意識の神経基盤と複雑性
意識は長らく哲学や心理学において扱われてきたが,近年漸く神経科学の正当な研究対象として扱われるようになってきた。そこでは意識を科学的に扱うための実験的アプローチや情報理論に基づく数理的研究が進展してきた背景がある。本稿では神経科学における意識研究がどのように意識の問題に取り組んできたかを概観する。さらに意識と脳の複雑性の連関を踏まえた上で,統合情報理論に基づき意識の神経基盤を探求した自身の研究を紹介する...
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          | Published in | 生理心理学と精神生理学 Vol. 40; no. 1; pp. 93 - 113 | 
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| Main Author | |
| Format | Journal Article | 
| Language | Japanese | 
| Published | 
            日本生理心理学会
    
        30.04.2022
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0289-2405 2185-551X  | 
| DOI | 10.5674/jjppp.2204si | 
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| Abstract | 意識は長らく哲学や心理学において扱われてきたが,近年漸く神経科学の正当な研究対象として扱われるようになってきた。そこでは意識を科学的に扱うための実験的アプローチや情報理論に基づく数理的研究が進展してきた背景がある。本稿では神経科学における意識研究がどのように意識の問題に取り組んできたかを概観する。さらに意識と脳の複雑性の連関を踏まえた上で,統合情報理論に基づき意識の神経基盤を探求した自身の研究を紹介する | 
    
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| AbstractList | 【要約】意識は長らく哲学や心理学において扱われてきたが, 近年漸く神経科学の正当な研究対象として扱われるようになってきた. そこでは意識を科学的に扱うための実験的アプローチや情報理論に基づく数理的研究が進展してきた背景がある. 本稿では神経科学における意識研究がどのように意識の問題に取り組んできたかを概観する. さらに意識と脳の複雑性の連関を踏まえた上で, 統合情報理論に基づき意識の神経基盤を探求した自身の研究を紹介する. 意識は長らく哲学や心理学において扱われてきたが,近年漸く神経科学の正当な研究対象として扱われるようになってきた。そこでは意識を科学的に扱うための実験的アプローチや情報理論に基づく数理的研究が進展してきた背景がある。本稿では神経科学における意識研究がどのように意識の問題に取り組んできたかを概観する。さらに意識と脳の複雑性の連関を踏まえた上で,統合情報理論に基づき意識の神経基盤を探求した自身の研究を紹介する  | 
    
| Author | 小野田, 慶一 | 
    
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| Copyright | 2022 日本生理心理学会 | 
    
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| References | Lee, M., Sanders, R. D., Yeom, S.-K., Won, D.-O., Seo, K.-S., Kim, H. J., ... Lee, S.-W. (2017). Network properties in transitions of consciousness during propofol-induced sedation. Scientific Reports, 7(1), 16791. https://doi.org/10.1038/s41598-017-15082-5 Babiloni, C., Pistoia, F., Sarà, M., Vecchio, F., Buffo, P., Conson, M., ... Rossini, P. M. (2010). Resting state eyes-closed cortical rhythms in patients with locked-in-syndrome: An EEG study. Clinical Neurophysiology, 121(11), 1816–1824. https://doi.org/10.1016/j.clinph.2010.04.027 Seth, A. K., Barrett, A. B., & Barnett, L. (2011). Causal density and integrated information as measures of conscious level. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1952), 3748–3767. https://doi.org/10.1098/rsta.2011.0079 Toker, D., & Sommer, F. T. (2019). Information integration in large brain networks. PLOS Computational Biology, 15(2), e1006807. https://doi.org/10.1371/journal.pcbi.1006807 Schnakers, C., Vanhaudenhuyse, A., Giacino, J., Ventura, M., Boly, M., Majerus, S., ... Laureys, S. (2009). Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment. BMC Neurology, 9(1), 35. https://doi.org/10.1186/1471-2377-9–35 Searle, J. R. (2000). Consciousness. Annual Review of Neuroscience, 23, 557–578. https://doi.org/10.1146/annurev.neuro.23.1.557 Kanai, R., & Tsuchiya, N. (2012). Qualia. Current Biology, 22(10), R392–R396. https://doi.org/10.1016/j.cub.2012.03.033 Owen, A. M., Coleman, M. R., Boly, M., Davis, M. H., Laureys, S., & Pickard, J. D. (2006). Detecting Awareness in the Vegetative State. Science. https://doi.org/10.1126/science.1130197 Liu, X., Lauer, K. K., Ward, B. D., Roberts, C. J., Liu, S., Gollapudy, S., ... Hudetz, A. G. (2019). Regional entropy of functional imaging signals varies differently in sensory and cognitive systems during propofol-modulated loss and return of behavioral responsiveness. Brain Imaging and Behavior, 13(2), 514–525. https://doi.org/10.1007/s11682-018-9886-0 Laureys, S., Owen, A. M., & Schiff, N. D. (2004). Brain function in coma, vegetative state, and related disorders. The Lancet. Neurology, 3(9), 537–546. https://doi.org/10.1016/S1474-4422(04)00852-X Friston, K. J., Wiese, W., & Hobson, J. A. (2020). Sentience and the origins of consciousness: From cartesian duality to markovian monism. Entropy, 22(5), E516. https://doi.org/10.3390/e22050516 Barrett, A. B., & Seth, A. K. (2011). Practical measures of integrated information for time-series data. PLOS Computational Biology, 7(1), e1001052. https://doi.org/10.1371/journal.pcbi.1001052 Gazzaniga, M. S. (2005). Forty-five years of split-brain research and still going strong. Nature Reviews Neuroscience, 6(8), 653–659. https://doi.org/10.1038/nrn1723 Tononi, G. (2004). An information integration theory of consciousness. BMC Neuroscience, 5, 42. https://doi.org/10.1186/1471-2202-5–42 Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016). Integrated information theory: From consciousness to its physical substrate. Nature Reviews Neuroscience, 17(7), 450–461. https://doi.org/10.1038/nrn.2016.44 Massimini, M., Ferrarelli, F., Huber, R., Esser, S. K., Singh, H., & Tononi, G. (2005). Breakdown of cortical effective connectivity during sleep. Science, 309(5744), 2228–2232. https://doi.org/10.1126/science.1117256 Koch, C. (2004). The quest for consciousness a neurobiological approach. Roberts & Co. Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020). Conscious processing and the global neuronal workspace hypothesis. Neuron, 105(5), 776–798. https://doi.org/10.1016/j.neuron.2020.01.026 D’Andola, M., Rebollo, B., Casali, A. G., Weinert, J. F., Pigorini, A., Villa, R., ... Sanchez-Vives, M. V. (2018). Bistability, causality, and complexity in cortical networks: An in vitro perturbational study. Cerebral Cortex, 28(7), 2233–2242. https://doi.org/10.1093/cercor/bhx122 Block, N. (1995). On a confusion about a function of consciousness. Behavioral and Brain Sciences, 18(2), 227–247. https://doi.org/10.1017/S0140525X00038188 Rosanova, M., Fecchio, M., Casarotto, S., Sarasso, S., Casali, A. G., Pigorini, A., ... Massimini, M. (2018). Sleep-like cortical OFF-periods disrupt causality and complexity in the brain of unresponsive wakefulness syndrome patients. Nature Communications, 9(1), 4427. https://doi.org/10.1038/s41467-018-06871-1 Schiff, N. D. (2010). Recovery of consciousness after brain injury: A mesocircuit hypothesis. Trends in Neurosciences, 33(1), 1–9. https://doi.org/10.1016/j.tins.2009.11.002 Hohwy, J. (2013). The predictive mind. Oxford University Press UK. Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106(6), 467–482. Koch, C., & Tsuchiya, N. (2012). Attention and consciousness: Related yet different. Trends in Cognitive Sciences, 16(2), 103–105. https://doi.org/10.1016/j.tics.2011.11.012 Witter, L., & De Zeeuw, C. I. (2015). Regional functionality of the cerebellum. Current Opinion in Neurobiology, 33, 150–155. https://doi.org/10.1016/j.conb.2015.03.017 Hohwy, J. (2009). The neural correlates of consciousness: New experimental approaches needed? Consciousness and Cognition, 18(2), 428–438. https://doi.org/10.1016/j.concog.2009.02.006 Tononi, G. (2008). Consciousness as integrated information: A provisional manifesto. The Biological Bulletin, 215(3), 216–242. https://doi.org/10.2307/25470707 Block, N. (2005). Two neural correlates of consciousness. Trends in Cognitive Sciences, 9(2), 46–52. https://doi.org/10.1016/j.tics.2004.12.006 Siclari, F., Bernardi, G., Cataldi, J., & Tononi, G. (2018). Dreaming in NREM sleep: A high-density EEG study of slow waves and spindles. Journal of Neuroscience, 38(43), 9175–9185. https://doi.org/10.1523/JNEUROSCI.0855-18.2018 Usami, K., Korzeniewska, A., Matsumoto, R., Kobayashi, K., Hitomi, T., Matsuhashi, M., ... Crone, N. E. (2019). The neural tides of sleep and consciousness revealed by single-pulse electrical brain stimulation. Sleep, 42(6), zsz050. https://doi.org/10.1093/sleep/zsz050 Dehaene, S. (2014). Consciousness and the brain: Deciphering how the brain codes our thoughts. Viking. Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E., & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), 1035. https://doi.org/10.1038/s41467-019-08934-3 Boly, M., Seth, A. K., Wilke, M., Ingmundson, P., Baars, B., Laureys, S., Edelman, D. B., & Tsuchiya, N. (2013). Consciousness in humans and non-human animals: Recent advances and future directions. Frontiers in Psychology, 4, 625. https://doi.org/10.3389/fpsyg.2013.00625 Dehaene, S., & Changeux, J.-P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70(2), 200–227. https://doi.org/10.1016/j.neuron.2011.03.018 Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., ... Saalmann, Y. B. (2020). Thalamus modulates consciousness via layer-specific control of cortex. Neuron, 106(1), 66–75.e12. https://doi.org/10.1016/j.neuron.2020.01.005 Steriade, M., Nunez, A., & Amzica, F. (1993). A novel slow (<1 Hz) oscillation of neocortical neurons in vivo: Depolarizing and hyperpolarizing components. Journal of Neuroscience, 13(8), 3252–3265. https://doi.org/10.1523/JNEUROSCI.13-08-03252.1993 Sporns, O. (2018). Graph theory methods: Applications in brain networks. Dialogues in Clinical Neuroscience, 20(2), 111–121. Brown, R., Lau, H., & LeDoux, J. E. (2019). Understanding the higher-order approach to consciousness. Trends in Cognitive Sciences, 23(9), 754–768. https://doi.org/10.1016/j.tics.2019.06.009 Konkoly, K. R., Appel, K., Chabani, E., Mangiaruga, A., Gott, J., Mallett, R., ... Paller, K. A. (2021). Real-time dialogue between experimenters and dreamers during REM sleep. Current Biology, 31(7), 1417–1427.e6. https://doi.org/10.1016/j.cub.2021.01.026 Baird, B., Castelnovo, A., Gosseries, O., & Tononi, G. (2018). Frequent lucid dreaming associated with increased functional connectivity between frontopolar cortex and temporoparietal association areas. Scientific Reports, 8(1), 17798. https://doi.org/10.1038/s41598-018-36190-w Pitts, M. A., Metzler, S., & Hillyard, S. A. (2014). Isolating neural correlates of conscious perception from neural correlates of reporting one’s perception. Frontiers in Psychology, 5, 1078. https://doi.org/10.3389/fpsyg.2014.01078 Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014). Binocular rivalry: Frontal activity relates to introspection and action but not to perception. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 34(5), 1738–1747. https://doi.org/10.1523/JNEUROSCI.4403-13.2014 Tsakiris, M., Hesse, M. D., Boy, C., Haggard, P., & Fink, G. R. (2007). Neural signatures of body ownership: A sensory network for bodily self-consciousness. Cerebral Cortex (New York, N.Y.: 1991), 17(10), 2235–2244. https://doi.org/10.1093/cercor/bhl131 Breitmeyer, B. G., & Ogmen, H. (2000). Recent models and findings in visual backward masking: A comparison, review, and update. Perception & Psychophysics, 62(8), 1572–1595. https://doi.org/10.3758/bf03212157 Huang, Z., Vlisides, P. E., Tarnal, V. C., Janke, E. L., Keefe, K. M., Collins, M. M., ... Hudetz, A. G. (2018). Brain imaging reveals covert consciousness during behavioral unresponsiveness induced by propofol. Scientific Reports, 8(1), 13195. https://doi.org/10.1038/s41598-018-31436-z Oizumi, M., Tsuchiya, N., & Amari, S.-I. (2016). Unified framework for information integration based on information geometry. Proceedings of the National Academy of Sciences of the United States of America, 113(51), 14817–14822. https://doi.org/10.1073/pnas.1603583113 Bekinschtein, T. A., Dehaene, S.,  | 
    
| References_xml | – reference: Schnakers, C., Vanhaudenhuyse, A., Giacino, J., Ventura, M., Boly, M., Majerus, S., ... Laureys, S. (2009). Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment. BMC Neurology, 9(1), 35. https://doi.org/10.1186/1471-2377-9–35 – reference: Markov, N. T., Ercsey-Ravasz, M., Lamy, C., Gomes, A. R. R., Magrou, L., Misery, P., ... Kennedy, H. (2013). The role of long-range connections on the specificity of the macaque interareal cortical network. Proceedings of the National Academy of Sciences, 110(13), 5187–5192. https://doi.org/10.1073/pnas.1218972110 – reference: Safron, A. (2020). An Integrated World Modeling Theory (IWMT) of consciousness: Combining integrated information and global neuronal workspace theories with the free energy principle and active inference framework; Toward solving the hard problem and characterizing agentic causation. Frontiers in Artificial Intelligence, 3, 30. https://doi.org/10.3389/frai.2020.00030 – reference: Baird, B., Castelnovo, A., Gosseries, O., & Tononi, G. (2018). Frequent lucid dreaming associated with increased functional connectivity between frontopolar cortex and temporoparietal association areas. Scientific Reports, 8(1), 17798. https://doi.org/10.1038/s41598-018-36190-w – reference: Johanson, M., Revonsuo, A., Chaplin, J., & Wedlund, J.-E. (2003). Level and contents of consciousness in connection with partial epileptic seizures. Epilepsy & Behavior: E&B, 4(3), 279–285. https://doi.org/10.1016/s1525-5050(03)00106-9 – reference: Panksepp, J. (2005). Affective consciousness: Core emotional feelings in animals and humans. Consciousness and Cognition, 14(1), 30–80. https://doi.org/10.1016/j.concog.2004.10.004 – reference: Bayne, T., Hohwy, J., & Owen, A. M. (2016). Are there levels of consciousness? Trends in Cognitive Sciences, 20(6), 405–413. https://doi.org/10.1016/j.tics.2016.03.009 – reference: Schiff, N. D. (2010). Recovery of consciousness after brain injury: A mesocircuit hypothesis. Trends in Neurosciences, 33(1), 1–9. https://doi.org/10.1016/j.tins.2009.11.002 – reference: Friston, K. J., Wiese, W., & Hobson, J. A. (2020). Sentience and the origins of consciousness: From cartesian duality to markovian monism. Entropy, 22(5), E516. https://doi.org/10.3390/e22050516 – reference: Aru, J., Suzuki, M., & Larkum, M. E. (2020). Cellular mechanisms of conscious processing. Trends in Cognitive Sciences, 24(10), 814–825. https://doi.org/10.1016/j.tics.2020.07.006 – reference: Casarotto, S., Comanducci, A., Rosanova, M., Sarasso, S., Fecchio, M., Napolitani, M., ... Massimini, M. (2016). Stratification of unresponsive patients by an independently validated index of brain complexity. Annals of Neurology, 80(5), 718–729. https://doi.org/10.1002/ana.24779 – reference: McClelland, J. L. (2010). Emergence in cognitive science. Topics in Cognitive Science, 2(4), 751–770. https://doi.org/10.1111/j.1756-8765.2010.01116.x – reference: Searle, J. R. (2000). Consciousness. Annual Review of Neuroscience, 23, 557–578. https://doi.org/10.1146/annurev.neuro.23.1.557 – reference: Dehaene, S., Sergent, C., & Changeux, J.-P. (2003). A neuronal network model linking subjective reports and objective physiological data during conscious perception. Proceedings of the National Academy of Sciences, 100(14), 8520–8525. https://doi.org/10.1073/pnas.1332574100 – reference: Koch, C., & Laurent, G. (1999). Complexity and the nervous system. Science, 284(5411), 96–98. https://doi.org/10.1126/science.284.5411.96 – reference: Farnes, N., Juel, B. E., Nilsen, A. S., Romundstad, L. G., & Storm, J. F. (2020). Increased signal diversity/complexity of spontaneous EEG, but not evoked EEG responses, in ketamine-induced psychedelic state in humans. PloS One, 15(11), e0242056. https://doi.org/10.1371/journal.pone.0242056 – reference: Karahanoğlu, F. I., Caballero-Gaudes, C., Lazeyras, F., & Van De Ville, D. (2013). Total activation: FMRI deconvolution through spatio-temporal regularization. NeuroImage, 73, 121–134. https://doi.org/10.1016/j.neuroimage.2013.01.067 – reference: Sinitsyn, D. O., Poydasheva, A. G., Bakulin, I. S., Legostaeva, L. A., Iazeva, E. G., Sergeev, D. V., ... Piradov, M. A. (2020). Detecting the potential for consciousness in unresponsive patients using the perturbational complexity index. Brain Sciences, 10(12), E917. https://doi.org/10.3390/brainsci10120917 – reference: Dehaene, S., & Changeux, J.-P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70(2), 200–227. https://doi.org/10.1016/j.neuron.2011.03.018 – reference: Kanai, R., & Tsuchiya, N. (2012). Qualia. Current Biology, 22(10), R392–R396. https://doi.org/10.1016/j.cub.2012.03.033 – reference: Ren, S., Wang, Y., Yue, F., Cheng, X., Dang, R., Qiao, Q., ... Hu, Z. (2018). The paraventricular thalamus is a critical thalamic area for wakefulness. Science (New York, N.Y.), 362(6413), 429–434. https://doi.org/10.1126/science.aat2512 – reference: Pitts, M. A., Metzler, S., & Hillyard, S. A. (2014). Isolating neural correlates of conscious perception from neural correlates of reporting one’s perception. Frontiers in Psychology, 5, 1078. https://doi.org/10.3389/fpsyg.2014.01078 – reference: Pigorini, A., Sarasso, S., Proserpio, P., Szymanski, C., Arnulfo, G., Casarotto, S., ... Massimini, M. (2015). Bistability breaks-off deterministic responses to intracortical stimulation during non-REM sleep. NeuroImage, 112, 105–113. https://doi.org/10.1016/j.neuroimage.2015.02.056 – reference: Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52(3), 1059–1069. https://doi.org/10.1016/j.neuroimage.2009.10.003 – reference: Dehaene, S. (2014). Consciousness and the brain: Deciphering how the brain codes our thoughts. Viking. – reference: Baars, B. J. (1989). A cognitive theory of consciousness. Cambridge University Press. – reference: Block, N. (2005). Two neural correlates of consciousness. Trends in Cognitive Sciences, 9(2), 46–52. https://doi.org/10.1016/j.tics.2004.12.006 – reference: Kitazono, J., Kanai, R., & Oizumi, M. (2020). Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks, 132, 232–244. https://doi.org/10.1016/j.neunet.2020.08.020 – reference: Siclari, F., Bernardi, G., Cataldi, J., & Tononi, G. (2018). Dreaming in NREM sleep: A high-density EEG study of slow waves and spindles. Journal of Neuroscience, 38(43), 9175–9185. https://doi.org/10.1523/JNEUROSCI.0855-18.2018 – reference: Aru, J., Bachmann, T., Singer, W., & Melloni, L. (2012). Distilling the neural correlates of consciousness. Neuroscience & Biobehavioral Reviews, 36(2), 737–746. https://doi.org/10.1016/j.neubiorev.2011.12.003 – reference: Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., ... Saalmann, Y. B. (2020). Thalamus modulates consciousness via layer-specific control of cortex. Neuron, 106(1), 66–75.e12. https://doi.org/10.1016/j.neuron.2020.01.005 – reference: Toker, D., & Sommer, F. T. (2019). Information integration in large brain networks. PLOS Computational Biology, 15(2), e1006807. https://doi.org/10.1371/journal.pcbi.1006807 – reference: Cai, L., Wang, J., Guo, Y., Lu, M., Dong, Y., & Wei, X. (2020). Altered inter-frequency dynamics of brain networks in disorder of consciousness. Journal of Neural Engineering, 17(3), 036006. https://doi.org/10.1088/1741-2552/ab8b2c – reference: Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E., & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), 1035. https://doi.org/10.1038/s41467-019-08934-3 – reference: Konkoly, K. R., Appel, K., Chabani, E., Mangiaruga, A., Gott, J., Mallett, R., ... Paller, K. A. (2021). Real-time dialogue between experimenters and dreamers during REM sleep. Current Biology, 31(7), 1417–1427.e6. https://doi.org/10.1016/j.cub.2021.01.026 – reference: Sterpenich, V., Perogamvros, L., Tononi, G., & Schwartz, S. (2020). Fear in dreams and in wakefulness: Evidence for day/night affective homeostasis. Human Brain Mapping, 41(3), 840–850. https://doi.org/10.1002/hbm.24843 – reference: Lee, M., Sanders, R. D., Yeom, S.-K., Won, D.-O., Seo, K.-S., Kim, H. J., ... Lee, S.-W. (2017). Network properties in transitions of consciousness during propofol-induced sedation. Scientific Reports, 7(1), 16791. https://doi.org/10.1038/s41598-017-15082-5 – reference: de Graaf, T. A., & Sack, A. T. (2014). Using brain stimulation to disentangle neural correlates of conscious vision. Frontiers in Psychology, 5, 1019. https://doi.org/10.3389/fpsyg.2014.01019 – reference: Alexander, G. E., & Crutcher, M. D. (1990). Functional architecture of basal ganglia circuits: Neural substrates of parallel processing. Trends in Neurosciences, 13(7), 266–271. https://doi.org/10.1016/0166-2236(90)90107-l – reference: Huang, Z., Vlisides, P. E., Tarnal, V. C., Janke, E. L., Keefe, K. M., Collins, M. M., ... Hudetz, A. G. (2018). Brain imaging reveals covert consciousness during behavioral unresponsiveness induced by propofol. Scientific Reports, 8(1), 13195. https://doi.org/10.1038/s41598-018-31436-z – reference: Tononi, G. (2008). Consciousness as integrated information: A provisional manifesto. The Biological Bulletin, 215(3), 216–242. https://doi.org/10.2307/25470707 – reference: Tsuchiya, N., & Koch, C. (2005). Continuous flash suppression reduces negative afterimages. Nature Neuroscience, 8(8), 1096–1101. https://doi.org/10.1038/nn1500 – reference: Laureys, S., Owen, A. M., & Schiff, N. D. (2004). Brain function in coma, vegetative state, and related disorders. The Lancet. Neurology, 3(9), 537–546. https://doi.org/10.1016/S1474-4422(04)00852-X – reference: Tononi, G., & Edelman, G. M. (1998). Consciousness and complexity. Science, 282(5395), 1846–1851. https://doi.org/10.1126/science.282.5395.1846 – reference: Hohwy, J. (2013). The predictive mind. Oxford University Press UK. – reference: Usami, K., Korzeniewska, A., Matsumoto, R., Kobayashi, K., Hitomi, T., Matsuhashi, M., ... Crone, N. E. (2019). The neural tides of sleep and consciousness revealed by single-pulse electrical brain stimulation. Sleep, 42(6), zsz050. https://doi.org/10.1093/sleep/zsz050 – reference: Viol, A., Palhano-Fontes, F., Onias, H., de Araujo, D. B., & Viswanathan, G. M. (2017). Shannon entropy of brain functional complex networks under the influence of the psychedelic Ayahuasca. Scientific Reports, 7(1), 7388. https://doi.org/10.1038/s41598-017-06854-0 – reference: Siclari, F., Baird, B., Perogamvros, L., Bernardi, G., LaRocque, J. J., Riedner, B., ... Tononi, G. (2017). The neural correlates of dreaming. Nature Neuroscience, 20(6), 872–878. https://doi.org/10.1038/nn.4545 – reference: Rees, G., Kreiman, G., & Koch, C. (2002). Neural correlates of consciousness in humans. Nature Reviews Neuroscience, 3(4), 261–270. https://doi.org/10.1038/nrn783 – reference: Tagliazucchi, E., & Laufs, H. (2014). Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron, 82(3), 695–708. https://doi.org/10.1016/j.neuron.2014.03.020 – reference: Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016). Integrated information theory: From consciousness to its physical substrate. Nature Reviews Neuroscience, 17(7), 450–461. https://doi.org/10.1038/nrn.2016.44 – reference: Craig, A. D. (2009). How do you feel—Now? The anterior insula and human awareness. Nature Reviews Neuroscience, 10(1), 59–70. https://doi.org/10.1038/nrn2555 – reference: Lamme, V. A. F. (2006). Towards a true neural stance on consciousness. Trends in Cognitive Sciences, 10(11), 494–501. https://doi.org/10.1016/j.tics.2006.09.001 – reference: Duszyk-Bogorodzka, A., Zieleniewska, M., & Jankowiak-Siuda, K. (2022). Brain activity characteristics of patients with disorders of consciousness in the EEG resting state paradigm: A review. Frontiers in Systems Neuroscience, 16, 654541. https://doi.org/10.3389/fnsys.2022.654541 – reference: Hohwy, J. (2009). The neural correlates of consciousness: New experimental approaches needed? Consciousness and Cognition, 18(2), 428–438. https://doi.org/10.1016/j.concog.2009.02.006 – reference: Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G., & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), 1–11. https://doi.org/10.1038/s42003-021-02369-7 – reference: Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014). Binocular rivalry: Frontal activity relates to introspection and action but not to perception. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 34(5), 1738–1747. https://doi.org/10.1523/JNEUROSCI.4403-13.2014 – reference: Giacino, J. T., Kalmar, K., & Whyte, J. (2004). The JFK coma recovery scale-revised: Measurement characteristics and diagnostic utility. Archives of Physical Medicine and Rehabilitation, 85(12), 2020–2029. https://doi.org/10.1016/j.apmr.2004.02.033 – reference: Timmermann, C., Roseman, L., Schartner, M., Milliere, R., Williams, L. T. J., Erritzoe, D., ... Carhart-Harris, R. L. (2019). Neural correlates of the DMT experience assessed with multivariate EEG. Scientific Reports, 9(1), 16324. https://doi.org/10.1038/s41598-019-51974-4 – reference: Calabi, C. (2001). Emotional qualia. In Emotions, qualia, and consciousness: Vol. Volume 10 (pp. 75–83). WORLD SCIENTIFIC. https://doi.org/10.1142/9789812810687_0006 – reference: Koivisto, M., & Revonsuo, A. (2010). Event-related brain potential correlates of visual awareness. Neuroscience and Biobehavioral Reviews, 34(6), 922–934. https://doi.org/10.1016/j.neubiorev.2009.12.002 – reference: Oizumi, M., Albantakis, L., & Tononi, G. (2014). From the phenomenology to the mechanisms of consciousness: Integrated information Theory 3.0. PLOS Computational Biology, 10(5), e1003588. https://doi.org/10.1371/journal.pcbi.1003588 – reference: Schrouff, J., Perlbarg, V., Boly, M., Marrelec, G., Boveroux, P., Vanhaudenhuyse, A., ... Benali, H. (2011). Brain functional integration decreases during propofol-induced loss of consciousness. NeuroImage, 57(1), 198–205. https://doi.org/10.1016/j.neuroimage.2011.04.020 – reference: Sarasso, S., Casali, A. G., Casarotto, S., Rosanova, M., Sinigaglia, C., & Massimini, M. (2021). Consciousness and complexity: A consilience of evidence. Neuroscience of Consciousness, niab023. https://doi.org/10.1093/nc/niab023 – reference: Koch, C., & Tsuchiya, N. (2012). Attention and consciousness: Related yet different. Trends in Cognitive Sciences, 16(2), 103–105. https://doi.org/10.1016/j.tics.2011.11.012 – reference: Barrett, A. B., & Seth, A. K. (2011). Practical measures of integrated information for time-series data. PLOS Computational Biology, 7(1), e1001052. https://doi.org/10.1371/journal.pcbi.1001052 – reference: Gazzaniga, M. S. (2005). Forty-five years of split-brain research and still going strong. Nature Reviews Neuroscience, 6(8), 653–659. https://doi.org/10.1038/nrn1723 – reference: Pockett, S., & Holmes, M. D. (2009). Intracranial EEG power spectra and phase synchrony during consciousness and unconsciousness. Consciousness and Cognition, 18(4), 1049–1055. https://doi.org/10.1016/j.concog.2009.08.010 – reference: Varley, T. F., Luppi, A. I., Pappas, I., Naci, L., Adapa, R., Owen, A. M., ... Stamatakis, E. A. (2020). Consciousness & brain functional complexity in propofol anaesthesia. Scientific Reports, 10(1), 1018. https://doi.org/10.1038/s41598-020-57695–3 – reference: Tsuchiya, N., & Koch, C. (2016). The relationship between consciousness and top-down attention. The Neurology of Consciousness: Cognitive Neuroscience and Neuropathology, 71–91. https://doi.org/10.1016/B978-0–12-800948-2.00005-4 – reference: Brown, E. N., Lydic, R., & Schiff, N. D. (2010). General anesthesia, sleep, and coma. New England Journal of Medicine, 363(27), 2638–2650. https://doi.org/10.1056/NEJMra0808281 – reference: Breitmeyer, B. G., & Ogmen, H. (2000). Recent models and findings in visual backward masking: A comparison, review, and update. Perception & Psychophysics, 62(8), 1572–1595. https://doi.org/10.3758/bf03212157 – reference: Massimini, M., Ferrarelli, F., Huber, R., Esser, S. K., Singh, H., & Tononi, G. (2005). Breakdown of cortical effective connectivity during sleep. Science, 309(5744), 2228–2232. https://doi.org/10.1126/science.1117256 – reference: Maquet, P., Degueldre, C., Delfiore, G., Aerts, J., Péters, J.-M., Luxen, A., & Franck, G. (1997). Functional neuroanatomy of human slow wave sleep. Journal of Neuroscience, 17(8), 2807–2812. https://doi.org/10.1523/JNEUROSCI.17-08-02807.1997 – reference: Owen, A. M., Coleman, M. R., Boly, M., Davis, M. H., Laureys, S., & Pickard, J. D. (2006). Detecting Awareness in the Vegetative State. Science. https://doi.org/10.1126/science.1130197 – reference: Baird, B., LaBerge, S., & Tononi, G. (2021). Two-way communication in lucid REM sleep dreaming. Trends in Cognitive Sciences, 25(6), 427–428. https://doi.org/10.1016/j.tics.2021.04.004 – reference: Dehaene, S., Naccache, L., Cohen, L., Bihan, D. L., Mangin, J. F., Poline, J. B., & Rivière, D. (2001). Cerebral mechanisms of word masking and unconscious repetition priming. Nature Neuroscience, 4(7), 752–758. https://doi.org/10.1038/89551 – reference: Baars, B. J. (2005). Global workspace theory of consciousness: Toward a cognitive neuroscience of human experience. Progress in Brain Research, 150, 45–53. https://doi.org/10.1016/S0079-6123(05)50004-9 – reference: Blake, R., & Logothetis, N. K. (2002). Visual competition. Nature Reviews Neuroscience, 3(1), 13–21. https://doi.org/10.1038/nrn701 – reference: Tononi, G. (2004). An information integration theory of consciousness. BMC Neuroscience, 5, 42. https://doi.org/10.1186/1471-2202-5–42 – reference: Imamoglu, F., Kahnt, T., Koch, C., & Haynes, J.-D. (2012). Changes in functional connectivity support conscious object recognition. NeuroImage, 63(4), 1909–1917. https://doi.org/10.1016/j.neuroimage.2012.07.056 – reference: Rosanova, M., Fecchio, M., Casarotto, S., Sarasso, S., Casali, A. G., Pigorini, A., ... Massimini, M. (2018). Sleep-like cortical OFF-periods disrupt causality and complexity in the brain of unresponsive wakefulness syndrome patients. Nature Communications, 9(1), 4427. https://doi.org/10.1038/s41467-018-06871-1 – reference: Koriat, A. (2007). Metacognition and consciousness. In The Cambridge handbook of consciousness (pp. 289–325). Cambridge University Press. https://doi.org/10.1017/CBO9780511816789.012 – reference: Bekinschtein, T. A., Dehaene, S., Rohaut, B., Tadel, F., Cohen, L., & Naccache, L. (2009). Neural signature of the conscious processing of auditory regularities. Proceedings of the National Academy of Sciences of the United States of America, 106(5), 1672–1677. https://doi.org/10.1073/pnas.0809667106 – reference: Gallagher, S. (2010). Defining consciousness: The importance of non-reflective self-awareness. Pragmatics & Cognition, 18(3), 561–569. https://doi.org/10.1075/pc.18.3.04gal – reference: Gosseries, O., Di, H., Laureys, S., & Boly, M. (2014). Measuring consciousness in severely damaged brains. Annual Review of Neuroscience, 37, 457–478. https://doi.org/10.1146/annurev-neuro-062012-170339 – reference: Liu, X., Lauer, K. K., Ward, B. D., Roberts, C. J., Liu, S., Gollapudy, S., ... Hudetz, A. G. (2019). Regional entropy of functional imaging signals varies differently in sensory and cognitive systems during propofol-modulated loss and return of behavioral responsiveness. Brain Imaging and Behavior, 13(2), 514–525. https://doi.org/10.1007/s11682-018-9886-0 – reference: Babiloni, C., Pistoia, F., Sarà, M., Vecchio, F., Buffo, P., Conson, M., ... Rossini, P. M. (2010). Resting state eyes-closed cortical rhythms in patients with locked-in-syndrome: An EEG study. Clinical Neurophysiology, 121(11), 1816–1824. https://doi.org/10.1016/j.clinph.2010.04.027 – reference: Hobson, J. A. (2009). REM sleep and dreaming: Towards a theory of protoconsciousness. Nature Reviews Neuroscience, 10(11), 803–813. https://doi.org/10.1038/nrn2716 – reference: Toker, D., Pappas, I., Lendner, J. D., Frohlich, J., Mateos, D. M., Muthukumaraswamy, S., ... D’Esposito, M. (2022). Consciousness is supported by near-critical slow cortical electrodynamics. Proceedings of the National Academy of Sciences, 119(7), e2024455119. https://doi.org/10.1073/pnas.2024455119 – reference: Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020). Conscious processing and the global neuronal workspace hypothesis. Neuron, 105(5), 776–798. https://doi.org/10.1016/j.neuron.2020.01.026 – reference: Yeo, B. T. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., ... Buckner, R. L. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3), 1125–1165. https://doi.org/10.1152/jn.00338.2011 – reference: Seth, A. K., Barrett, A. B., & Barnett, L. (2011). Causal density and integrated information as measures of conscious level. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1952), 3748–3767. https://doi.org/10.1098/rsta.2011.0079 – reference: Suzuki, M., & Larkum, M. E. (2020). General anesthesia decouples cortical pyramidal neurons. Cell, 180(4), 666–676.e13. https://doi.org/10.1016/j.cell.2020.01.024 – reference: Mateos, D. M., Wennberg, R., Guevara, R., & Perez Velazquez, J. L. (2017). Consciousness as a global property of brain dynamic activity. Physical Review E, 96(6), 062410. https://doi.org/10.1103/PhysRevE.96.062410 – reference: Tononi, G., & Sporns, O. (2003). Measuring information integration. BMC Neuroscience, 4(1), 31. https://doi.org/10.1186/1471-2202-4-31 – reference: Andrillon, T., Poulsen, A. T., Hansen, L. K., Léger, D., & Kouider, S. (2016). Neural markers of responsiveness to the environment in human sleep. Journal of Neuroscience, 36(24), 6583–6596. https://doi.org/10.1523/JNEUROSCI.0902-16.2016 – reference: Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106(6), 467–482. – reference: Brown, R., Lau, H., & LeDoux, J. E. (2019). Understanding the higher-order approach to consciousness. Trends in Cognitive Sciences, 23(9), 754–768. https://doi.org/10.1016/j.tics.2019.06.009 – reference: Dehaene, S., Kerszberg, M., & Changeux, J. P. (1998). A neuronal model of a global workspace in effortful cognitive tasks. Proceedings of the National Academy of Sciences of the United States of America, 95(24), 14529–14534. https://doi.org/10.1073/pnas.95.24.14529 – reference: Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442. https://doi.org/10.1038/30918 – reference: Bonhomme, V., Boveroux, P., Brichant, J. F., Laureys, S., & Boly, M. (2012). Neural correlates of consciousness during general anesthesia using functional magnetic resonance imaging (fMRI). Archives Italiennes De Biologie, 150(2–3), 155–163. https://doi.org/10.4449/aib.v150i2.1242 – reference: Boly, M., Seth, A. K., Wilke, M., Ingmundson, P., Baars, B., Laureys, S., Edelman, D. B., & Tsuchiya, N. (2013). Consciousness in humans and non-human animals: Recent advances and future directions. Frontiers in Psychology, 4, 625. https://doi.org/10.3389/fpsyg.2013.00625 – reference: Damasio, A. (1999). The feeling of what happens: Body and emotion in the making of consciousness. Houghton Mifflin Harcourt. – reference: Witter, L., & De Zeeuw, C. I. (2015). Regional functionality of the cerebellum. Current Opinion in Neurobiology, 33, 150–155. https://doi.org/10.1016/j.conb.2015.03.017 – reference: Koch, C. (2004). The quest for consciousness a neurobiological approach. Roberts & Co. – reference: Laureys, S. (2005). The neural correlate of (un)awareness: Lessons from the vegetative state. Trends in Cognitive Sciences, 9(12), 556–559. https://doi.org/10.1016/j.tics.2005.10.010 – reference: Oizumi, M., Tsuchiya, N., & Amari, S.-I. (2016). Unified framework for information integration based on information geometry. Proceedings of the National Academy of Sciences of the United States of America, 113(51), 14817–14822. https://doi.org/10.1073/pnas.1603583113 – reference: Solms, M., & Friston, K. (2018). How and why consciousness arises: Some considerations from physics and physiology. Journal of Consciousness Studies, 25(5–6), 202–238. – reference: Tononi, G., & Massimini, M. (2008). Why does consciousness fade in early sleep? Annals of the New York Academy of Sciences, 1129, 330–334. https://doi.org/10.1196/annals.1417.024 – reference: Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., ... Massimini, M. (2013). A theoretically based index of consciousness independent of sensory processing and behavior. Science Translational Medicine, 5(198). https://doi.org/10.1126/scitranslmed.3006294 – reference: Sanders, R. D., Tononi, G., Laureys, S., & Sleigh, J. W. (2012). Unresponsiveness≠unconsciousness. Anesthesiology, 116(4), 946–959. https://doi.org/10.1097/ALN.0b013e318249d0a7 – reference: Mckilliam, A. K. (2020). What is a global state of consciousness? Philosophy and the Mind Sciences, 1(II), Article II. https://doi.org/10.33735/phimisci.2020.II.58 – reference: Odegaard, B., Knight, R. T., & Lau, H. (2017). Should a few null findings falsify prefrontal theories of conscious perception? Journal of Neuroscience, 37(40), 9593–9602. https://doi.org/10.1523/JNEUROSCI.3217-16.2017 – reference: Boly, M., Massimini, M., Tsuchiya, N., Postle, B. R., Koch, C., & Tononi, G. (2017). Are the neural correlates of consciousness in the front or in the back of the cerebral cortex? Clinical and neuroimaging evidence. Journal of Neuroscience, 37(40), 9603–9613. https://doi.org/10.1523/JNEUROSCI.3218-16.2017 – reference: Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., ... Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLOS Computational Biology, 17(7), e1009139. https://doi.org/10.1371/journal.pcbi.1009139 – reference: Alcaide, S., Sitt, J., Horikawa, T., Romano, A., Maldonado, A. C., Ibanez, A., ... Barttfeld, P. (2021). FMRI lag structure during waking up from early sleep stages. Cortex, 142, 94–103. https://doi.org/10.1016/j.cortex.2021.06.005 – reference: Megill, J. (2014). Emotion, cognition and artificial intelligence. Minds and Machines, 24(2), 189–199. https://doi.org/10.1007/s11023-013-9320-8 – reference: Tarun, A., Wainstein-Andriano, D., Sterpenich, V., Bayer, L., Perogamvros, L., Solms, M., ... Van De Ville, D. (2021). NREM sleep stages specifically alter dynamical integration of large-scale brain networks. iScience, 24(1), 101923. https://doi.org/10.1016/j.isci.2020.101923 – reference: Coppola, P., Spindler, L. R. B., Luppi, A. I., Adapa, R., Naci, L., Allanson, J., ... Stamatakis, E. A. (2022). Network dynamics scale with levels of awareness. NeuroImage, 119128. https://doi.org/10.1016/j.neuroimage.2022.119128 – reference: Crick, F., & Koch, C. (1998). Consciousness and neuroscience. Cerebral Cortex, 8(2), 97–107. https://doi.org/10.1093/cercor/8.2.97 – reference: Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016). Neural correlates of consciousness: Progress and problems. Nature Reviews Neuroscience, 17(5), 307–321. https://doi.org/10.1038/nrn.2016.22 – reference: Steriade, M., Nunez, A., & Amzica, F. (1993). A novel slow (<1 Hz) oscillation of neocortical neurons in vivo: Depolarizing and hyperpolarizing components. Journal of Neuroscience, 13(8), 3252–3265. https://doi.org/10.1523/JNEUROSCI.13-08-03252.1993 – reference: Esposito, M. J., Nielsen, T. A., & Paquette, T. (2004). Reduced Alpha power associated with the recall of mentation from Stage 2 and Stage REM sleep. Psychophysiology, 41(2), 288–297. https://doi.org/10.1111/j.1469-8986.00143.x – reference: D’Andola, M., Rebollo, B., Casali, A. G., Weinert, J. F., Pigorini, A., Villa, R., ... Sanchez-Vives, M. V. (2018). Bistability, causality, and complexity in cortical networks: An in vitro perturbational study. Cerebral Cortex, 28(7), 2233–2242. https://doi.org/10.1093/cercor/bhx122 – reference: Northoff, G., & Lamme, V. (2020). Neural signs and mechanisms of consciousness: Is there a potential convergence of theories of consciousness in sight? Neuroscience & Biobehavioral Reviews, 118, 568–587. https://doi.org/10.1016/j.neubiorev.2020.07.019 – reference: Golkowski, D., Larroque, S. K., Vanhaudenhuyse, A., Plenevaux, A., Boly, M., Di Perri, C., ... Ilg, R. (2019). Changes in whole brain dynamics and connectivity patterns during sevoflurane- and propofol-induced unconsciousness identified by functional magnetic resonance imaging. Anesthesiology, 130(6), 898–911. https://doi.org/10.1097/ALN.0000000000002704 – reference: Tsakiris, M., Hesse, M. D., Boy, C., Haggard, P., & Fink, G. R. (2007). Neural signatures of body ownership: A sensory network for bodily self-consciousness. Cerebral Cortex (New York, N.Y.: 1991), 17(10), 2235–2244. https://doi.org/10.1093/cercor/bhl131 – reference: Block, N. (1995). On a confusion about a function of consciousness. Behavioral and Brain Sciences, 18(2), 227–247. https://doi.org/10.1017/S0140525X00038188 – reference: Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008). Consciousness and anesthesia. Science, 322(5903), 876–880. https://doi.org/10.1126/science.1149213 – reference: Sporns, O. (2018). Graph theory methods: Applications in brain networks. Dialogues in Clinical Neuroscience, 20(2), 111–121. – reference: Takahashi, N., Ebner, C., Sigl-Glöckner, J., Moberg, S., Nierwetberg, S., & Larkum, M. E. (2020). Active dendritic currents gate descending cortical outputs in perception. Nature Neuroscience, 23(10), 1277–1285. https://doi.org/10.1038/s41593-020-0677-8 – reference: Tsuchiya, N., Wilke, M., Frässle, S., & Lamme, V. A. F. (2015). No-report paradigms: Extracting the true neural correlates of consciousness. Trends in Cognitive Sciences, 19(12), 757–770. https://doi.org/10.1016/j.tics.2015.10.002 – reference: Haun, A. M., Oizumi, M., Kovach, C. K., Kawasaki, H., Oya, H., Howard, M. A., ... Tsuchiya, N. (2017). Conscious perception as integrated information patterns in human electrocorticography. ENeuro, 4(5), ENEURO.0085-17.2017. https://doi.org/10.1523/ENEURO.0085-17.2017 – reference: Sanchez-Vives, M. V., Massimini, M., & Mattia, M. (2017). Shaping the default activity pattern of the cortical network. Neuron, 94(5), 993–1001. https://doi.org/10.1016/j.neuron.2017.05.015 – reference: Onoda, K., & Akama, H. (2021). Complex of global functional network as the core of consciousness. PsyArXiv. https://doi.org/10.31234/osf.io/89ugz  | 
    
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| Snippet | 意識は長らく哲学や心理学において扱われてきたが,近年漸く神経科学の正当な研究対象として扱われるようになってきた。そこでは意識を科学的に扱うための実験... 【要約】意識は長らく哲学や心理学において扱われてきたが, 近年漸く神経科学の正当な研究対象として扱われるようになってきた. そこでは意識を科学的に扱うための実験...  | 
    
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| SubjectTerms | complexity consciousness global networks integrated information theory  | 
    
| Title | 意識の神経基盤と複雑性 | 
    
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