Thalamocortical inhibitory dynamics support conscious perception
Open accessAbstract
Whether thalamocortical interactions play a decisive role in conscious perception remains an open question. We presented rapid red/green color flickering stimuli, which induced the mental perception of either an illusory orange color or non-fused red and green colors. Using magnetoencephalography, we observed 6-Hz thalamic activity associated with thalamocortical inhibitory coupling only during the conscious perception of the illusory orange color. This sustained thalamic disinhibition was temporally coupled with higher visual cortical activation during the conscious perception of the orange color, providing neurophysiological evidence of the role of thalamocortical synchronization in conscious awareness of mental representation. Bayesian model comparison consistently supported the thalamocortical model in conscious perception. Taken together, experimental and theoretical evidence established the thalamocortical inhibitory network as a gateway to conscious mental representations.
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Lactate and glutamate may be dissociated from BOLD changes when cortical input and output are differentially modulated by, for example, intracortical or thalamocortical inhibition.
“Our results suggest that lactate and glutamate may be dissociated from BOLD changes when cortical input and output are differentially modulated by for example, intracortical (Viswanathan and Freeman, 2007) or thalamocortical (Min et al., 2020) inhibition.”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Min et al., 2020
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Cites
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · see citing works
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D., & Leahy, R. M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/879716 · Cited by 3,625 · see citing works
Self-citationShaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · see citing works
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Fermaglich, J. (1982) · JAMA · doi:10.1001/jama.1982.03320380071046 · Cited by 1,557 · see citing works
Crick, F., & Koch, C. (2003) · Nature Neuroscience · doi:10.1038/nn0203-119 · Cited by 1,492 · see citing works
Jansen, B. H., & Rit, V. G. (1995) · Biological Cybernetics · doi:10.1007/bf00199471 · Cited by 1,159 · see citing works
Neural mechanisms underlying brain waves: from neural membranes to networks
Lopes da Silva, F. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90044-5 · Cited by 1,112 · see citing works
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
Vialatte, F.-B., Maurice, M., Dauwels, J., & Cichocki, A. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.11.005 · Cited by 1,066 · cited 1× · see citing works
“However, rather than such alpha oscillations related to functional gating of input stimulus, brain oscillatory responses specifically at 9 Hz were dominantly detected because the present study employed the repetitive presentation of visual stimuli at a fixed flickering frequency; this is known as a steady-state visual…”
The pulvinar regulates information transmission between cortical areas based on attention demands
Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016 · see citing works
Variational free energy and the Laplace approximation
Friston, K., Mattout, J., Trujillo-Barreto, N., Ashburner, J., & Penny, W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.035 · Cited by 880 · see citing works
Resolving human object recognition in space and time
Cichy, R. M., Pantazis, D., & Oliva, A. (2014) · Nature Neuroscience · doi:10.1038/nn.3635 · Cited by 832 · see citing works
Self-citationThalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809 · see citing works
(2000) · Cited by 778 · see citing works
On the actions that one nerve cell can have on another: distinguishing “drivers” from “modulators”
Sherman, S. M., & Guillery, R. W. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.7121 · Cited by 746 · cited 2× · see citing works
“Since interactions between the TRN and thalamic relay cells are essential for thalamocortical synchronization (Sherman and Guillery, 1998), the TRN-mediated inhibitory control over the thalamocortical interactions may play an essential role in orchestrating all the relevant processes in conscious perception.”
Model of brain rhythmic activity
Lopes, F. H. D. S., Hoeks, A. P. G., Smits, H., & Zetterberg, L. H. (1974) · Kybernetik · doi:10.1007/bf00270757 · Cited by 734 · see citing works
The neuronal basis for consciousness
The American Association for Research into Nervous and Mental Diseases, Llinás, R., Ribary, U., Contreras, D., & Pedroarena, C. M. (1998) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1998.0336 · Cited by 710 · see citing works
The Human Thalamus Is an Integrative Hub for Functional Brain Networks
Hwang, K., Bertolero, M. A., Liu, W. B., & D’Esposito, M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0067-17.2017 · Cited by 634 · see citing works
A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG
Huang, M., Mosher, J. C., & Leahy, R. M. (1999) · Physics in Medicine and Biology · doi:10.1088/0031-9155/44/2/010 · Cited by 615 · see citing works
The Human Central Nervous System: A Synopsis and Atlas
Nieuwenhuys, R., Voogd, J., & van Huijzen, C. (2012) · Medical Entomology and Zoology · Cited by 543 · see citing works
Visual pigments of rods and cones in a human retina.
Bowmaker, J. K., & Dartnall, H. J. A. (1980) · The Journal of Physiology · doi:10.1113/jphysiol.1980.sp013097 · Cited by 541 · see citing works
Preserved Feedforward But Impaired Top-Down Processes in the Vegetative State
Boly, M., Garrido, M. I., Gosseries, O., Bruno, M., Boveroux, P., Caroline Schnakers, A., Massimini, M., Vladimir Litvak, A., Laureys, S., & Friston, K. J. (2011) · Science · doi:10.1126/science.1202043 · Cited by 499 · see citing works
Deep Cortical Layers Are Activated Directly by Thalamus
Constantinople, C. M., & Bruno, R. M. (2013) · Science · doi:10.1126/science.1236425 · Cited by 484 · see citing works
Broadband Cortical Desynchronization Underlies the Human Psychedelic State
Muthukumaraswamy, S. D., Carhart-Harris, R. L., Moran, R., Brookes, M. J., Williams, T. M., Errtizoe, D., Sessa, B., Papadopoulos, A., Bolstridge, M., Singh, K. D., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2063-13.2013 · Cited by 465 · see citing works
(2014) · IEEE Pulse · doi:10.1109/mpul.2014.2316040 · Cited by 456 · see citing works
The architecture of the colour centre in the human visual brain: new results and a review *
Bartels, A., & Zeki, S. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00905.x · Cited by 454 · see citing works
Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
Bollimunta, A., Mo, J., Schroeder, C. E., & Ding, M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5580-10.2011 · Cited by 441 · see citing works
(2001) · Elsevier eBooks · doi:10.1016/b978-0-12-305460-9.x5013-8 · Cited by 355 · see citing works
The Cognitive Thalamus as a Gateway to Mental Representations
Wolff, M., & Vann, S. D. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0479-18.2018 · Cited by 340 · see citing works
The Human Central Nervous System: A Synopsis and Atlas
Clayman, C. Β. (1979) · JAMA · doi:10.1001/jama.1979.03300140055030 · Cited by 332 · see citing works
Connectivity Changes Underlying Spectral EEG Changes during Propofol-Induced Loss of Consciousness
Boly, M., Moran, R., Murphy, M., Boveroux, P., Bruno, M., Noirhomme, Q., Ledoux, D., Bonhomme, V. L., Brichant, J.-F., Tononi, G., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3769-11.2012 · Cited by 307 · see citing works
The neurophysics of consciousness
John, E. R. (2002) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00142-x · Cited by 262 · see citing works
A neurophysiologically-based mathematical model of flash visual evoked potentials
Jansen, B. H., Zouridakis, G., & Brandt, M. E. (1993) · Biological Cybernetics · doi:10.1007/bf00224863 · Cited by 258 · see citing works
Neural masses and fields in dynamic causal modeling
Moran, R., Pinotsis, D. A., & Friston, K. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00057 · Cited by 255 · see citing works
Self-citationThalamic dual control of sleep and wakefulness
Gent, T. C., Bandarabadi, M., Herrera, C. G., & Adamantidis, A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0164-7 · Cited by 242 · see citing works
Consciousness and the Brain: The Thalamocortical Dialogue in Health and Disease
LLINÁS, R., & RIBARY, U. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05715.x · Cited by 227 · see citing works
Attal, Y., & Schwartz, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059856 · Cited by 200 · see citing works
Vijayan, S., Ching, S., Purdon, P. L., Brown, E. N., & Kopell, N. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5670-12.2013 · Cited by 199 · see citing works
Dynamic causal models of steady-state responses
Moran, R. J., Stephan, K. E., Seidenbecher, T., Pape, H.-C., Dolan, R. J., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.048 · Cited by 195 · see citing works
LFP and oscillations—what do they tell us?
Friston, K. J., Bastos, A. M., Pinotsis, D. A., & Vladimir Litvak, A. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.05.004 · Cited by 187 · see citing works
Self-citationAlterations in Brain Connectivity Underlying Beta Oscillations in Parkinsonism
Moran, R., Mallet, N. P., Vladimir Litvak, A., Dolan, R. J., Magill, P. J., Friston, K. J., & Brown, P. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002124 · Cited by 178 · see citing works
The thalamic dynamic core theory of conscious experience
Ward, L. M. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.01.007 · Cited by 160 · see citing works
Bastos, A. M., Litvak, V., Moran, R., Bosman, C. A., Fries, P., & Friston, K. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.081 · Cited by 152 · see citing works
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
Krishnaswamy, P., Obregon-Henao, G., Ahveninen, J., Khan, S., Babadi, B., Iglesias, J. E., Hämäläinen, M., & Purdon, P. L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705414114 · Cited by 149 · see citing works
Pinault, D., Vergnes, M., & Marescaux, C. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00182-8 · Cited by 142 · see citing works
Atlas of the prenatal mouse brain
Schambra, U. B., Lauder, J. M., & Silver, J. (1992) · Cited by 140 · see citing works
Coppola, G., Ambrosini, A., Clemente, L. D., et al. (2007) · Cephalalgia · doi:10.1111/j.1468-2982.2007.01466.x · Cited by 139 · see citing works
Corticofugal circuits: communication lines from the cortex to the rest of the brain
Usrey, W. M., & Sherman, S. M. (2019) · Journal of Comparative Neurology · doi:10.1002/cne.24423 · Cited by 139 · see citing works
The primary visual cortex fills in color
Sasaki, Y., & Watanabe, T. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406293102 · Cited by 125 · see citing works
A thalamo–cortico–thalamic neural mass model to study alpha rhythms in Alzheimer’s disease
Bhattacharya, B. S., Coyle, D., & Maguire, L. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.02.009 · Cited by 122 · see citing works
Impaired top-down processes in schizophrenia: a DCM study of ERPs
Dima, D., Dietrich, D. E., Dillo, W., & Emrich, H. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.086 · Cited by 122 · see citing works
Distinct cortical codes and temporal dynamics for conscious and unconscious percepts
Salti, M., Monto, S., Charles, L., King, J.-R., Parkkonen, L., & Dehaene, S. (2015) · eLife · doi:10.7554/elife.05652 · Cited by 121 · see citing works
Atlas of the Prenatal Mouse Brain
(1992) · Elsevier eBooks · doi:10.1016/c2009-0-02642-7 · Cited by 118 · see citing works
Modeling Brain Resonance Phenomena Using a Neural Mass Model
Spiegler, A., Knösche, T. R., Schwab, K., Haueisen, J., & Atay, F. M. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002298 · Cited by 113 · see citing works
Modeling ketamine effects on synaptic plasticity during the mismatch negativity
Schmidt, A., Diaconescu, A. O., Kometer, M., Friston, K. J., Stephan, K. E., & Vollenweider, F. X. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs238 · Cited by 109 · see citing works
Dynamic causal modeling with neural fields
Pinotsis, D. A., Moran, R., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.020 · Cited by 101 · see citing works
Self-citationA thalamic reticular networking model of consciousness
Min, B. (2010) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-7-10 · Cited by 100 · see citing works
Self-citationSynaptic targets of thalamic reticular nucleus terminals in the visual thalamus of the cat
Wang, S., Bickford, M. E., Horn, S. C. V., Erişir, A., Godwin, D. W., & Sherman, S. M. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.1389 · Cited by 93 · see citing works
Basal ganglia–cortical interactions in Parkinsonian patients
Marreiros, A. C., Cagnan, H., Moran, R., Friston, K. J., & Brown, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.088 · Cited by 91 · see citing works
Hughes, S. W. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00193 · Cited by 84 · see citing works
Dysconnectivity in the Frontoparietal Attention Network in Schizophrenia
Roiser, J. P., Wigton, R. L., Kilner, J. M., Méndez, M. A., Hon, N., Friston, K. J., & Joyce, E. M. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00176 · Cited by 75 · see citing works
Alpha waves: a neural signature of visual suppression
Toscani, M., Marzi, T., Righi, S., Viggiano, M. P., & Baldassi, S. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2444-7 · Cited by 75 · see citing works
Contrast gain control and horizontal interactions in V1: A DCM study
Pinotsis, D. A., Brunet, N., Bastos, A., Bosman, C. A., Litvak, V., Fries, P., & Friston, K. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.047 · Cited by 68 · see citing works
Self-citationInhibitory Interactions Between Ferret Thalamic Reticular Neurons
Shu, Y., & McCormick, D. A. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00850.2001 · Cited by 67 · see citing works
Herz, D. M., Siebner, H. R., Hulme, O. J., Florin, E., Christensen, M. S., & Timmermann, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.023 · Cited by 66 · see citing works
Dima, D., Frangou, S., Burge, L., Braeutigam, S., & James, A. C. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2011.12.024 · Cited by 65 · see citing works
Modelling and detecting deep brain activity with MEG and EEG
Attal, Y., Bhattacharjee, M., Yelnik, J., Cottereau, B. R., Lefèvre, J., Okada, Y. C., Bardinet, É., Marie Chupin, A., & Baillet, S. (2009) · IRBM · doi:10.1016/j.irbm.2009.01.005 · Cited by 65 · see citing works
Pinault, D., Bourassa, J., & Deschênes, M. (1995) · Brain Research · doi:10.1016/0006-8993(94)01303-y · Cited by 64 · see citing works
Herz, D. M., Christensen, M. S., Reck, C., Florin, E., Barbe, M. T., Stahlhut, C., Pauls, K. A. M., Tittgemeyer, M., Siebner, H. R., & Timmermann, L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.042 · Cited by 56 · see citing works
Working Memory Load Modulates Neuronal Coupling
Pinotsis, D. A., Buschman, T. J., & Miller, E. K. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy065 · Cited by 51 · see citing works
Self-citationDecoding the orientation of contrast edges from MEG evoked and induced responses
Pantazis, D., Fang, M., Qin, S., Mohsenzadeh, Y., Li, Q., & Cichy, R. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.022 · Cited by 49 · see citing works
Self-citationAre virtual photons the elementary carriers of consciousness
Romijn, H. J. (2002) · Cited by 49 · see citing works
The neural substrates of conscious color perception demonstrated using fMRI
Morita, T., Kochiyama, T., Okada, T., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.019 · Cited by 48 · see citing works
Herz, D. M., Florin, E., Christensen, M. S., Reck, C., Barbe, M. T., Tscheuschler, M., Tittgemeyer, M., Siebner, H. R., & Timmermann, L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht140 · Cited by 48 · see citing works
Quax, S. C., Jensen, O. B., & Tiesinga, P. H. E. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005519 · Cited by 47 · see citing works
Adams, R. A., Bauer, M., Pinotsis, D. A., & Friston, K. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.055 · Cited by 44 · see citing works
Self-citationThalamocortical Connectivity and Microstructural Changes in Congenital and Late Blindness
Reislev, N. H., Dyrby, T. B., Siebner, H. R., Lundell, H., Ptito, M., & Kupers, R. C. (2017) · Neural Plasticity · doi:10.1155/2017/9807512 · Cited by 33 · see citing works
Responses of VPL thalamic neurones to peripheral stimulation in wakefulness and sleep
Mariotti, M., Formenti, A., & Mancia, M. (1989) · Neuroscience Letters · doi:10.1016/0304-3940(89)90309-1 · Cited by 29 · see citing works
Separating visible persistence from retinal afterimages
Lollo, V. D., Clark, C. D., & Hogben, J. H. (1988) · Perception & Psychophysics · doi:10.3758/bf03210418 · Cited by 28 · see citing works
A whole-head magnetoencephalography system with compact axial gradiometer structure
Lee, Y. H., Yu, K. K., Kwon, H.-C., Kim, J. M., Kim, K., Park, Y. K., Yang, H. C., Chen, K. L., Yang, S., & Horng, H. E. (2009) · Superconductor Science and Technology · doi:10.1088/0953-2048/22/4/045023 · Cited by 26 · see citing works
New Cognitive Neurotechnology Facilitates Studies of Cortical–Subcortical Interactions
Min, B., Hämäläinen, M., & Pantazis, D. (2020) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.03.003 · Cited by 25 · see citing works
Self-citationOn conductance-based neural field models
Pinotsis, D. A., Leite, M., & Friston, K. J. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00158 · Cited by 24 · see citing works
Self-citationPinotsis, D. A., Perry, G., Vladimir Litvak, A., Singh, K. D., & Friston, K. J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23331 · Cited by 20 · see citing works
Self-citationDas, P., Brodbeck, C. J., Simon, J. Z., & Babadi, B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116528 · Cited by 19 · see citing works
Bayesian Modelling of Induced Responses and Neuronal Rhythms
Pinotsis, D. A., Loonis, R. F., Bastos, A. M., Miller, E. K., & Friston, K. J. (2016) · Brain Topography · doi:10.1007/s10548-016-0526-y · Cited by 17 · see citing works
Self-citationGABA inactivation of area V4 changes receptive-field properties of V2 neurons in Cebus monkeys
Amorim, A. K. J., Fiorani, M., & Gattass, R. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2012.03.008 · Cited by 13 · see citing works
A neural network model of normal and abnormal auditory information processing
Du, X., & Jansen, B. M. P. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.03.002 · Cited by 13 · see citing works
A neural mass model of spontaneous burst suppression and epileptic seizures
Freestone, D. R., Nešić, D., Jafarian, A., et al. (2013) · doi:10.1109/embc.2013.6610905 · Cited by 11 · see citing works
Distinct modes of top-down cognitive processing in the ventral visual cortex
Jo, H., Kellermann, T., Baumann, C., Ito, J., Holthausen, B. S., Schneider, F. W., Grün, S., & Habel, U. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.068 · Cited by 11 · see citing works
Note: Optical receiver system for 152-channel magnetoencephalography
Kim, J., Kwon, H., Yu, K.-K., et al. (2014) · Review of Scientific Instruments · doi:10.1063/1.4902335 · Cited by 4 · see citing works
Identifying multivariate patterns for illusory color perception using decoded fMRI neurofeedback
Knotts, J., Cortese, A., Kawato, M., et al. (2018) · Journal of Vision · doi:10.1167/18.10.872 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- CIE, 1931. Commission Internationale de l' Eclairage Proceedings. Cambridge University Press, Cambridge, UK.
- Jones, E.G., 1985. The Thalamus. Plenum Press, New York.
- Penfield, W., Feindel, W., 1975. The Mystery of the Mind: A Critical Study of Consciousness and the Human Brain: with Discussions by W. Feindel Et Al. Princeton University Press.
- Pinotsis, D.A., Donoghue, J., Miller, E.K., preprint. Thalamocortical Connectivity in Anesthetized Monkeys.
- Steriade, M., Jones, E.G., McCormick, D.A., 1997. Thalamus Elsevier, Amsterdam.
Cited by
Sorted by citations
Perception is associated with the brain’s metabolic response to sensory stimulation
DiNuzzo, M., Mangia, S., Moraschi, M., Mascali, D., Hagberg, G. E., & Giove, F. (2022) · eLife · doi:10.7554/elife.71016 · Cited by 25 · see citing works
“DOI: https://doi.org/10.7554/eLife.71016 8 of 20 Freeman, 2007) or thalamocortical (Min et al., 2020) inhibition.”
BackgroundInfluential
- Authors
- Min, B.-K., Kim, H. S., Pinotsis, D. A., & Pantazis, D.
- Affiliations
- McGovern Institute for Brain Research (US)
- Korea University (KR)
- City, University of London (GB)
- Corresponding author
- Min, Byoung-Kyong
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 220
- Pages
- 117066
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W3036893484
- Cited by
- 14
- References
- 94
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 3 · 2022: 3
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by)
- PubMed (publishedVersion)
- City Research Online (City University London) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Keywords
- conscious perception, thalamic oscillations, visual cortex activation, Bayesian model selection, neural oscillations
- MeSH terms
- Adult, Cerebral Cortex, Consciousness, Female, Humans, Male, Neural Inhibition, Neural Pathways, Photic Stimulation, Thalamus, Visual Perception, Magnetoencephalography
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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