Time-Resolved Decoding of Two Processing Chains during Dual-Task Interference
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The human brain exhibits fundamental limitations in multitasking. When subjects engage in a primary task, their ability to respond to a second stimulus is degraded. Two competing models of multitasking have been proposed: either cognitive resources are shared between tasks, or they are allocated to each task serially. Using a novel combination of magneto-encephalography and multivariate pattern analyses, we obtained a precise spatio-temporal decomposition of the brain processes at work during multitasking. We discovered that each task relies on a sequence of brain processes. These sequences can operate in parallel for several hundred milliseconds but beyond ∼ 500 ms, they repel each other: processes evoked by the first task are shortened, while processes of the second task are either lengthened or postponed. These results contradict the resource-sharing model and further demonstrate that the serial model is incomplete. We therefore propose a new theoretical framework for the computational architecture underlying multitasking.
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Early perceptual processing in the first 200 ms can be fully preserved on trials without conscious perception, especially under inattention, whereas conscious appraisal correlates with late events lagging at least 200 ms, such as the P300 or late-positive component, which vanishes almost entirely under inattention or during sleep.
“The first 200 ms of brain activity, corresponding to early perceptual processing, can be fully preserved on trials without conscious perception, particularly under inattention conditions”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Marti et al., 2015
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Experimental — accuracy not yet measuredEarly perceptual processing in the first 200 milliseconds can be similar or even identical between conscious and unconscious trials, but conscious perception is associated with late events such as the N2/P3b/P300 component.
“Early perceptual processing in the first 200 milliseconds can be similar or even identical between conscious (i.e., reported) and unconscious (i.e., not reported) trials, [67][68][69] but conscious perception is associated with late events, such as the N2/P3b/P300 component of scalp-event-related potentials in humans.6,[70][71][72]”
From An integrative, multiscale view on neural theories of consciousness (2024) · cites this paper as [67]
The Results section, “Dual-Task Interference Differentially Affects Early and Late Brain Responses” (page unavailable), reports that early Task 2 responses were unaffected by inter-target lag while later responses changed. The Discussion links delayed conscious access to later frontoparietal activity. The cited paper does not establish that processing in the first 200 ms was identical on reported and unreported trials, or identify the late activity as a scalp N2/P3b/P300 component; its recordings were MEG. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe timing of conscious access can be delayed under conditions such as inattention or dual-task situations where the global workspace is already occupied by another conscious object.
“The timing of conscious access can furthermore be delayed under certain conditions, such as inattention or dualtask situations where the global workspace is already occupied by another conscious object.67,73”
From An integrative, multiscale view on neural theories of consciousness (2024) · cites this paper as [67]
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Cites
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
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918 · see citing works
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323 · see citing works
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,124 · see citing works
Egeth, H. E., & Kahneman, D. J. (1975) · The American Journal of Psychology · doi:10.2307/1421603 · Cited by 6,976 · see citing works
Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
Platt, J. C. (1999) · Cited by 4,834 · see citing works
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D., & Leahy, R. M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/879716 · Cited by 3,625 · see citing works
Dual-task interference in simple tasks: data and theory
Pashler, H. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.2.220 · Cited by 3,112 · see citing works
Temporary suppression of visual processing in an RSVP task: An attentional blink?
Raymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.18.3.849 · Cited by 2,276 · see citing works
Advances in Large-Margin Classifiers
(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.001.0001 · Cited by 1,902 · see citing works
Temporary suppression of visual processing in an RSVP task: an attentional blink?
Raymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.18.3.849 · Cited by 1,649 · see citing works
A neuronal model of a global workspace in effortful cognitive tasks
Dehaene, S., Kerszberg, M., & Changeux, J.-P. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.24.14529 · Cited by 1,347 · see citing works
Self-citationCharacterizing the dynamics of mental representations: the temporal generalization method
King, J.-R., & Dehaene, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.01.002 · Cited by 896 · see citing works
Self-citationTiming of the brain events underlying access to consciousness during the attentional blink
Sergent, C., Baillet, S., & Dehaene, S. (2005) · Nature Neuroscience · doi:10.1038/nn1549 · Cited by 888 · see citing works
Self-citationVogel, E. K., Luck, S. J., & Shapiro, K. L. (1998) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.24.6.1656 · Cited by 764 · see citing works
The attentional blink: A review of data and theory
Dux, P. E., & Marois, R. (2009) · Attention Perception & Psychophysics · doi:10.3758/app.71.8.1683 · Cited by 590 · see citing works
A central capacity sharing model of dual-task performance.
Tombu, M. N., & Jolicoeur, P. (2003) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.29.1.3 · Cited by 584 · see citing works
A central capacity sharing model of dual-task performance.
Tombu, M. N., & Jolicœur, P. (2003) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.29.1.3 · Cited by 581 · see citing works
Suppression of Interference and Artifacts by the Signal Space Separation Method
Taulu, S., Kajola, M., & Simola, J. (2004) · Brain Topography · doi:10.1023/b:brat.0000032864.93890.f9 · Cited by 541 · see citing works
Vogel, E. K., Luck, S. J., & Shapiro, K. L. (1998) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.24.6.1656 · Cited by 514 · see citing works
Jolicœur, P. (1998) · Memory & Cognition · doi:10.3758/bf03201180 · Cited by 240 · see citing works
Parsing a Cognitive Task: A Characterization of the Mind's Bottleneck
Sigman, M., & Dehaene, S. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030037 · Cited by 235 · see citing works
Self-citationDelayed Attentional Engagement in the Attentional Blink.
Nieuwenstein, M. R., Chun, M. M., Lubbe, R. H. J. V. D., & Hooge, I. T. C. (2005) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.31.6.1463 · Cited by 153 · see citing works
Dual-task interference and visual encoding.
Jolicœur, P. (1999) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.25.3.596 · Cited by 144 · see citing works
Sergent, C., & Dehaene, S. (2004) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2005.09.006 · Cited by 139 · see citing works
Self-citationThe Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain
Zylberberg, A., Slezak, D. F., Roelfsema, P. R., Dehaene, S., & Sigman, M. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000765 · Cited by 134 · see citing works
Self-citationRestricted attentional capacity between sensory modalities
Jolicœur, P. (1999) · Psychonomic Bulletin & Review · doi:10.3758/bf03210813 · Cited by 133 · see citing works
A shared cortical bottleneck underlying Attentional Blink and Psychological Refractory Period
Marti, S., Sigman, M., & Dehaene, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.063 · Cited by 120 · see citing works
Self-citationTwo Distinct Dynamic Modes Subtend the Detection of Unexpected Sounds
King, J.-R., Gramfort, A., Schurger, A., Naccache, L., & Dehaene, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085791 · Cited by 103 · see citing works
Self-citationTemporal Selection is Suppressed, Delayed, and Diffused During the Attentional Blink
Vul, E., Nieuwenstein, M., & Kanwisher, N. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02046.x · Cited by 89 · see citing works
Marti, S., Sackur, J., Sigman, M., & Dehaene, S. (2010) · Cognition · doi:10.1016/j.cognition.2010.01.003 · Cited by 87 · see citing works
Self-citationCentral processing overlap modulates P3 latency
Dell’Acqua, R., Jolicœur, P., Vespignani, F., & Toffanin, P. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-2281-2 · Cited by 41 · see citing works
Fuzzy PSS Design for a Multi-machine Power System Using Improved Genetic Algorithm
Shayeghi, H., Shayanfar, H. A., & Abedinia, O. (2012) · Computer Science and Engineering · doi:10.5923/j.computer.20120201.01 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Geffroy D Rivière D Denghien N Souedet S Laguitton S Cointepas Y BrainVISA: a complete software platform for neuroimaging Python in Neuroscience Workshop (Paris) 2011 http://pythonneuro.sciencesconf.org/833/document
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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
Self-citationWhat is consciousness, and could machines have it?
Dehaene, S., Lau, H., & Kouider, S. (2017) · Science · doi:10.1126/science.aan8871 · Cited by 855 · see citing works
Self-citationA theory of working memory without consciousness or sustained activity
Trübutschek, D., Marti, S., Ojeda, A., King, J.-R., Mi, Y., Tsodyks, M., & Dehaene, S. (2017) · eLife · doi:10.7554/elife.23871 · Cited by 219 · see citing works
Self-citationBifurcation 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
Self-citationDiscrete and continuous mechanisms of temporal selection in rapid visual streams
Marti, S., & Dehaene, S. (2017) · Nature Communications · doi:10.1038/s41467-017-02079-x · Cited by 127 · see citing works
Self-citationAn integrative, multiscale view on neural theories of consciousness
Storm, J. F., Klink, P. C., Aru, J., Senn, W., Goebel, R., Pigorini, A., Avanzini, P., Vanduffel, W., Roelfsema, P. R., Massimini, M., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.004 · Cited by 114 · see citing works
Tang, M. F., Smout, C. A., Arabzadeh, E., & Mattingley, J. B. (2018) · eLife · doi:10.7554/elife.33123 · Cited by 83 · see citing works
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Trübutschek, D., Marti, S., Ueberschär, H., & Dehaene, S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820730116 · Cited by 88 · see citing works
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- Authors
- Marti, S., King, J.-R., & Dehaene, S.
- Affiliations
- Inserm (FR)
- Corresponding author
- Marti, Sébastien
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 88
- Issue
- 6
- Pages
- 1297-1307
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC5635959
- OpenAlex
- W2177562842
- Cited by
- 90
- References
- 33
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 17 · 2023: 7 · 2022: 4 · 2021: 12 · 2020: 11 · 2019: 4 · 2018: 13 · 2017: 5 · 2016: 8
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- multitasking, dual-task interference, cognitive resource allocation, serial processing model, resource sharing models, time-resolved decoding, multivariate pattern analysis, magnetoencephalography, spatio-temporal decomposition
- MeSH terms
- Acoustic Stimulation, Attention, Auditory Perception, Brain, Humans, Photic Stimulation, Psychomotor Performance, Reaction Time, Visual Perception, Magnetoencephalography
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