The Consciousness Theories Studies (ConTraSt) database: analyzing and comparing empirical studies of consciousness theories
Open accessAbstract
Understanding how consciousness arises from neural activity remains one of the biggest challenges for neuroscience. Numerous theories have been proposed in recent years, each gaining independent empirical support. Currently, there is no comprehensive, quantitative and theory-neutral overview of the field that enables an evaluation of how theoretical frameworks interact with empirical research. We provide a bird’s eye view on studies that interpreted their findings in light of at least one of four leading neuroscientific theories of consciousness (N=412 experiments), asking how methodological choices of the researchers might affect the final conclusions. We found that supporting a specific theory can be predicted solely from methodological choices, irrespective of findings. Furthermore, most studies interpret their findings post-hoc, rather than a-priori testing critical predictions of the theories. Our results highlight challenges for the field and provide researchers with a unique, open-access website to further analyze trends in the neuroscience of consciousness.
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Empirical research has focused on testing theories separately, rather than on directly contrasting them to evaluate their explanatory and predictive power.
“Empirical research has focused on testing theories separately, rather than on directly contrasting them to evaluate their explanatory and predictive power [8].”
From An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory (2023) · cites this paper as [8]
The Discussion reports that only 7% of the 412 experiments directly compared predictions from two or more theories, supporting the claim that direct contrasts are rare. But the Division of experiments with respect to the theories says only 35% explicitly tested theory predictions; many instead interpreted findings post hoc or merely mentioned a theory. Thus, saying research has focused on testing theories separately overstates how much of it tested theories at all. (LLM, conf=0.86)
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541 · see citing works
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439 · see citing works
(1966) · Medical Entomology and Zoology · Cited by 10,293 · see citing works
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799 · see citing works
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868 · see citing works
The Logic of Scientific Discovery.
Hutchison, T. W., & Popper, K. R. (1959) · Economica · doi:10.2307/2550489 · Cited by 7,628 · see citing works
Confirmation Bias: A Ubiquitous Phenomenon in Many Guises
Nickerson, R. S. (1998) · Review of General Psychology · doi:10.1037/1089-2680.2.2.175 · Cited by 7,267 · see citing works
NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
Valiev, M., Bylaska, E. J., Govind, N., Kowalski, K., Straatsma, T. P., van Dam, H. J. J., Wang, D., Nieplocha, J., Aprà, E., Windus, T. L., et al. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2010.04.018 · Cited by 5,794 · see citing works
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · cited 1× · see citing works
“In cases where no coordinates were reported whatsoever, which was the case in most experiments using functional localizers, Neurosynth 77 was used to extract the MNI coordinates showing the greatest fit for the reported brain area according to the label used by the original authors.”
MethodPermutation importance: a corrected feature importance measure
Altmann, A., Toloşi, L., Sander, O., & Lengauer, T. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq134 · Cited by 2,903 · see citing works
<i>The Logic of Scientific Discovery</i>
Popper, K. R., & Weiss, G. (1959) · Physics Today · doi:10.1063/1.3060577 · Cited by 2,717 · 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
Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework
Dehaene, S. (2001) · Cognition · doi:10.1016/s0010-0277(00)00123-2 · Cited by 2,498 · cited 2× · see citing works
“We focus on four theories that have evoked substantial empirical and theoretical interest 3,4,8 : Global Neuronal Workspace 12,32 (GNW), Higher-order thought 13,33 (HOT), Integrated Information Theory 34,35 (IIT), and Recurrent Processing Theory 36,37 (RPT) (listed in alphabetical order).”
BackgroundParaView: An End-User Tool for Large-Data Visualization
Ahrens, J. P., Geveci, B., & Law, C. (2005) · Elsevier eBooks · doi:10.1016/b978-012387582-2/50038-1 · Cited by 2,285 · see citing works
Automated anatomical labelling atlas 3
Rolls, E. T., Huang, C., Lin, C., Feng, J., & Joliot, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116189 · Cited by 2,035 · see citing works
Multicollinearity in Regression Analysis: The Problem Revisited
Farrar, D. E., & Glauber, R. R. (1967) · The Review of Economics and Statistics · doi:10.2307/1937887 · Cited by 1,977 · see citing works
The P300 wave of the human event-related potential
Picton, T. W. (1992) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199210000-00002 · Cited by 1,908 · see citing works
Perineuronal nets stabilize the grid cell network
Christensen, A. C., Lensjø, K. K., Lepperød, M. E., Dragly, S.-A., Sutterud, H., Blackstad, J. S., Fyhn, M., & Hafting, T. (2021) · Nature Communications · doi:10.1038/s41467-020-20241-w · Cited by 1,865 · see citing works
An information integration theory of consciousness
Tononi, G. (2004) · BMC Neuroscience · doi:10.1186/1471-2202-5-42 · Cited by 1,757 · see citing works
Integrated information theory: from consciousness to its physical substrate
Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.44 · Cited by 1,727 · see citing works
(1990) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,661 · see citing works
Mack, A., & Rock, I. (1998) · The MIT Press eBooks · doi:10.7551/mitpress/3707.001.0001 · Cited by 1,611 · see citing works
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600 · see citing works
Tononi, G. (1998) · Science · doi:10.1126/science.282.5395.1846 · Cited by 1,561 · see citing works
Akinwande, M. O., Dikko, H. G., & Samson, A. (2015) · Open Journal of Statistics · doi:10.4236/ojs.2015.57075 · Cited by 1,534 · see citing works
Crick, F., & Koch, C. (2003) · Nature Neuroscience · doi:10.1038/nn0203-119 · Cited by 1,492 · see citing works
Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008) · Science · doi:10.1126/science.1149213 · Cited by 1,245 · see citing works
Affective Discrimination of Stimuli That Cannot Be Recognized
Kunst-Wilson, W. R., & Zajonc, R. B. (1980) · Science · doi:10.1126/science.7352271 · Cited by 1,213 · see citing works
Cognition does not affect perception: Evaluating the evidence for “top-down” effects
Firestone, C., & Scholl, B. J. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000965 · Cited by 1,200 · see citing works
Conscious Processing and the Global Neuronal Workspace Hypothesis
Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.026 · Cited by 1,164 · see citing works
From the phenomenology to the mechanisms of consciousness: integrated information theory 3.0
Oizumi, M., Albantakis, L., & Tononi, G. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003588 · Cited by 1,128 · see citing works
Simons, D. J., & Levin, D. T. (1997) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(97)01080-2 · Cited by 1,039 · see citing works
Continuous flash suppression reduces negative afterimages
Tsuchiya, N., & Christof Koch, A. (2005) · Nature Neuroscience · doi:10.1038/nn1500 · Cited by 978 · see citing works
Empirical support for higher-order theories of conscious awareness
Lau, H., & Rosenthal, D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.009 · Cited by 869 · cited 3× · see citing works
“Existing reviews of the state-of-the-art of the field are typically written by proponents of the different theories 11–13 , with findings described predominantly through the lens of a given theoretical framework, yielding dramatically different pictures.”
BackgroundDehaene, S., Sergent, C., & Changeux, J.-P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1332574100 · Cited by 838 · see citing works
The cognitive neuroscience of sleep: neuronal systems, consciousness and learning
Hobson, J. A., & Pace-Schott, E. F. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn915 · Cited by 835 · see citing works
Levelt, W. J. M. (1968) · MPG.PuRe (Max Planck Society) · Cited by 784 · see citing works
Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness
Del Cul, A., Baillet, S., & Dehaene, S. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050260 · Cited by 753 · see citing works
Foster, E. D., & Deardorff, A. (2017) · Journal of the Medical Library Association · doi:10.5195/jmla.2017.88 · Cited by 715 · see citing works
Detecting Rhythms in Time Series with RAIN
Thaben, P. F., & Westermark, P. O. (2014) · Journal of Biological Rhythms · doi:10.1177/0748730414553029 · Cited by 709 · see citing works
Using direct and indirect measures to study perception without awareness
Reingold, E. M., & Merikle, P. M. (1988) · Perception & Psychophysics · doi:10.3758/bf03207490 · Cited by 596 · see citing works
Distilling the neural correlates of consciousness
Aru, J., Bachmann, T., Singer, W., & Melloni, L. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.12.003 · Cited by 589 · see citing works
Self-citationPerceptual learning without perception
Watanabe, T., Náñez, J. E., & Sasaki, Y. (2001) · Nature · doi:10.1038/35101601 · Cited by 575 · see citing works
Under what conditions does theory obstruct research progress?
Greenwald, A. G., Pratkanis, A. R., Leippe, M. R., & Baumgardner, M. H. (1986) · Psychological Review · doi:10.1037/0033-295x.93.2.216 · Cited by 574 · see citing works
Understanding the Higher-Order Approach to Consciousness
Brown, R., Lau, H., & LeDoux, J. E. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.06.009 · Cited by 573 · see citing works
Boly, M., Massimini, M., Tsuchiya, N., Postle, B. R., Koch, C., & Tononi, G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3218-16.2017 · Cited by 557 · see citing works
No-Report Paradigms: Extracting the True Neural Correlates of Consciousness
Tsuchiya, N., Wilke, M., Frässle, S., & Lamme, V. A. F. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.002 · Cited by 551 · see citing works
Confirmation Bias in a Simulated Research Environment: An Experimental Study of Scientific Inference
Mynatt, C. R., Doherty, M. E., & Tweney, R. D. (1977) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335557743000053 · Cited by 524 · see citing works
Introspection and subliminal perception
Ramsøy, T., & Overgaard, M. (2004) · Phenomenology and the Cognitive Sciences · doi:10.1023/b:phen.0000041900.30172.e8 · Cited by 506 · see citing works
How neuroscience will change our view on consciousness
Lamme, V. A. F. (2010) · Cognitive Neuroscience · doi:10.1080/17588921003731586 · Cited by 487 · see citing works
Two distinct modes of sensory processing observed in monkey primary visual cortex (V1)
Supèr, H., Spekreijse, H., & Lamme, V. A. F. (2001) · Nature Neuroscience · doi:10.1038/85170 · Cited by 467 · see citing works
Measuring consciousness: Is one measure better than the other?
Sandberg, K., Timmermans, B., Overgaard, M., & Cleeremans, A. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2009.12.013 · Cited by 443 · see citing works
Binocular rivalry: frontal activity relates to introspection and action but not to perception
Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4403-13.2014 · Cited by 409 · see citing works
More accurate Talairach coordinates for neuroimaging using non-linear registration
Lacadie, C., Fulbright, R. K., Rajeevan, N., Constable, R. T., & Papademetris, X. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.240 · Cited by 351 · see citing works
Should a Few Null Findings Falsify Prefrontal Theories of Conscious Perception?
Odegaard, B., Knight, R. T., & Lau, H. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3217-16.2017 · Cited by 316 · see citing works
Event-related brain potential correlates of visual awareness
Koivisto, M., & Revonsuo, A. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.002 · Cited by 314 · see citing works
The “correlates” in neural correlates of consciousness
de Graaf, T. A., Hsieh, P.-J., & Sack, A. T. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.05.012 · Cited by 268 · see citing works
Northoff, G., & Lamme, V. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.019 · Cited by 247 · see citing works
Gamma band activity and the P3 reflect post-perceptual processes, not visual awareness
Pitts, M. A., Padwal, J., Fennelly, D., Martínez, A., & Hillyard, S. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.024 · Cited by 229 · see citing works
Self-citationMakovski, T., Swallow, K. M., & Jiang, Y. V. (2010) · Journal of Vision · doi:10.1167/10.1.1 · Cited by 208 · see citing works
Bifurcation in brain dynamics reveals a signature of conscious processing independent of report
Sergent, C., Corazzol, M., Labouret, G., Stockart, F., Wexler, M., King, J.-R., Meyniel, F., & Pressnitzer, D. (2021) · Nature Communications · doi:10.1038/s41467-021-21393-z · Cited by 200 · see citing works
Hard criteria for empirical theories of consciousness
Doerig, A., Schurger, A., & Herzog, M. H. (2021) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1772214 · Cited by 194 · see citing works
Lamme, V. A. F. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0344 · Cited by 194 · see citing works
Making the hard problem of consciousness easier
Melloni, L., Mudrik, L., Pitts, M., & Koch, C. (2021) · Science · doi:10.1126/science.abj3259 · Cited by 190 · see citing works
Self-citation(2004) · Cited by 168 · see citing works
The neural correlates of consciousness: New experimental approaches needed?
Hohwy, J. (2009) · Consciousness and Cognition · doi:10.1016/j.concog.2009.02.006 · Cited by 157 · see citing works
Burnout in Health Professionals According to Their Self-Esteem, Social Support and Empathy Profile
Jurado, M. D. M. M., Fuentes, M. D. C. P., Linares, J. J. G., & Martín, A. B. B. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00424 · Cited by 156 · see citing works
Neural correlates of consciousness
Mormann, F., & Koch, C. (2007) · Scholarpedia · doi:10.4249/scholarpedia.1740 · Cited by 153 · see citing works
Theoretical Models of Consciousness: A Scoping Review
Sattin, D., Magnani, F. G., Bartesaghi, L., Caputo, M., Fittipaldo, V. A., Cacciatore, M., Picozzi, M., & Leonardi, M. (2021) · Brain Sciences · doi:10.3390/brainsci11050535 · Cited by 141 · see citing works
The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness
Doerig, A., Schurger, A., Hess, K., & Herzog, M. H. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.04.002 · Cited by 140 · see citing works
Visual masking: past accomplishments, present status, future developments
Breitmeyer, B. G. (2007) · Advances in Cognitive Psychology · doi:10.2478/v10053-008-0010-7 · Cited by 126 · see citing works
Minority reports: Consciousness and the prefrontal cortex
Michel, M., & Morales, J. (2019) · Mind & Language · doi:10.1111/mila.12264 · Cited by 120 · see citing works
Deep Brain Stimulation, Neuroethics, and the Minimally Conscious State
Schiff, N. D., Giacino, J. T., & Fins, J. J. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.79 · Cited by 97 · see citing works
Explanatory profiles of models of consciousness - towards a systematic classification
Signorelli, C. M., Szczotka, J., & Prentner, R. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab021 · Cited by 91 · see citing works
Subjective visibility depends on level of processing
Windey, B., Gevers, W., & Cleeremans, A. (2013) · Cognition · doi:10.1016/j.cognition.2013.07.012 · Cited by 85 · see citing works
Consciousness, Metacognition, & Perceptual Reality MonitoringPreprint
Lau, H. C. (2019) · doi:10.31234/osf.io/ckbyf · Cited by 74 · see citing works
Visual awareness of low‐contrast stimuli is reflected in event‐related brain potentials
Ojanen, V., Revonsuo, A., & Sams, M. E. (2003) · Psychophysiology · doi:10.1111/1469-8986.00021 · Cited by 71 · see citing works
Creating 3D visualizations of MRI data: A brief guide
Madan, C. R. (2015) · F1000Research · doi:10.12688/f1000research.6838.1 · Cited by 69 · see citing works
Posterior and anterior cortex—where is the difference that makes the difference?
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.105 · Cited by 68 · see citing works
A Thoroughly Empirical Approach To Consciousness
Baars, B. J. (1994) · Cited by 65 · see citing works
Tsuchiya, N., Andrillon, T., & Haun, A. (2020) · Consciousness and Cognition · doi:10.1016/j.concog.2020.102877 · Cited by 52 · see citing works
Reduction and the neurobiological basis of consciousness
Churchland, P. S. (1992) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198522379.003.0013 · Cited by 48 · see citing works
The role of levels of processing in disentangling the ERP signatures of conscious visual processing
Derda, M., Koculak, M., Windey, B., Gociewicz, K., Wierzchoń, M., Axel Cleeremans, B., & Binder, M. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.102767 · Cited by 46 · see citing works
Lamme, V. (2015) · Theoretical Philosophy/MIND Group – JGU Mainz · doi:10.15502/9783958570092 · Cited by 45 · see citing works
An Informal Internet Survey on the Current State of Consciousness Science
Michel, M., Fleming, S. M., Lau, H. C., Lee, A., Martínez‐Conde, S., Passingham, R. E., Peters, M. A. K., Rahnev, D., Sergent, C., & Liu, K. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02134 · Cited by 37 · see citing works
Lamme, V. A. F. (2016) · Open MIND, 2-vol. set · doi:10.7551/mitpress/10603.003.0067 · Cited by 26 · see citing works
Irvine, E. (2017) · Topoi · doi:10.1007/s11245-014-9273-4 · Cited by 25 · see citing works
Future directions for identifying the neural correlates of consciousness
Sandberg, K., Frässle, S., & Pitts, M. A. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.104 · Cited by 22 · see citing works
Self-citationUsing multivariate decoding to go beyond contrastive analyses in consciousness research
Sandberg, K., Andersen, L. M., & Overgaard, M. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01250 · Cited by 19 · see citing works
What can TMS tell us about visual awareness?
Ro, T. (2009) · Cortex · doi:10.1016/j.cortex.2009.03.005 · Cited by 17 · see citing works
An electrophysiological study of conscious visual perception using progressively degraded stimuli
Genetti, M., Britz, J., Michel, C. M., & Pegna, A. J. (2010) · Journal of Vision · doi:10.1167/10.14.10 · Cited by 12 · see citing works
Tsuchiya, N., Andrillon, T., & Haun, A. (2019) · doi:10.31234/osf.io/a2ms9 · Cited by 11 · see citing works
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Tests for consciousness in humans and beyond
Bayne, T., Seth, A. K., Massimini, M., Shepherd, J., Cleeremans, A., Fleming, S. M., Malach, R., Mattingley, J. B., Menon, D. K., Owen, A. M., et al. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.01.010 · Cited by 163 · see citing works
Self-citationMelloni, L., Mudrik, L., Pitts, M., Bendtz, K., Ferrante, O., Gorska, U., Hirschhorn, R., Khalaf, A., Kozma, C., Lepauvre, A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0268577 · Cited by 113 · see citing works
“Empirical research has focused on testing theories separately, rather than on directly contrasting them to evaluate their explanatory and predictive power [8].”
Self-citationExplanatory profiles of models of consciousness - towards a systematic classification
Signorelli, C. M., Szczotka, J., & Prentner, R. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab021 · Cited by 91 · see citing works
An adversarial collaboration to critically evaluate theories of consciousness
Cogitate Consortium, Ferrante, O., Gorska-Klimowska, U., Henin, S., Hirschhorn, R., Khalaf, A., Lepauvre, A., Liu, L., Richter, D., Vidal, Y., et al. (2023) · doi:10.1101/2023.06.23.546249 · Cited by 86 · see citing works
Self-citationConsensus Goals in the Field of Visual Metacognition
Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S. M., Jehee, J., et al. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221075615 · Cited by 63 · see citing works
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 · see citing works
Self-citationIdentifying indicators of consciousness in AI systems
Butlin, P., Long, R., Bayne, T., Bengio, Y., Birch, J., Chalmers, D., Constant, A., Deane, G., Elmoznino, E., Fleming, S. M., et al. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.10.011 · Cited by 56 · see citing works
Self-citationNatural kind reasoning in consciousness science: An alternative to theory testing
Mckilliam, A. (2024) · Noûs · doi:10.1111/nous.12526 · Cited by 32 · see citing works
Towards a structural turn in consciousness science
Kleiner, J. (2024) · Consciousness and Cognition · doi:10.1016/j.concog.2024.103653 · Cited by 27 · see citing works
Experiencing without knowing? Empirical evidence for phenomenal consciousness without access
Amir, Y. Z., Assaf, Y., Yovel, Y., & Mudrik, L. (2023) · Cognition · doi:10.1016/j.cognition.2023.105529 · Cited by 25 · see citing works
Self-citationExplanation, understanding, and the methodological problem in consciousness science
Mckilliam, A. (2025) · Synthese · doi:10.1007/s11229-025-05001-x · Cited by 19 · see citing works
An adversarial collaboration to critically evaluate theories of consciousnessPreprint
Melloni, L., Ferrante, O., Górska, U., Henin, S. E., Hirschhorn, R., Khalaf, A. F., Lepauvre, A., Liu, L., Richter, D., Vidal, Y., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3101836/v1 · Cited by 18 · see citing works
Self-citationKrasich, K., Simmons, C., O’Neill, K. J., Giattino, C., Brigard, F. D., Sinnott-Armstrong, W. P., Mudrik, L., & Woldorff, M. G. (2022) · Scientific Reports · doi:10.1038/s41598-022-25720-2 · Cited by 13 · see citing works
Self-citationKirkeby-Hinrup, A., & Fazekas, P. (2021) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103173 · Cited by 6 · see citing works
Perceptual Awareness and Its Relationship with Consciousness: Hints from Perceptual Multistability
Saracini, C. (2022) · NeuroSci · doi:10.3390/neurosci3040039 · Cited by 5 · see citing works
Grand Challenges in Consciousness Research Across Perception, Cognition, Self, and Emotion
Raffone, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.770360 · Cited by 4 · see citing works
Rosseinsky, N. M. (2024) · Synthese Library/Synthese library · doi:10.1007/978-3-031-57353-8_18 · Cited by 1 · see citing works
Three Comments in Case of a Structural Turn in Consciousness SciencePreprint
Kleiner, J. (2023) · SSRN Electronic Journal · doi:10.31234/osf.io/qmyv5
Lepauvre, A. (2025) · Radboud University Press eBooks · doi:10.54195/9789465150550
An open-access multi-site fMRI dataset for investigating conscious visual perception
Khalaf, A. F., Richter, D., Vidal, Y., Górska, U., Hirschhorn, R., Das, D., Kahraman, K. S. T., Sripad, P., Taheriyan, F., Mudrik, L., et al. (2026) · Scientific Data · doi:10.1038/s41597-026-07377-y
Self-citation
- Authors
- Yaron, I., Melloni, L., Pitts, M., & Mudrik, L.
- Affiliations
- Tel Aviv University (IL)
- Reed College (US)
- Corresponding author
- Yaron, Itay
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2021-06-10
- OpenAlex
- W3169141660
- Cited by
- 21
- References
- 98
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 7 · 2022: 4 · 2021: 4
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Funders
- National Science Foundation (1829470)
- Templeton World Charity Foundation (TWCF0378, TWCF0599)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Life Sciences › Neuroscience › Cognitive Neuroscience › Free Will and Agency
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- theory of consciousness, neuroscience of consciousness, methodological choices, post-hoc explanation
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