The DOI matches its Crossref record; 328 of the 331 references it cites were found in a registry or an index.
A measure centrality index for systematic empirical comparison of consciousness theories
Open accessAbstract
Consciousness science is marred by disparate constructs and methodologies, making it challenging to systematically compare theories. This foundational crisis casts doubts on the scientific character of the field itself. Addressing it, we propose a framework for systematically comparing consciousness theories by introducing a novel inter-theory classification interface, the Measure Centrality Index (MCI). Recognizing its gradient distribution, the MCI assesses the degree of importance a specific empirical measure has for a given consciousness theory. We apply the MCI to probe how the empirical measures of the Global Neuronal Workspace Theory (GNW), Integrated Information Theory (IIT), and Temporospatial Theory of Consciousness (TTC) would fare within the context of the other two. We demonstrate that direct comparison of IIT, GNW, and TTC is meaningful and valid for some measures like Lempel-Ziv Complexity (LZC), Autocorrelation Window (ACW), and possibly Mutual Information (MI). In contrast, it is problematic for others like the anatomical and physiological neural correlates of consciousness (NCC) due to their MCI-based differential weightings within the structure of the theories. In sum, we introduce and provide proof-of-principle of a novel systematic method for direct inter-theory empirical comparisons, thereby addressing isolated evolution of theories and confirmatory bias issues in the state-of-the-art neuroscience of consciousness.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Indeed, there are now so many theories of consciousness that an increasing number of researchers are turning their attention to the meta-theoretical question of how they might be compared and evaluated (Chis-Ciure et al., 2024; Del Pin et al., 2021; Doerig et al., 2021; Kirkeby-Hinrup, 2024; Negro et al., 2024; Signorelli et al., 2021), with a view to advancing the field via the unification, integ”
From Integrated information and predictive processing theories of consciousness: An adversarial collaborative review (2026) · cites this paper as Chis-Ciure et al., 2024
Citations
Cites
Items 201–328 of 328
The Neuronal Workspace Model: Conscious Processing and Learning
Changeux, J., & Dehaene, S. (2008) · Elsevier eBooks · doi:10.1016/b978-012370509-9.00078-4 · Cited by 71
Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception
Baria, A. T., Maniscalco, B., & He, B. J. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005806 · Cited by 70
Integrated information as a common signature of dynamical and information-processing complexity
Mediano, P. A. M., Rosas, F. E., Farah, J. C., Shanahan, M., Bor, D., & Barrett, A. B. (2022) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0063384 · Cited by 68
A spiking neuron model of cortical broadcast and competition
Shanahan, M. (2007) · Consciousness and Cognition · doi:10.1016/j.concog.2006.12.005 · Cited by 67
Arazi, A., Gonen-Yaacovi, G., & Dinstein, I. (2017) · eNeuro · doi:10.1523/eneuro.0292-17.2017 · Cited by 67
Bai, Y., Nakao, T., Xu, J., Qin, P.-M., Chaves, P., Heinzel, A., Duncan, N., Lane, T., Yen, N., Tsai, S., et al. (2016) · Social Neuroscience · doi:10.1080/17470919.2015.1072582 · Cited by 66
Self-citationZhang, J., Huang, Z., Chen, Y., Zhang, J., Ghinda, D., Nikolova, Y. S., Wu, J., Xu, J., Bai, W., Mao, Y. Q., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.23984 · Cited by 66
Self-citationBoly, M., Sasai, S., Gosseries, O., Oizumi, M., Casali, A. G., Massimini, M., & Tononi, G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125337 · Cited by 65
Zhang, J., Huang, Z., Tumati, S., & Northoff, G. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000733 · Cited by 65
Self-citationHow causal analysis can reveal autonomy in models of biological systems
Marshall, W., Kim, H., Walker, S. I., Tononi, G., & Albantakis, L. (2017) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2016.0358 · Cited by 64
General Markers of Conscious Visual Perception and Their Timing
Rutiku, R., Aru, J., Tallinn, A., & Bachmann, T. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00023 · Cited by 63
Noy, N., Bickel, S., Golumbic, E. Z., Harel, M., Golan, T., Davidesco, I., Schevon, C. A., McKhann, G. M., Goodman, R. R., Schroeder, C. E., et al. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2015.03.006 · Cited by 63
Disrupted neural variability during propofol‐induced sedation and unconsciousness
Huang, Z., Zhang, J., Wu, J., Liu, X., Xu, J., Zhang, J., Qin, P., Dai, R., Yang, Z. H., Mao, Y. Q., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24304 · Cited by 62
Self-citationThe offline stream of conscious representations
Sergent, C. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0349 · Cited by 61
Overcoming Rest–Task Divide—Abnormal Temporospatial Dynamics and Its Cognition in Schizophrenia
Northoff, G., & Gómez‐Pilar, J. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa178 · Cited by 61
Self-citationRevisiting the relationship between the P3b and working memory updating
Rac-Lubashevsky, R., & Kessler, Y. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.107769 · Cited by 60
Beyond the veil of duality—topographic reorganization model of meditation
Cooper, A. C., Ventura, B., & Northoff, G. (2022) · Neuroscience of Consciousness · doi:10.1093/nc/niac013 · Cited by 60
Self-citationDeco, G., Tagliazucchi, E., Laufs, H., Sanjuán, A., & Kringelbach, M. L. (2017) · eNeuro · doi:10.1523/eneuro.0106-17.2017 · Cited by 59
Albantakis, L., & Tononi, G. (2015) · Entropy · doi:10.3390/e17085472 · Cited by 58
Comparing theories of consciousness: why it matters and how to do it
Del Pin, S. H., Skóra, Z., Sandberg, K., Overgaard, M., & Wierzchoń, M. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab019 · Cited by 58
Consciousness and the fallacy of misplaced objectivity
Ellia, F., Hendren, J., Grasso, M., Kozma, C., Mindt, G., P. Lang, J., M. Haun, A., Albantakis, L., Boly, M., & Tononi, G. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab032 · Cited by 57
Bellet, J., Gay, M., Dwarakanath, A., Jarraya, B., van Kerkoerle, T., Dehaene, S., & Panagiotaropoulos, T. I. (2022) · Neuroscience of Consciousness · doi:10.1093/nc/niac005 · Cited by 57
Wolman, A., Çatal, Y., Wolff, A., Wainio‐Theberge, S., Scalabrini, A., Ahmadi, A. E., & Northoff, G. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119896 · Cited by 56
Self-citationDeep sleep divides the cortex into opposite modes of anatomical–functional coupling
Tagliazucchi, E., Crossley, N. A., Bullmore, E. T., & Laufs, H. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1162-0 · Cited by 54
White matter damage impairs access to consciousness in multiple sclerosis
Françoise Reuter, A., Delcul, A., Irina Malikova, A., Naccache, L., Sylviane Confort-gouny, A., Cohen, L., Chérif, A. A., Cozzone, P. J., Pelletier, J., & Ranjeva, J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.024 · Cited by 53
The Phi measure of integrated information is not well-defined for general physical systems
Barrett, A. B., & Mediano, P. A. M. (2019) · arXiv · doi:10.48550/arxiv.1902.04321 · Cited by 53
Prestimulus dynamics blend with the stimulus in neural variability quenching
Wolff, A., Chen, L., Tumati, S., Golesorkhi, M., Gómez‐Pilar, J., Hu, J. Z., Jiang, S., Mao, Y. Q., Longtin, A., & Northoff, G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118160 · Cited by 51
Self-citationAn operational information decomposition via synergistic disclosure
Rosas, F. E., Mediano, P. A. M., Rassouli, B., & Barrett, A. B. (2020) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/abb723 · Cited by 50
Unlocking the Brain: Volume 2: Consciousness
Northoff, G. (2013) · Cited by 49
Self-citationKitazono, J., Kanai, R., & Oizumi, M. (2018) · Entropy · doi:10.3390/e20030173 · Cited by 49
Hesselmann, G., Flandin, G., & Dehaene, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.017 · Cited by 48
Wolff, A., Gómez‐Pilar, J., Nakao, T., & Northoff, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-40743-y · Cited by 48
Self-citationConscious perception as integrated information patterns in human electrocorticography
Haun, A. M., Oizumi, M., Kovach, C. K., Kawasaki, H., Oya, H., Howard, M. A., Adolphs, R., & Tsuchiya, N. (2017) · eneuro · doi:10.1523/eneuro.0085-17.2017 · Cited by 47
The Emergence of Integrated Information, Complexity, and ‘Consciousness’ at Criticality
Popiel, N. J. M., Khajehabdollahi, S., Abeyasinghe, P. M., Riganello, F., Nichols, E. S., Owen, A. M., & Soddu, A. (2020) · Entropy · doi:10.3390/e22030339 · Cited by 47
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Harrison, D. J., Carhart-Harris, R. L., Bor, D., & Stamatakis, E. A. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab027 · Cited by 47
Northoff, G., & Zilio, F. (2022) · Entropy · doi:10.3390/e24020270 · Cited by 47
Self-citationFalsification and consciousness
Kleiner, J., & Hoel, E. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab001 · Cited by 46 · cited 1×
“Revealingly, the falsifiability and empirical character of some (Doerig et al., 2019) or most (Kleiner and Hoel, 2021) consciousness theories recently came under fire because objectively explaining a subjective phenomenon remains an unresolved methodological problem in consciousness science.”
BackgroundThe Mathematical Structure of Integrated Information Theory
Kleiner, J., & Tull, S. (2021) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2020.602973 · Cited by 46
An operational information decomposition via synergistic disclosure
Rosas, F. E., Mediano, P. A. M., Rassouli, B., et al. (2020) · Apollo (University of Cambridge) · doi:10.17863/cam.57047 · Cited by 46
Only what exists can cause: An intrinsic powers view of free will
Tononi, G., Albantakis, L., Boly, M., Cirelli, C., Grasso, M., & Koch, C. (2022) · arXiv · doi:10.48550/arxiv.2206.02069 · Cited by 46
Falsification and consciousness
Kleiner, J., & Hoel, E. (2020) · arXiv · doi:10.48550/arxiv.2004.03541 · Cited by 46
Sanders, R. D., Banks, M. I., Darracq, M., Moran, R., SLEIGH, J. W., Gosseries, O., Bonhomme, V. L., Brichant, J. F., Rosanova, M., Raz, A., et al. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.07.006 · Cited by 45
Criticality as a determinant of integrated information Φ in human brain networks
Kim, H., & Lee, U. (2019) · Entropy · doi:10.3390/e21100981 · Cited by 45
Integrated information as a metric for group interaction
Engel, D., & Malone, T. W. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205335 · Cited by 44
Northoff, G., Tsuchiya, N., & Saigo, H. (2019) · Entropy · doi:10.3390/e21121234 · Cited by 44
Self-citationChang, J.-Y., Pigorini, A., Massimini, M., Tononi, G., Nobili, L., & Veen, B. D. V. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00317 · Cited by 43
Functional split brain in a driving/listening paradigm
Sasai, S., Boly, M., Mensen, A., & Tononi, G. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613200113 · Cited by 43
Asymmetric neural dynamics characterize loss and recovery of consciousness
Huang, Z., Tarnal, V., Vlisides, P. E., Janke, E., McKinney, A., Picton, P., Mashour, G. A., & Hudetz, A. G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118042 · Cited by 43
Isler, J. R., Stark, R. I., Grieve, P. G., Welch, M. G., & Myers, M. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206237 · Cited by 42
A measure for intrinsic information
Barbosa, L. S., Marshall, W., Streipert, S., Albantakis, L., & Tononi, G. (2020) · Scientific Reports · doi:10.1038/s41598-020-75943-4 · Cited by 42
Leung, A., Cohen, D., van Swinderen, B., & Tsuchiya, N. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008722 · Cited by 42
Causal reductionism and causal structures
Grasso, M., Albantakis, L., Lang, J. P., & Tononi, G. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00911-8 · Cited by 42
Reportability and illusions of phenomenality in the light of the global neuronal workspace model
Naccache, L., & Dehaene, S. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07002993 · Cited by 40
Golesorkhi, M., Gómez‐Pilar, J., Çatal, Y., Tumati, S., YAGOUB, M. C. E., Stamatakis, E. A., & Northoff, G. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac042 · Cited by 40
Self-citationKlar, P., Çatal, Y., Langner, R., Huang, Z., & Northoff, G. (2023) · Communications Biology · doi:10.1038/s42003-023-04879-y · Cited by 40
Self-citation(2001) · PubMed · Cited by 39
The search for the neural correlate of consciousness: Progress and challenges
Lepauvre, A., & Melloni, L. (2021) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2021.87 · Cited by 38
Self-citationInformational structures: A dynamical system approach for integrated information
Esteban, F. J., Galadí, J. A., Langa, J. A., Portillo, J. R., & Toscano, F. S. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006154 · Cited by 37
Integrated information and state differentiation
Marshall, W., Gomez-Ramirez, J., & Tononi, G. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00926 · Cited by 36
Disruption of conscious access in psychosis is associated with altered structural brain connectivity
Berkovitch, L., Charles, L., Del Cul, A., Hamdani, N., Delavest, M., Sarrazin, S., Mangin, J.-F., Guevara, P., Ji, E., d'Albis, M.-A., et al. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.0945-20.2020 · Cited by 36
Fast and exact search for the partition with minimal information loss
Hidaka, S., & Oizumi, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201126 · Cited by 34
Intracranial high-γ connectivity distinguishes wakefulness from sleep
Mikulan, E., Hesse, E., Sedeño, L., Bekinschtein, T. A., Sigman, M., García, M. D. C., Silva, W., Ciraolo, C. A., García, A. M., & Ibáñez, A. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.015 · Cited by 34
Scale‐free dynamics of core‐periphery topography
Klar, P., Çatal, Y., Langner, R., Huang, Z., & Northoff, G. (2022) · Human Brain Mapping · doi:10.1002/hbm.26187 · Cited by 34
Self-citationThe Minimal Complexity of Adapting Agents Increases with Fitness
Joshi, N. J., Tononi, G., & Koch, C. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003111 · Cited by 33
Hierarchical architecture of conscious processing and subjective experience
Panagiotaropoulos, T. I., Wang, L., & Dehaene, S. (2020) · Cognitive Neuropsychology · doi:10.1080/02643294.2020.1760811 · Cited by 33
Mei, N., Santana, R., & Soto, D. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01274-7 · Cited by 33
Self-organized criticality as a framework for consciousness: A review study
Walter, N., & Hinterberger, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.911620 · Cited by 33
A construct-first approach to consciousness science
Fazekas, P., Axel Cleeremans, B., & Overgaard, M. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105480 · Cited by 33
(2016) · Elsevier eBooks · doi:10.1016/c2013-0-18738-7 · Cited by 32
Northoff, G., Klar, P., Bein, M., & Safron, A. (2023) · Interface Focus · doi:10.1098/rsfs.2022.0076 · Cited by 32
Self-citationTemporal imprecision and phase instability in schizophrenia resting state EEG
Lechner, S., & Northoff, G. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103654 · Cited by 32
Self-citationA role for the anterior insular cortex in the global neuronal workspace model of consciousness
Michel, M. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.02.004 · Cited by 30
The neural hierarchy of consciousness: A theoretical model and review on neurophysiology and NCCs
Almeida, V. N. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108202 · Cited by 29
Northoff, G., & Heiss, W. (2015) · Stroke · doi:10.1161/strokeaha.114.007969 · Cited by 28
Self-citationSubliminal words durably affect neuronal activity
Raphaël Gaillard, B., Cohen, L., Adam, C., Clémenceau, S., Hasboun, D., Baulac, M., Willer, J. C., Dehaene, S., & Naccache, L. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3282f0b6cd · Cited by 27
Finding continuity and discontinuity in fish schools via integrated information theory
Niizato, T., Sakamoto, K., Mototake, Y.-I., Murakami, H., Tomaru, T., Hoshika, T., & Fukushima, T. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229573 · Cited by 27
Beyond Neural Correlates of Consciousness
Overgaard, M. S., Mogensen, J., & Kirkeby-Hinrup, A. (2020) · Routledge eBooks · doi:10.4324/9781315205267 · Cited by 27
Plasticity in the structure of visual space
Song, C., Haun, A. M., & Tononi, G. (2017) · eneuro · doi:10.1523/eneuro.0080-17.2017 · Cited by 26
Intrinsic dynamics and topography of sensory input systems
Çatal, Y., Gómez‐Pilar, J., & Northoff, G. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab504 · Cited by 26
Self-citationAccelerating scientific progress through Bayesian adversarial collaboration
Corcoran, A. W., Hohwy, J., & Friston, K. J. (2023) · Neuron · doi:10.1016/j.neuron.2023.08.027 · Cited by 26
Negro, N. (2020) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-020-09681-3 · Cited by 25
Northoff, G. (2018) · The MIT Press eBooks · doi:10.7551/mitpress/9780262038072.001.0001 · Cited by 25
Self-citationProposed EEG measures of consciousness: a systematic, comparative review.Preprint
Nilsen, A. S., Juel, B. E., Thürer, B., & Storm, J. F. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/sjm4a · Cited by 24
Buccellato, A., Zang, D., Zilio, F., Gomez-Pilar, J., Wang, Z., Qi, Z., Zheng, R., Xu, Z., Wu, X., Bisiacchi, P., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2022.119802 · Cited by 24
Self-citationJegorova, M., Doncieux, S., & Hospedales, T. M. (2019) · doi:10.1109/icdl-epirob44920.2019 · Cited by 23
EEG Differentiation Analysis and Stimulus Set Meaningfulness
Mensen, A., Marshall, W., & Tononi, G. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01748 · Cited by 22
Integrated information in the thermodynamic limit
Aguilera, M., & Paolo, E. A. D. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.03.001 · Cited by 22
Kung, Y., Li, C., Chen, S., Chen, S. C.-J., Lo, C. Z., Lane, T. J., Biswal, B. B., Wu, C. W., & Lin, C. (2019) · Human Brain Mapping · doi:10.1002/hbm.24590 · Cited by 21
Negro, N. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae012 · Cited by 21
Evaluating Approximations and Heuristic Measures of Integrated Information
Nilsen, A. S., Juel, B. E., Marshall, W., & Storm, J. F. (2019) · Entropy · doi:10.3390/e21050525 · Cited by 20
Kim, M., Kim, H., Huang, Z., Mashour, G. A., Jordan, D., Ilg, R., & Lee, U. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.657809 · Cited by 20
A novel perturbation based compression complexity measure for networks
Virmani, M., & Nagaraj, N. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01181 · Cited by 19
Alpha oscillation, criticality, and responsiveness in complex brain networks
Kim, M., & Lee, U. (2019) · Network Neuroscience · doi:10.1162/netn_a_00113 · Cited by 19
Albantakis, L. (2020) · Routledge eBooks · doi:10.4324/9781315205267-6 · Cited by 19
Aguilera, M., & Paolo, E. A. D. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.009 · Cited by 18
Noel, J.-P., Simon, D., Thelen, A., Maier, A., Blake, R., & Wallace, M. T. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01247 · Cited by 17
Kalita, P., Langa, J. A., & Toscano, F. S. (2019) · Entropy · doi:10.3390/e21050493 · Cited by 17
How Does the Extraction of Local and Global Auditory Regularities Vary with Context?
Marti, S., Thibault, L., & Dehaene, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107227 · Cited by 16
Scaling Behaviour and Critical Phase Transitions in Integrated Information Theory
Aguilera, M. (2019) · Entropy · doi:10.3390/e21121198 · Cited by 16
Computing Integrated Information (Φ) in Discrete Dynamical Systems with Multi-Valued Elements
Gomez, J. D., Mayner, W. G. P., Beheler-Amass, M., Tononi, G., & Albantakis, L. (2020) · Entropy · doi:10.3390/e23010006 · Cited by 16
An organisational systems-biology view of viruses explains why they are not alive
Farnsworth, K. D. (2020) · Biosystems · doi:10.1016/j.biosystems.2020.104324 · Cited by 15
Non-additive activity modulation during a decision making task involving tactic selection
Braun, W., Matsuzaka, Y., Mushiake, H., Northoff, G., & Longtin, A. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09702-0 · Cited by 15
Self-citationSubgraph “Backbone” Analysis of Dynamic Brain Networks during Consciousness and Anesthesia
Shin, J., Mashour, G. A., Ku, S., Kim, S., & Lee, U. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070899 · Cited by 14
Landes, J. (2021) · doi:10.1093/obo/9780195396577-0417 · Cited by 14
Foss‐Feig, J. H., Stone, W. L., & Wallace, M. T. (2012) · International review of research in developmental disabilities · doi:10.1016/b978-0-12-398261-2.00003-9 · Cited by 13
A computational model of a global neuronal workspace with stochastic connections
Connor, D., & Shanahan, M. (2010) · Neural Networks · doi:10.1016/j.neunet.2010.07.005 · Cited by 13
Hesselmann, G., Naccache, L., Cohen, L., & Dehaene, S. (2012) · Cortex · doi:10.1016/j.cortex.2012.03.014 · Cited by 11
Intra-hemispheric integration underlies perception of tilt illusion
Song, C., & Rees, G. E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.073 · Cited by 11
Musat, E. M., Rohaut, B., Sangaré, A., Benhaiem, J.-M., & Naccache, L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.756651 · Cited by 11
Mensen, A., Marshall, W., Sasai, S., & Tononi, G. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01278 · Cited by 10
Complexity as Causal Information Integration
Langer, C., & Ay, N. (2020) · Entropy · doi:10.3390/e22101107 · Cited by 10
Northoff, G. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-33-6044-0_5 · Cited by 10
Self-citationFour-Types of IIT-Induced Group Integrity of Plecoglossus altivelis
Niizato, T., Sakamoto, K., Mototake, Y.-I., Murakami, H., Tomaru, T., Hoshika, T., & Fukushima, T. (2020) · Entropy · doi:10.3390/e22070726 · Cited by 9
Mayner, W. G. P., Marshall, W., Billeh, Y. N., Gandhi, S. R., Caldejon, S., Cho, A., Griffin, F., Hancock, N., Lambert, S., Lee, E., et al. (2022) · eNeuro · doi:10.1523/eneuro.0280-21.2021 · Cited by 9
Chis-Ciure, R. (2022) · Synthese · doi:10.1007/s11229-022-03704-z · Cited by 9
Self-citationHow cognitive and environmental constraints influence the reliability of simulated animats in groups
Fischer, D., Mostaghim, S., & Albantakis, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228879 · Cited by 7
Complexity as causal information integration
Langer, C., & Ay, N. (2020) · tub.dok (Hamburg University of Technology) · doi:10.15480/882.3738 · Cited by 6
Fujii, K., Kanazawa, H., & Kuniyoshi, Y. (2019) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2019.8850724 · Cited by 6
Dehaghani, N. S., Maeß, B., Khosrowabadi, R., Lashgari, R., Braeutigam, S., & Zarei, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.831781 · Cited by 5
Emergence of Integrated Information at Macro Timescales in Real Neural Recordings
Leung, A., & Tsuchiya, N. (2022) · Entropy · doi:10.3390/e24050625 · Cited by 5
The Evolution of Neuroplasticity and the Effect on Integrated Information
Sheneman, L., Schossau, J., & Hintze, A. (2019) · Entropy · doi:10.3390/e21050524 · Cited by 4
Nazhestkin, I. A., & Svarnik, О. E. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2105128 · Cited by 4
A survey of neurophysiological differentiation across mouse visual brain areas and timescales
Gandhi, S. R., Mayner, W. G. P., Marshall, W., Billeh, Y. N., Bennett, C., Gale, S. D., Mochizuki, C., Siegle, J. H., Olsen, S. R., Tononi, G., et al. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1040629 · Cited by 4
Integrated Information in Process-Algebraic Compositions
Bolognesi, T. (2019) · Entropy · doi:10.3390/e21080805 · Cited by 2
Kropotov, J. D. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374512-5.00011-6 · Cited by 2
Kropotov, J. D. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374512-5.00012-8 · Cited by 2
Naccache, L. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800948-2.00018-2 · Cited by 1
Research works printed but not linked: 2
- Sitt, 2014, Methods to monitor consciousness, EP2789293, A1
- Tononi, 2017, The integrated information theory of consciousness: an outline, Black Companion Conscious.
Cited by
Sorted by citations
Cogitate Consortium, Ferrante, O., Gorska-Klimowska, U., Henin, S., Hirschhorn, R., Khalaf, A., Lepauvre, A., Liu, L., Richter, D., Vidal, Y., et al. (2025) · Nature · doi:10.1038/s41586-025-08888-1 · Cited by 136
“Such a framework would enhance systematic theory building in an era of accumulating results 60 .”
Self-citationUnpacking the complexities of consciousness: Theories and reflections
Mudrik, L., Boly, M., Dehaene, S., Fleming, S. M., Lamme, V., Seth, A., & Melloni, L. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106053 · Cited by 81
Self-citationKirkeby-Hinrup, A., Stephens, A., Sjöstrand, A. B., & Overgaard, M. S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1633907 · Cited by 24
Preliminaries to artificial consciousness: A multidimensional heuristic approach
Evers, K., Farisco, M., Chatila, R., Earp, B. D., Freire, I. T., Hamker, F. H., Németh, E., Verschure, P. F. M. J., & Khamassi, M. (2025) · Physics of Life Reviews · doi:10.1016/j.plrev.2025.01.002 · Cited by 23
Cognition all the way down 2.0: neuroscience beyond neurons in the diverse intelligence era
Chis-Ciure, R., & Levin, M. G. (2025) · Synthese · doi:10.1007/s11229-025-05319-6 · Cited by 7
Self-citation
Metadata
- Authors
- Chis-Ciure, R., Melloni, L., & Northoff, G.
- Affiliations
- Fundación Tatiana Pérez de Guzmán el Bueno (ES)
- Royal Ottawa Mental Health Centre (CA)
- Corresponding author
- Chis-Ciure, Robert
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 161
- Pages
- 105670
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W4394743787
- Cited by
- 22
- References
- 331
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 2
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Tatiana Pérez de Guzmán el Bueno Foundation
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- theory of consciousness, global neuronal workspace theory, integrated information theory, Lempel-Ziv complexity, mutual information, neural correlates of consciousness, confirmation bias
- MeSH terms
- Brain, Consciousness, Humans, Information Theory, Psychological Theory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
