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Some Reflections on Visual Awareness
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Koch 1990) that outlined a sketch of such a theory. Our aim was not to produce as complete a theory of con-sciousness as possible but to indicate promising lines of experimental work, mainly neurobiological, that might lead eventually toward a solution of the problem. We made the plausible assumption that all forms of con-sciousness (e.g., seeing, thinking, and pain) employ, at bottom, rather similar mechanisms and that if one form were understood, it would be much easier to tackle the others. We then made the personal choice of the mam-malian visual system as the most promising one for an experimental ttack. This choice means that fascinating aspects of the subject, such as volition, intentionality, and self-consciousness, to say nothing of the problem of qualia, have had to be left on one side. We have also not dwelt on unusual psychological states, such as hypnosis, dreaming, lucid dreaming, and sleepwalking, to say nothing of meditative states, since we do not see any special advantage in studying them experimentally at this stage. Our method is to combine what is known experimen-tally from both psychological nd neurobiological ex-periments with plausible theoretical arguments of a general nature. We have not so far attempted etailed computer simulations, ince it is unlikely that we under-stand the details of the system well enough for such modeling to provide decisive answers. In the long run, however, modeling is essential, and even at this stage, well-conceived computer simulations should suggest plausible general principles and thus guide the ex-perimental attack on what is obviously a system of enormous complexity and subtlety. In our previous paper (Crick and Koch 1990), we listed a number of topics and assumptions that we did not intend to discuss. This list will not be repeated here in toto except o say that we have assumed the higher mammals have a form of visual awareness fairly similar to ours, so that we can, with discretion, combine ex-perimental results on humans with those from mon-keys, cats, and so on.
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Cited by
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
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
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
An information integration theory of consciousness
Tononi, G. (2004) · BMC Neuroscience · doi:10.1186/1471-2202-5-42 · Cited by 1,958
Breakdown of cortical effective connectivity during sleep
Massimini, M., Ferrarelli, F., Huber, R., Esser, S. K., Singh, H., & Tononi, G. (2005) · Science · doi:10.1126/science.1117256 · Cited by 1,534
Tononi, G. (1998) · Science · doi:10.1126/science.282.5395.1846 · Cited by 1,561
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Multisensory brain mechanisms of bodily self-consciousness.
Blanke, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3292 · Cited by 1,147
Crone, N. (1998) · Brain · doi:10.1093/brain/121.12.2301 · Cited by 1,044
Synchronous neural oscillations and cognitive processes
Ward, L. M. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.012 · Cited by 1,009
Contrast-based image attention analysis by using fuzzy growing
Ma, Y.-F., & Zhang, H.-J. (2003) · Proceedings of the eleventh ACM international conference on Multimedia · doi:10.1145/957013.957094 · Cited by 965
Coherent 40-Hz oscillation characterizes dream state in humans.
Llinás, R., & Ribary, U. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.2078 · Cited by 962
Consciousness: here, there and everywhere?
Tononi, G., & Koch, C. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0167 · Cited by 811
Self-citationNeural correlates of consciousness in humans
Rees, G., Kreiman, G., & Koch, C. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn783 · Cited by 742
Self-citationThe Neural Correlates of Consciousness: An Update
Tononi, G., & Koch, C. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.004 · Cited by 627
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606
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
The Temporal Correlation Hypothesis of Visual Feature Integration
Gray, C. M. (1999) · Neuron · doi:10.1016/s0896-6273(00)80820-x · Cited by 541
Enhancement of human cognitive performance using transcranial magnetic stimulation (TMS)
Luber, B., & Lisanby, S. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.007 · Cited by 508
von der Malsburg, C. (1999) · Neuron · doi:10.1016/s0896-6273(00)80825-9 · Cited by 501
Cortex, Cognition and the Cell: New Insights into the Pyramidal Neuron and Prefrontal Function
Elston, G. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg093 · Cited by 440
Steriade, M. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.583 · Cited by 429
Toward a computational theory of conscious processing
Dehaene, S., Charles, L., King, J.-R., & Marti, S. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.005 · Cited by 404
Temporal binding, binocular rivalry, and consciousness
Engel, A. K., Fries, P., König, P., Brecht, M., & Singer, W. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1999.0389 · Cited by 379
The cortex as a central pattern generator
Yuste, R., MacLean, J. N., Smith, J., & Lansner, A. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1686 · Cited by 355
The relation of brain oscillations to attentional networks
Fan, J., Byrne, J., Worden, M. S., Guise, K. G., McCandliss, B. D., Fossella, J., & Posner, M. I. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1833-07.2007 · Cited by 286
Oscillations and Filtering Networks Support Flexible Routing of Information
Akam, T., & Kullmann, D. M. (2010) · Neuron · doi:10.1016/j.neuron.2010.06.019 · Cited by 245
Toward a theory of visual consciousness.
Zeki, S., & Bartels, A. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1999.0390 · Cited by 271
Consciousness and the Brain: The Thalamocortical Dialogue in Health and Disease
LLINÁS, R., & RIBARY, U. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05715.x · Cited by 227
Panagiotaropoulos, T. I., Deco, G., Kapoor, V., & Logothetis, N. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.013 · Cited by 198
Introspective physicalism as an approach to the science of consciousness
Jack, A. (2001) · Cognition · doi:10.1016/s0010-0277(00)00128-1 · Cited by 198
Predictive processing as a systematic basis for identifying the neural correlates of consciousness
Hohwy, J., & Seth, A. (2020) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2020.ii.64 · Cited by 170
Gamma coherence and conscious perception
Meador, K. J., Ray, P. G., Echauz, J. R., Loring, D. W., & Vachtsevanos, G. J. (2002) · Neurology · doi:10.1212/wnl.59.6.847 · Cited by 161
Steriade, M. (1993) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(93)90064-6 · Cited by 93
Are we studying consciousness yet?
Lau, H. C. (2008) · Frontiers of ConsciousnessChichele Lectures · doi:10.1093/acprof:oso/9780199233151.003.0008 · Cited by 88
Information and selforganization: A unifying approach and applications
Haken, H., & Portugali, J. (2016) · Entropy · doi:10.3390/e18060197 · Cited by 75
Metadata
- Authors
- Crick, F., & Koch, C.
- Venue
- Cold Spring Harbor Symposia on Quantitative Biology
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1990-01-01
- Volume
- 55
- Issue
- 0
- Pages
- 953-962
- ISSN
- 0091-7451 (ISSN-L)
- 1943-4456
- OpenAlex
- W2083113378
- Cited by
- 335
- References
- 0
- Type
- posted content
- Language
- en
- Open access
- green
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