citationTimescales of Multineuronal Activity Patterns Reflect Temporal Structure of Visual Stimuli
Jurjuţ, O. F., Nikolić, D., Singer, W., Yu, S. P., Havenith, M. N., & Muresan, R. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016758 · Cited by 9 · see citing works
Zhang, L. A., & Li, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064492 · Cited by 6 · see citing works
Gamma oscillations in the mouse primary visual cortex as an endophenotype of schizophrenia
Welle, C. G. (2010) · ScholarlyCommons (University of Pennsylvania) · Cited by 3 · see citing works
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Cardin, J. A. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.07.015 · Cited by 254 · see citing works
Abbas, A. I., Sundiang, M. J. M., Henoch, B., Morton, M. P., Bolkan, S. S., Park, A. J., Harris, A. Z., Kellendonk, C., & Gordon, J. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.029 · Cited by 183 · see citing works
Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129 · see citing works
Murthy, S., Kane, G. A., Katchur, N. J., Lara Mejia, P. S., Obiofuma, G., Buschman, T. J., McEwen, B. S., & Gould, E. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.02.021 · Cited by 118 · see citing works
Borie, A. M., Dromard, Y., Guillon, G., Olma, A., Manning, M., Muscatelli, F., Desarménien, M. G., & Jeanneteau, F. (2021) · Journal of Clinical Investigation · doi:10.1172/jci144450 · Cited by 41 · see citing works
Reinhard, S. M., Abundez-Toledo, M., Espinoza, K., & Razak, K. A. (2019) · Hearing Research · doi:10.1016/j.heares.2019.107781 · Cited by 15 · see citing works
Li, R., Zeng, Q., Ji, M., Zhang, Y., Mao, M., Feng, S., Duan, M., & Zhou, Z. (2025) · Journal of Biomedical Research · doi:10.7555/jbr.37.20230318 · Cited by 1 · see citing works
Self-citation
- Authors
- Chen, G., Zhang, Y., Li, X., Zhao, X., Ye, Q., Lin, Y., Tao, H. W., Rasch, M. J., & Zhang, X.
- Affiliations
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- McGovern Institute for Brain Research (US)
- University of Southern California (US)
- Corresponding author
- Rasch, Malte J.
- Zhang, Xiaohui
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 96
- Issue
- 6
- Pages
- 1403-1418.e6
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC5864125
- OpenAlex
- W2778754068
- Cited by
- 345
- References
- 85
- Citations by year
- 2026: 36 · 2025: 48 · 2024: 41 · 2023: 39 · 2022: 39 · 2021: 56 · 2020: 37 · 2019: 19 · 2018: 27 · 2017: 1 · 2014: 1
- FWCI
- 13.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- State Key Research Program of China (2011CBA00404, 2014CB846101)
- Interdisciplinary Research Funds of Beijing Normal University
- MIT Greater China for Innovation Fund
- National Natural Science Foundation of China (31628007)
- NIH (EY019049, EY025722)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- cortical oscillations, beta oscillations, gamma oscillations, somatostatin interneurons, parvalbumin interneurons, inhibitory interneurons, primary visual cortex, spontaneous oscillations, visual stimulation, neuronal synchronization
- MeSH terms
- Channelrhodopsins, Action Potentials, Animals, Beta Rhythm, Cerebral Cortex, Electric Stimulation, Exercise Test, Female, Luminescent Proteins, Male, Mice, Inbred C57BL, Mice, Transgenic, Neural Inhibition, Neurons, Parvalbumins, Photic Stimulation, Somatostatin, Spectrum Analysis, Mice, Gamma Rhythm
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 ›
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