Version classiqueVersion mobile

Human and Machine Consciousness

 | 
David Gamez

Bibliography

Texte intégral

Ahrens, M. B. and Keller, P. J. (2013). Whole-brain functional imaging at cellular resolution using light-sheet microscopy. Nature Methods 10: 413–20. https://doi.org/10.1038/nmeth.2434

Alvarado, C. S. (1982). ESP during out-of-body experiences: a review of experimental studies. Journal of Parapsychology 46: 209–30.

Ananthanarayanan, R., Esser, S. K., Simon, H. D. and Modha, D. S. (2009). The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses. Proceedings of Conference on High Performance Computing Networking, Storage and Analysis, Portland, Oregon, ACM, pp. 1–12. https://doi.org/10.1145/1654059.1654124

Aronson, J. (1971a). The Legacy of Hume’s Analysis of Causation. Studies in History and Philosophy of Science 2(2): 135–56. https://doi.org/10.1016/0039-3681(71)90028-8

Aronson, J. (1971b). On the Grammar of ‘Cause’. Synthese 22(3/4): 441–30. https://doi.org/10.1007/bf00413436

Arrabales, R., Ledezma, A. and Sanchis, A. (2010). ConsScale: A Pragmatic Scale for Measuring the Level of Consciousness in Artificial Agents. Journal of Consciousness Studies 17(3–4): 131–64.

Aru, J., Bachmann, T., Singer, W. and Melloni, L. (2012). Distilling the neural correlates of consciousness. Neuroscience & Biobehavioral Reviews 36(2): 737–46. https://doi.org/10.1016/j.neubiorev.2011.12.003

Asimov, I. (1952). I, Robot. London: Grayson & Grayson.

Baars, B. J. (1988). A Cognitive Theory of Consciousness. Cambridge; New York: Cambridge University Press.

Balduzzi, D. and Tononi, G. (2008). Integrated information in discrete dynamical systems: motivation and theoretical framework. PLoS Computational Biology 4(6): e1000091. https://doi.org/10.1371/journal.pcbi.1000091

Balduzzi, D. and Tononi, G. (2009). Qualia: the geometry of integrated information. PLoS Computational Biology 5(8): e1000462. https://doi.org/10.1371/journal.pcbi.1000462

Barrett, A. B. (2014). An integration of integrated information theory with fundamental physics. Frontiers in Psychology 5: 63. https://doi.org/10.3389/fpsyg.2014.00063

Barttfeld, P., Uhrig, L., Sitt, J. D., Sigman, M., Jarraya, B. and Dehaene, S. (2015). Signature of consciousness in the dynamics of resting-state brain activity. Proceedings of the National Academy of Sciences of the United States of America 112(3): 887–92. https://doi.org/10.1073/pnas.1418031112

Benjamin, B. V., Gao, P., McQuinn, E., Choudhary, S., Chandrasekaran, A. R., Bussat, J.-M., Alvarez-Icaza, R., Arthur, J. V., Merolla, P. A. and Boahen, K. (2014). Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. Proceedings of the IEEE 102(5): 699–716. https://doi.org/10.1109/jproc.2014.2313565

Berkeley, G. (1957). A Treatise Concerning the Principles of Human Knowledge. New York: Liberal Arts Press.

Bigelow, J., Ellis, B. and Pargetter, R. (1988). Forces. Philosophy of Science 55(4): 614–30. https://doi.org/10.1086/289464

Bigelow, J. and Pargetter, R. (1990). Metaphysics of Causation. Erkenntnis 33(1): 89–119. https://doi.org/10.1007/bf00634553

Billeh, Y. N., Schaub, M. T., Anastassiou, C. A., Barahona, M. and Koch, C. (2014). Revealing cell assemblies at multiple levels of granularity. Journal of Neuroscience Methods 236: 92–106. https://doi.org/10.1016/j.jneumeth.2014.08.011

Bishop, J. M. (2002). Counterfactuals cannot count: a rejoinder to David Chalmers. Consciousness and Cognition 11(4): 642–52. https://doi.org/10.1016/s1053-8100(02)00023-5

Bishop, J. M. (2009). A Cognitive Computation Fallacy? Cognition, Computations and Panpsychism. Cognitive Computation 1: 221–33. https://doi.org/10.1007/s12559-009-9019-6

Blackmore, S. J. (2010). Consciousness: An Introduction. London: Hodder Education.

Blake, R. (2001). A Primer on Binocular Rivalry, Including Current Controversies. Brain and Mind 2(1): 5–38. https://doi.org/10.1023/A:1017925416289

Blanke, O. and Arzy, S. (2005). The out-of-body experience: disturbed self-processing at the temporo-parietal junction. Neuroscientist 11(1): 16–24. https://doi.org/10.1177/1073858404270885

Block, N. (1995). On a Confusion about a Function of Consciousness. Behavioral and Brain Sciences 18(2): 227–47. https://doi.org/10.1017/s0140525x00038188

Block, N. (2006). Troubles with Functionalism. In Theories of Mind: An Introductory Reader, edited by M. Eckert. Maryland: Rowman & Littlefield, pp. 97–102.

Block, N. (2007). Consciousness, accessibility, and the mesh between psychology and neuroscience. Behavioral and Brain Sciences 30(5–6): 481–99. https://doi.org/10.1017/s0140525x07002786

Bor, D. (2012). The Ravenous Brain. New York: Basic Books.

Borges, J. L. (1970). Labyrinths: Selected Stories and Other Writings. London: Harmondsworth: Penguin.

Brown, J. R. and Fehige, Y. (2014) Thought Experiments. The Stanford Encyclopedia of Philosophy (Fall 2014 Edition), edited by. E. N. Zalta. http://plato.stanford.edu/archives/fall2014/entries/thought-experiment/

Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., Casarotto, S., Bruno, M. A., Laureys, S., Tononi, G. and Massimini, M. (2013). A theoretically based index of consciousness independent of sensory processing and behavior. Science Translational Medicine 5(198): 198ra05. https://doi.org/10.1126/scitranslmed.3006294

Castaneda, C. (1968). The teachings of Don Juan; a Yaqui way of knowledge. Berkeley; Los Angeles: University of California Press.

Chakravarthi, R. and Vanrullen, R. (2012). Conscious updating is a rhythmic process. Proceedings of the National Academy of Sciences of the United States of America 109(26): 10599–604. https://doi.org/10.1073/pnas.1121622109

Chalmers, D. J. (1995a). Absent Qualia, Fading Qualia, Dancing Qualia. In Conscious Experience, edited by T. Metzinger. Thorverton: Imprint Academic, pp. 309–28.

Chalmers, D. J. (1995b). Facing Up to the Problem of Consciousness. Journal of Consciousness Studies 2(3): 200–19.

Chalmers, D. J. (1996a). The Conscious Mind: In Search of a Fundamental Theory. Oxford: Oxford University Press.

Chalmers, D. J. (1996b). Does a rock implement every finite-state automaton. Synthese 108: 309–33. https://doi.org/10.1007/bf00413692

Chalmers, D. J. (1998). On the Search for the Neural Correlates of Consciousness. In Toward a Science of Consciousness II: The Second Tucson Discussions and Debates, edited by S. Hameroff, A. Kaszniak and A. Scott. Cambridge, Massachusetts: MIT Press, pp. 219–29.

Chalmers, D. J. (2000). What Is a Neural Correlate of Consciousness? In Neural Correlates of Consciousness, edited by T. Metzinger. Cambridge, Massachusetts: MIT Press, pp. 17–39.

Chalmers, D. J. (2010). The Singularity: A Philosophical Analysis. Journal of Consciousness Studies 17(9–10): 7–65.

Chawla, L. S., Akst, S., Junker, C., Jacobs, B. and Seneff, M. G. (2009). Surges of Electroencephalogram Activity at the Time of Death: A Case Series. Journal of Palliative Medicine 12(12): 1095–100. https://doi.org/10.1089/jpm.2009.0159

Chella, A., Liotta, M. and Macaluso, I. (2007). CiceRobot: a cognitive robot for interactive museum tours. Industrial Robot: An International Journal 34(6): 503–11. https://doi.org/10.1108/01439910710832101

Chella, A. and Manzotti, R., (eds.) (2007). Artificial Consciousness. Exeter: Imprint Academic.

Chen, R., Romero, G., Christiansen, M. G., Mohr, A. and Anikeeva, P. (2015). Wireless magnetothermal deep brain stimulation. Science 347(6229): 1477–80. https://doi.org/10.1126/science.1261821

Chrisley, R. (1995a). Taking Embodiment Seriously: Nonconceptual Content and Robotics. In Android Epistemology, edited by K. M. Ford, C. Glymour and P. J. Hayes. Cambridge and London: AAAI Press/The MIT Press.

Chrisley, R. (1995b). Why Everything Doesn’t Realize Every Computation. Minds and Machines 4: 403–20. https://doi.org/10.1007/bf00974167

Chrisley, R. and Parthemore, J. (2007). Synthetic phenomenology—Exploiting embodiment to specify the non-conceptual content of visual experience. Journal of Consciousness Studies 14(7): 44–58.

Clark, A. (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. New York; Oxford: Oxford University Press.

Cleeremans, A. (2005). Computational correlates of consciousness. Progress in Brain Research 150: 81–98. https://doi.org/10.1016/s0079-6123(05)50007-4

Cohen, M. A. and Dennett, D. C. (2011). Consciousness cannot be separated from function. Trends in Cognitive Sciences 15(8): 358–64. https://doi.org/10.1016/j.tics.2011.06.008

Crookall, R. (1972). Casebook of Astral Projection 546–746. New York: University Books.

Damasio, A. (1999). The Feeling of What Happens. London: Vintage Books.

Dash, M. (2011). Some experiments with severed heads. https://allkindsofhistory.wordpress.com/2011/01/25/some-experiments-with-severed-heads

de Graaf, T. A., Hsieh, P. J. and Sack, A. T. (2012). The ‘correlates’ in neural correlates of consciousness. Neuroscience & Biobehavioral Reviews 36(1): 191–97. https://doi.org/10.1016/j.neubiorev.2011.05.012

de Lavilleon, G., Lacroix, M. M., Rondi-Reig, L. and Benchenane, K. (2015). Explicit memory creation during sleep demonstrates a causal role of place cells in navigation. Nature Neuroscience 18(4): 493–95. https://doi.org/10.1038/nn.3970

Dehaene, S. (2014). Consciousness and the Brain: Deciphering how the Brain Codes our Thoughts. New York: Penguin.

Dehaene, S. and Changeux, J. P. (2011). Experimental and theoretical approaches to conscious processing. Neuron 70(2): 200–27. https://doi.org/10.1016/j.neuron.2011.03.018

Dell’Acqua, R. and Grainger, J. (1999). Unconscious semantic priming from pictures. Cognition 73(1): B1–B15. https://doi.org/10.1016/s0010-0277(99)00049-9

Demarse, T. B., Wagenaar, D. A., Blau, A. W. and Potter, S. M. (2001). The Neurally Controlled Animat: Biological Brains Acting with Simulated Bodies. Autonomous Robots 11(3): 305–10. https://doi.org/10.1023/a:1012407611130

Dennett, D. C. (1992). Consciousness Explained. London: The Penguin Press.

Dowe, P. (2000). Physical causation. Cambridge: Cambridge University Press. https://doi.org/10.1017/cbo9780511570650

Dzeroski, S. and Todorovski, L., (eds.) (2007). Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences. Berlin: Springer.

Eddington, A. S. S. (1928). The Nature of the Physical World. Cambridge: University Press.

Edelman, D. B. and Seth, A. K. (2009). Animal consciousness: a synthetic approach. Trends in Neurosciences 32(9): 476–84. https://doi.org/10.1016/j.tins. 2009.05.008

Eden, A. H., Moor, J. H., Søraker, J. H. and Steinhart, E., (eds.) (2012). Singularity Hypotheses: A Scientific and Philosophical Assessment. Berlin: Springer.

Ehrsson, H. H. (2007). The experimental induction of out-of-body experiences. Science 317(5841): 1048. https://doi.org/10.1126/science.1142175

Fair, D. (1979). Causation and the Flow of Energy. Erkenntnis 14: 219–50. https://doi.org/10.1007/bf00174894

Feinberg, T. E. and Mallatt, J. (2013). The evolutionary and genetic origins of consciousness in the Cambrian Period over 500 million years ago. Frontiers in Psychology 4: 667. https://doi.org/10.3389/fpsyg.2013.00667

Fell, J., Elger, C. E. and Kurthen, M. (2004). Do neural correlates of consciousness cause conscious states? Medical Hypotheses 63: 367–69. https://doi.org/10.1016/j.mehy.2003.12.048

Ferrarelli, F., Massimini, M., Sarasso, S., Casali, A., Riedner, B. A., Angelini, G., Tononi, G. and Pearce, R. A. (2010). Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness. Proceedings of the National Academy of Sciences of the United States of America 107(6): 2681–86. https://doi.org/10.1073/pnas.0913008107

Feyerabend, P. (1975). Against Method: Outline of an Anarchistic Theory of Knowledge. London: NLB.

Floridi, L. (2008). The Method of Levels of Abstraction. Minds and Machines 18(3): 303–29. https://doi.org/10.1007/s11023-008-9113-7

Floridi, L. (2009). Philosophical Conceptions of Information. Lecture Notes in Computer Science 5363: 13–53. https://doi.org/10.1007/978-3-642-00659-3_2

Floridi, L. (2010). Information: A Very Short Introduction. Oxford: Oxford University Press. https://doi.org/10.1093/actrade/9780199551378.001.0001

Franklin, S. (2003). IDA—A conscious artifact? Journal of Consciousness Studies 10(4–5): 47–66.

Friston, K. (1994). Functional and Effective Connectivity in Neuroimaging: A Synthesis. Human Brain Mapping 2: 56–78. https://doi.org/10.1002/hbm.460020107

Friston, K. J. (2011). Functional and effective connectivity: a review. Brain Connectivity 1(1): 13–36. https://doi.org/10.1089/brain.2011.0008

Froese, T., Gould, C. and Barrett, A. (2011). Re-Viewing from Within: A Commentary on First-and Second-Person Methods in the Science of Consciousness. Constructivist Foundations 6(2): 254–69.

Furber, S. and Temple, S. (2007). Neural systems engineering. Journal of the Royal Society Interface 4(13): 193–206. https://doi.org/10.1098/rsif.2006.0177

Galilei, G. (1957). Discoveries and Opinions of Galileo. Including: The Starry Messenger (1610), Letter to the Grand Duchess Christina (1615); And Excerpts from: Letters on Sunspots (1613), The Assayer (1623). Translated by S. Drake. New York: Doubleday & Co.

Gamez, D. (2006). The XML Approach to Synthetic Phenomenology. Proceedings of AISB06 Symposium on Integrative Approaches to Machine Consciousness, edited by R. Chrisley, R. Clowes and S. Torrance, Bristol, pp. 128–35.

Gamez, D. (2007). What We Can Never Know: Blindspots in Philosophy and Science. London: Continuum.

Gamez, D. (2008a). The Development and Analysis of Conscious Machines. Unpublished PhD Thesis, University of Essex.

Gamez, D. (2008b). Progress in machine consciousness. Consciousness and Cognition 17(3): 887–910. https://doi.org/10.1016/j.concog.2007.04.005

Gamez, D. (2009). The Potential for Consciousness of Artificial Systems. International Journal of Machine Consciousness 1(2): 213–23. https://doi.org/10.1142/s1793843009000190

Gamez, D. (2010). Information integration based predictions about the conscious states of a spiking neural network. Consciousness and Cognition 19(1): 294–310. https://doi.org/10.1016/j.concog.2009.11.001

Gamez, D. (2011). Information and Consciousness. Etica & Politica/Ethics & Politics, XIII(2): 215–34.

Gamez, D. (2012a). Empirically Grounded Claims about Consciousness in Computers. International Journal of Machine Consciousness 4(2): 421–38. https://doi.org/10.1142/s1793843012400240

Gamez, D. (2012b). From Baconian to Popperian Neuroscience. Neural Systems and Circuits 2(1): 2. https://doi.org/10.1186/2042-1001-2-2

Gamez, D. (2014a). Can we Prove that there are Computational Correlates of Consciousness in the Brain? Journal of Cognitive Science 15(2): 149–86. https://doi.org/10.17791/jcs.2014.15.2.149

Gamez, D. (2014b). Conscious Sensation, Conscious Perception and Sensorimotor Theories of Consciousness. In Contemporary Sensorimotor Theory, edited by J. M. Bishop and A. O. Martin. Switzerland: Springer International Publishing, pp. 159–74. https://doi.org/10.1007/978-3-319-05107-9_11

Gamez, D. (2014c). The measurement of consciousness: a framework for the scientific study of consciousness. Frontiers in Psychology 5: 714. https://doi.org/10.3389/fpsyg.2014.00714

Gamez, D. (2016). Are Information or Data Patterns Correlated with Consciousness? Topoi 35(1): 225–39. https://doi.org/10.1007/s11245-014-9246-7

Gamez, D. and Aleksander, I. (2011). Accuracy and performance of the state-based Φ and liveliness measures of information integration. Consciousness and Cognition 20(4): 1403–24. https://doi.org/10.1016/j.concog.2011.05.016

Gamez, D., Fountas, Z. and Fidjeland, A. K. (2013). A Neurally-controlled Computer Game Avatar with Human-like Behaviour. IEEE Transactions on Computational Intelligence and AI In Games 5(1): 1–14. https://doi.org/10.1109/tciaig.2012.2228483

Gescheider, G. A. (1997). Psychophysics: The Fundamentals. Mahwah, N. J.; London: Lawrence Erlbaum Associates.

Godwin, D., Barry, R. L. and Marois, R. (2015). Breakdown of the brain’s functional network modularity with awareness. Proceedings of the National Academy of Sciences of the United States of America.https://doi.org/10.1073/pnas.1414466112

Granger, C. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37: 424–38. https://doi.org/10.2307/1912791

Gravato Marques, H. and Holland, O. (2009). Architectures for Functional Imagination. Neurocomputing 72(4–6): 743–59. https://doi.org/10.1016/j.neucom.2008.06.016

Grier, D. A. F. (2005). When Computers were Human. Princeton, N. J.; Oxford: Princeton University Press.

Hameroff, S. and Penrose, R. (1996). Orchestrated Reduction of Quantum Coherence in Brain Microtubules: A Model for Consciousness?. Mathematics and Computers in Simulation 40: 453–80. https://doi.org/10.1016/0378-4754(96)80476-9

Harary, K. and Weintraub, P. (1989). Have an Out-of-body Experience in 30 days. Wellingborough: Aquarian, 1990.

Harnad, S. (1994). Levels of Functional Equivalence in Reverse Bioengineering: The Darwinian Turing Test for Artificial Life. Artificial Life 1(3): 293–301. https://doi.org/10.1162/artl.1994.1.293

Hayes, J. E., Wallace, M. R., Knopik, V. S., Herbstman, D. M., Bartoshuk, L. M. and Duffy, V. B. (2011). Allelic variation in TAS2R bitter receptor genes associates with variation in sensations from and ingestive behaviors toward common bitter beverages in adults. Chemical Senses 36(3): 311–19. https://doi.org/10.1093/chemse/bjq132

Hernández-Orallo, J. and Dowe, D. L. (2010). Measuring universal intelligence: Towards an anytime intelligence test. Artificial Intelligence 174: 1508–39. https://doi.org/10.1016/j.artint.2010.09.006

Hibbard, B. (2011). Measuring agent intelligence via hierarchies of environments. Proceedings of AGI 2011, edited by J. Schmidhuber, K. R. Thórisson and M. Looks, Springer-Verlag, pp. 303–08. https://doi.org/10.1007/978-3-642-22887-2_34

Holland, O., (ed.) (2003). Machine Consciousness. Exeter: Imprint Academic.

Horsman, C., Stepney, S., Wagner, R. C. and Kendon, V. (2014). When does a physical system compute? Proceedings of the Royal Society A 470: 20140182. https://doi.org/10.1098/rspa.2014.0182

Hume, D. (1993). An Enquiry Concerning Human Understanding. Indianapolis: Hackett Publishing Company.

Humphreys, P. (2004). Extending Ourselves: Computational Science, Empiricism, and Scientific Method. Oxford: Oxford University Press.

Hurlburt, R. T. and Akhter, S. A. (2006). The Descriptive Experience Sampling method. Phenomenology and the Cognitive Sciences 5: 271–301. https://doi.org/10.1007/s11097-006-9024-0

Husserl, E. (1960). Cartesian Meditations: An Introduction to Phenomenology. Translated by D. Cairns. The Hague: Martinus Nijhoff.

Husserl, E. (1964). The Phenomenology of Internal Time-Consciousness. Translated by J. S. Churchill. The Hague: Martinus Nijhoff.

Huxley, A. (1965). The Doors of Perception; Heaven and Hell. Harmondsworth: Penguin.

Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S. C., Dudek, P., Hafliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saighi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K. (2011). Neuromorphic silicon neuron circuits. Frontiers in Neuroscience 5: 73. https://doi.org/10.3389/fnins.2011.00073

Izhikevich, E. M. and Edelman, G. M. (2008). Large-scale model of mammalian thalamocortical systems. Proceedings of the National Academy of Sciences of the United States of America 105(9): 3593–98. https://doi.org/10.1073/pnas.0712231105

Jackendoff, R. (1987). Consciousness and the Computational Mind. Cambridge, Mass.; London: MIT Press in association with the British Psychological Society.

James, W. (1985). The Varieties of Religious Experience. Harmondsworth: Penguin.

Joy, B. (2000). Why the future doesn’t need us. Wired 8.04.

Kaczynski, T. J. (1996). The Unabomber Manifesto: Industrial Society and its Future. Berkeley, California: Jolly Roger.

Kant, I. (1996). Critique of Pure Reason. Translated by W. S. Pluhar. Indianapolis: Hackett Publishing Company.

Kentridge, R. W. (1994). Symbols, Neurons, Soap-Bubbles and the Computation Underlying Cognition. Minds and Machines 4(4): 439–49. https://doi.org/10.1007/BF00974169

Kim, J. (1998). Mind in a Physical World: An Essay on the Mind-body Problem and Mental Causation. Cambridge, Mass.: MIT Press.

Knott, G., Marchman, H., Wall, D. and Lich, B. (2008). Serial section scanning electron microscopy of adult brain tissue using focused ion beam milling. Journal of Neuroscience 28(12): 2959–64. https://doi.org/10.1523/JNEUROSCI.3189-07.2008

Koch, C. (2004). The Quest for Consciousness: A Neurobiological Approach. Englewood: Roberts & Company.

Koch, C., Massimini, M., Boly, M. and Tononi, G. (2016). Neural correlates of consciousness: progress and problems. Nature Reviews Neuroscience 17(5): 307–21. https://doi.org/10.1038/nrn.2016.22

Kotze, H. F. and Moller, A. T. (1990). Effect of auditory subliminal stimulation on GSR. Psychology Reports 67(3 Pt 1): 931–34.

Kouider, S. and Dehaene, S. (2007). Levels of processing during non-conscious perception: a critical review of visual masking. Philosophical Transactions of the Royal Society B: Biological Sciences 362(1481): 857–75. https://doi.org/10.1098/rstb.2007.2093

Kouider, S., Stahlhut, C., Gelskov, S. V., Barbosa, L. S., Dutat, M., de Gardelle, V., Christophe, A., Dehaene, S. and Dehaene-Lambertz, G. (2013). A neural marker of perceptual consciousness in infants. Science 340(6130): 376–80. https://doi.org/10.1126/science.1232509

Kuhn, T. S. (1962). The Structure of Scientific Revolutions. Chicago, London: University of Chicago Press.

Lamme, V. A. (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

Lamme, V. A. F. (2010). How neuroscience will change our view on consciousness. Cognitive Neuroscience 1(3): 204–40. https://doi.org/10.1080/17588921003731586

Latour, B. (1987). Science in Action: How to Follow Scientists and Engineers through Society. Milton Keynes: Open University Press.

Laureys, S., Antoine, S., Boly, M., Elincx, S., Faymonville, M. E., Berre, J., Sadzot, B., Ferring, M., De Tiege, X., van Bogaert, P., Hansen, I., Damas, P., Mavroudakis, N., Lambermont, B., Del Fiore, G., Aerts, J., Degueldre, C., Phillips, C., Franck, G., Vincent, J. L., Lamy, M., Luxen, A., Moonen, G., Goldman, S. and Maquet, P. (2002). Brain function in the vegetative state. Acta Neurologica Belgica 102(4): 177–85.

Lee, U., Mashour, G. A., Kim, S., Noh, G. J. and Choi, B. M. (2009). Propofol induction reduces the capacity for neural information integration: implications for the mechanism of consciousness and general anesthesia. Consciousness and Cognition 18(1): 56–64. https://doi.org/10.1016/j.concog.2008.10.005

Legg, S. and Hutter, M. (2007). Universal intelligence: A definition of machine intelligence. Minds and Machines 17: 391–444. https://doi.org/10.1007/s11023-007-9079-x

Legon, W., Sato, T. F., Opitz, A., Mueller, J., Barbour, A., Williams, A. and Tyler, W. J. (2014). Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans. Nature Neuroscience 17(2): 322–29. https://doi.org/10.1038/nn.3620

Lehar, S. (2003). The World in Your Head. Mahwah, New Jersey: Lawrence Erlbaum Associates.

Lewis, D. (1973). Causation. Journal of Philosophy 70(17): 556–67.

Libet, B. (1985). Unconscious cerebral initiative and the role of conscious will in voluntary action. Behavioral and Brain Sciences 6(8–9): 47–57. https://doi.org/10.1017/S0140525X00044903

Locke, J. (1997). An Essay Concerning Human Understanding. London: Penguin Books.

Lucretius Carus, T. (2007). The Nature of Things. Translated by A. E. Stallings. London: Penguin.

Lutz, A., Lachaux, J. P., Martinerie, J. and Varela, F. J. (2002). Guiding the study of brain dynamics by using first-person data: synchrony patterns correlate with ongoing conscious states during a simple visual task. Proceedings of the National Academy of Sciences of the United States of America 99(3): 1586–91. https://doi.org/10.1073/pnas.032658199

Mackie, J., L. (1993). Causes and Conditions. In Causation, edited by E. Sosa and M. Tooley. Oxford: Oxford University Press, pp. 33–55.

Mainland, J. D., Keller, A., Li, Y. R., Zhou, T., Trimmer, C., Snyder, L. L., Moberly, A. H., Adipietro, K. A., Liu, W. L., Zhuang, H., Zhan, S., Lee, S. S., Lin, A. and Matsunami, H. (2014). The missense of smell: functional variability in the human odorant receptor repertoire. Nature Neuroscience 17(1): 114–20. https://doi.org/10.1038/nn.3598

Markram, H. (2006). The Blue Brain project. Nature Reviews Neuroscience 7(2): 153–60. https://doi.org/10.1038/nrn1848

Marx, V. (2014). Neurobiology: rethinking the electrode. Nature Methods 11: 1099–103. https://doi.org/10.1038/nmeth.3149

Massimini, M., Boly, M., Casali, A., Rosanova, M. and Tononi, G. (2009). A perturbational approach for evaluating the brain’s capacity for consciousness. Progress in Brain Research 177: 201–14. https://doi.org/10.1016/S0079-6123(09)17714-2

Mayerich, D., Abbott, L. and McCormick, B. (2008). Knife-edge scanning microscopy for imaging and reconstruction of three-dimensional anatomical structures of the mouse brain. Journal of Microscopy 231(Pt 1): 134–43. https://doi.org/10.1111/j.1365-2818.2008.02024.x

McFadden, J. (2002). Synchronous Firing and its Influence on the Brain’s Electromagnetic Field. Journal of Consciousness Studies 9(4): 23–50.

McGinn, C. (1989). Can We Solve the Mind-Body Problem? Mind 98(391): 349–66.

Melzack, R. (1990). Phantom limbs and the concept of a neuromatrix. Trends in Neurosciences 13(3): 88–92.

Melzack, R. (1992). Phantom limbs. Scientific American 266(4): 120–26.

Merikle, P. M. and Daneman, M. (1996). Memory for unconsciously perceived events: evidence from anesthetized patients. Consciousness and Cognition 5(4): 525–41. https://doi.org/10.1006/ccog.1996.0031

Metzinger, T. (2000). Consciousness Research at the End of the Twentieth Century. In Neural Correlates of Consciousness: Empirical and Conceptual Questions, edited by T. Metzinger. Cambridge, Mass.: MIT Press, pp. 1–12.

Metzinger, T. (2003). Being No One: The Self-model Theory of Subjectivity. Cambridge, Mass.: MIT Press.

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S. and Hassabis, D. (2015). Human-level control through deep reinforcement learning. Nature 518(7540): 529–33. https://doi.org/10.1038/nature14236

Monti, M. M., Vanhaudenhuyse, A., Coleman, M. R., Boly, M., Pickard, J. D., Tshibanda, L., Owen, A. M. and Laureys, S. (2010). Willful modulation of brain activity in disorders of consciousness. New England Journal of Medicine 362(7): 579–89. https://doi.org/10.1056/NEJMoa0905370

Moor, J. H. (1988). Testing Robots for Qualia. In Perspectives on Mind, edited by H. R. Otto and J. A. Tuedio. Dordrecht/Boston/Lancaster/Tokyo: D. Reidel Publishing Company.

Moravec, H. (1988). Mind Children: The Future of Robot and Human Intelligence. Cambridge, Massachusetts; London: Harvard University Press.

Nagel, S. K., Carl, C., Kringe, T., Martin, R. and Konig, P. (2005). Beyond sensory substitution—learning the sixth sense. Journal of Neural Engineering 2(4): R13–26. https://doi.org/10.1088/1741-2560/2/4/R02

Nagel, T. (1974). What Is It Like to Be a Bat? The Philosophical Review 83: 435–56.

Nikolenko, V., Poskanzer, K. E. and Yuste, R. (2007). Two-photon photostimulation and imaging of neural circuits. Nature Methods 4(11): 943–50. https://doi.org/10.1038/nmeth1105

Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B. and Gallant, J. L. (2011). Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology 21(19): 1641–46. https://doi.org/10.1016/j.cub.2011.08.031

Noë, A. (2004). Action in Perception. Cambridge, Massachusetts; London: MIT.

O’Regan, J. K. (1992). Solving the “real” mysteries of visual perception: the world as an outside memory. Canadian Journal of Psychology 46(3): 461–88.

O’Regan, J. K. and Noë, A. (2001). A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences 24(5): 939–73. https://doi.org/10.1017/S0140525X01000115

Öhman, A. and Soares, J. J. F. (1994). “Unconscious Anxiety”: Phobic Responses to Masked Stimuli. Journal of Abnormal Psychology 103(2): 231–40.

Oizumi, M., Albantakis, L. and 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

Ophiel (1970). The Art and Practice of Astral Projection (Ninth Edition). St. Paul, Minnesota: Peach Publishing Co.

Owen, A. M., Coleman, M. R., Boly, M., Davis, M. H., Laureys, S. and Pickard, J. D. (2006). Detecting awareness in the vegetative state. Science 313(5792): 1402. https://doi.org/10.1126/science.1130197

Palmer, S. E. (1999). Color, consciousness, and the isomorphism constraint. Behavioral and Brain Sciences 22(6): 923–43.

Parker, E. S., Cahill, L. and McGaugh, J. L. (2006). A case of unusual autobiographical remembering. Neurocase 12(1): 35–49. https://doi.org/10.1080/13554790500473680

Pedhazur, E. J. and Schmelkin, L. P. (1991). Measurement, design, and analysis: an integrated approach. Hillsdale, N. J.: Lawrence Erlbaum Associates.

Persaud, N., McLeod, P. and Cowey, A. (2007). Post-decision wagering objectively measures awareness. Nature Neuroscience 10(2): 257–61. https://doi.org/10.1038/nn1840

Petitmengin, C. (2006). Describing one’s subjective experience in the second person: An interview method for the science of consciousness. Phenomenology and the Cognitive Sciences 5: 229–69. https://doi.org/10.1007/s11097-006-9022-2

Piccinini, G. (2007). Computing Mechanisms. Philosophy of Science 74: 501–26. https://doi.org/10.1086/522851

Piccinini, G. (2012) Computation in Physical Systems. The Stanford Encyclopedia of Philosophy (Fall 2012 Edition), edited by. E. N. Zalta. http://plato.stanford.edu/archives/fall2012/entries/computation-physicalsystems/

Pitts, M. A., Metzler, S. and 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

Pockett, S. (2000). The Nature of Consciousness: A Hypothesis. San Jose, California: Writers Club Press.

Popper, K. R. (2002). The Logic of Scientific Discovery. London: Routledge.

Prinz, J. J. (2003). Level-headed Mysterianism and artificial experience. In Machine Consciousness, edited by O. Holland. Exeter: Imprint Academic.

Putnam, H. (1975). Mind, Language and Reality. Cambridge: Cambridge University Press.

Putnam, H. (1988). Representation and Reality. Cambridge, Massachusetts; London: MIT Press.

Ramirez, S., Liu, X., Lin, P. A., Suh, J., Pignatelli, M., Redondo, R. L., Ryan, T. J. and Tonegawa, S. (2013). Creating a false memory in the hippocampus. Science 341(6144): 387–91. https://doi.org/10.1126/science.1239073

Rast, A., Galluppi, F., Davies, S., Plana, L., Patterson, C., Sharp, T., Lester, D. and Furber, S. (2011). Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware. Neural Networks 24(9): 961–78. https://doi.org/10.1016/j.neunet.2011.06.014

Rees, G., Kreiman, G. and Koch, C. (2002). Neural correlates of consciousness in humans. Nature Reviews Neuroscience 3(4): 261–70. https://doi.org/10.1038/nrn783

Reggia, J. A. (2013). The rise of machine consciousness: studying consciousness with computational models. Neural Networks 44: 112–31. https://doi.org/10.1016/j.neunet.2013.03.011

Rensink, R. A., O’Regan, J. K. and Clark, J. J. (1997). To See or Not to See: The Need for Attention to Perceive Changes in Scenes. Psychological Science 8(5): 368–73. https://doi.org/10.1111/j.1467-9280.1997.tb00427.x

Rorty, R. (1980). Philosophy and the Mirror of Nature. Oxford: Basil Blackwell.

Russell, B. (1927). An Outline of Philosophy. London: G. Allen & Unwin.

Sandberg, K., Timmermans, B., Overgaard, M. and Cleeremans, A. (2010). Measuring consciousness: is one measure better than the other? Consciousness and Cognition 19(4): 1069–78. https://doi.org/10.1016/j.concog.2009.12.013

Schmidt, M. and Lipson, H. (2009). Distilling free-form natural laws from experimental data. Science 324(5923): 81–85. https://doi.org/10.1126/science.1165893

Schreiber, T. (2000). Measuring information transfer. Physical Review Letters 85(2): 461–64. https://doi.org/10.1103/PhysRevLett.85.461

Schule, M. (2014). Natural Computation: the Cellular Automata Case. Proceedings of 7th AISB Symposium on Computing and Philosophy, edited by J. Preston and Y. Erden, London, AISB.

Schutz, K., Schendzielarz, I., Zwitserlood, P. and Vorberg, D. (2007). Nice wor_ if you can get the wor_: subliminal semantic and form priming in fragment completion. Consciousness and Cognition 16(2): 520–32. https://doi.org/10.1016/j.concog.2006.09.001

Searle, J. R. (1980). Minds, Brains, and Programs. Behavioral and Brain Sciences 3(3): 417–57. https://doi.org/10.1017/S0140525X00005756

Seo, D., Carmena, J. M., Rabaey, J. M., Alon, E. and Maharbiz, M. M. (2013). Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces. arXiv 1307.2196.

Seth, A. K. (2009). The Strength of Weak Artificial Consciousness. International Journal of Machine Consciousness 1(1): 71–82. https://doi.org/10.1142/S1793843009000086

Seth, A. K., Dienes, Z., Cleeremans, A., Overgaard, M. and Pessoa, L. (2008). Measuring consciousness: relating behavioural and neurophysiological approaches. Trends in Cognitive Sciences 12(8): 314–21. https://doi.org/10.1016/j.tics.2008.04.008

Seth, A. K., Izhikevich, E., Reeke, G. N. and Edelman, G. M. (2006). Theories and measures of consciousness: an extended framework. Proceedings of the National Academy of Sciences of the United States of America 103(28): 10799–804. https://doi.org/10.1073/pnas.0604347103

Shagrir, O. (2005). The Rise and Fall of Computational Functionalism. In Hilary Putnam, edited by Y. Ben-Menahem. Cambridge: Cambridge University Press, pp. 220–50.

Shanahan, M. (2008). A spiking neuron model of cortical broadcast and competition. Consciousness and Cognition 17(1): 288–303. https://doi.org/10.1016/j.concog.2006.12.005

Shanahan, M. (2010). Embodiment and the Inner Life: Cognition and Consciousness in the Space of Possible Minds. Oxford: Oxford University Press.

Shanahan, M. and Wildie, M. (2012). Knotty-centrality: finding the connective core of a complex network. PLoS One 7(5): e36579. https://doi.org/10.1371/journal.pone.0036579

Shannon, C. E. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal 27: 379–423, 623–56.

Simons, D. J. and Chabris, C. F. (1999). Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception 28(9): 1059–74. https://doi.org/10.1068/p281059

Simons, D. J. and Rensink, R. A. (2005). Change blindness: past, present, and future. Trends in Cognitive Sciences 9(1): 16–20. https://doi.org/10.1016/j.tics.2004.11.006

Sloman, A. (2006). Why Asimov’s Three Laws of Robotics Are Unethical. http://www.cs.bham.ac.uk/research/projects/cogaff/misc/asimov-three-laws.html

Smart, J. J. C. (1959). Sensations and Brain Processes. The Philosophical Review 68(2): 141–56.

Sparkes, A., Aubrey, W., Byrne, E., Clare, A., Khan, M. N., Liakata, M., Markham, M., Rowland, J., Soldatova, L. N., Whelan, K. E., Young, M. and King, R. D. (2010). Towards Robot Scientists for autonomous scientific discovery. Automated Experimentation 2: 1. https://doi.org/10.1186/1759-4499-2-1

Stevens, S. S. (1968). Measurement, statistics, and the schemapiric view. Like the faces of Janus, science looks two ways—toward schematics and empirics. Science 161(3844): 849–56.

Strawson, G. (2015). The Consciousness Myth. The Times Literary Supplement 5839: 14–15.

Taylor, C. C. W. (1999). The Atomists: Leucippus and Democritus: Fragments: A Text and Translation with a Commentary. Toronto: University of Toronto Press.

Teasdale, G. and Jennett, B. (1974). Assessment of coma and impaired consciousness. A practical scale. Lancet 2(7872): 81–84.

Tononi, G. (2004). An information integration theory of consciousness. BMC Neuroscience 5: 42. https://doi.org/10.1186/1471-2202-5-42

Tononi, G. (2008). Consciousness as Integrated Information: A Provisional Manifesto. Biological Bulletin 215(3): 216–42. https://doi.org/10.2307/25470707

Tononi, G. (2012). Phi: a voyage from the brain to the soul. New York: Pantheon.

Tononi, G. and Koch, C. (2008). The neural correlates of consciousness: an update. Annals of the New York Academy of Sciences 1124: 239–61. https://doi.org/10.1196/annals.1440.004

Tononi, G. and Sporns, O. (2003). Measuring information integration. BMC Neuroscience 4: 31. https://doi.org/10.1186/1471-2202-4-31

van der Hoort, B., Guterstam, A. and Ehrsson, H. H. (2011). Being Barbie: the size of one’s own body determines the perceived size of the world. PLoS One 6(5): e20195. https://doi.org/10.1371/journal.pone.0020195

Van Heuveln, B., Dietrich, E. and Oshima, M. (1998). Let’s dance! The equivocation in Chalmers’dancing qualia argument. Minds and Machines 8: 237–49. https://doi.org/10.1023/A:1008273402702

van Rijn, C. M., Krijnen, H., Menting-Hermeling, S. and Coenen, A. M. (2011). Decapitation in rats: latency to unconsciousness and the ‘wave of death’. PLoS One 6(1): e16514. https://doi.org/10.1371/journal.pone.0016514

VanRullen, R. and Koch, C. (2003). Is perception discrete or continuous? Trends in Cognitive Sciences 7(5): 207–13. https://doi.org/10.1016/S1364-6613(03)00095-0

Vigen, T. (2016). Spurious Correlations. http://tylervigen.com/spurious-correlations

Warwick, K., Xydas, D., Nasuto, S. J., Becerra, V. M., Hammond, M. W., Downes, J. H., Marshall, S. and Whalley, B. J. (2010). Controlling a Mobile Robot with a Biological Brain. Defence Science Journal 60(1): 5–14.

Wegner, D. M. (2002). The Illusion of Conscious Will. Cambridge, Mass.; London: MIT Press.

Weiskrantz, L. (1986). Blindsight: A Case Study and Implications. Oxford: Clarendon.

Wheeler, J. A. (1990). Information, Physics, Quantum: The Search for Links. In Complexity, Entropy, and the Physics of Information, edited by W. Zurek. Redwood City: Addison-Wesley.

Wilkes, K. V. (1988a). Real People: Personal Identity without Thought Experiments. Oxford: Clarendon.

Wilkes, K. V. (1988b). ___, yìshì, duh, um, and consciousness. In Consciousness in Contemporary Science, edited by A. J. Marcel and E. Bisiach. Oxford: Clarendon Press, pp. 16–41.

Wilkins, L. K., Girard, T. A. and Cheyne, J. A. (2011). Ketamine as a primary predictor of out-of-body experiences associated with multiple substance use. Consciousness and Cognition 20: 943–50. https://doi.org/10.1016/j.concog.2011.01.005

Wilson, D. L. (1993). Quantum theory and consciousness. Behavioral and Brain Sciences 16(3): 615–16. https://doi.org/10.1017/S0140525X00031952

Wilson, D. L. (1999). Mind-Brain Interaction and the Violation of Physical Laws. Journal of Consciousness Studies 6(8–9): 185–200.

Wittgenstein, L. (1969). On Certainty. Translated by D. Paul and G. E. M. Anscombe. Oxford: Blackwell.

Wolfram, S. (2002). A New Kind of Science. Champaign, Ill.: Wolfram Media; London: Turnaround.

Yang, B., Treweek, J. B., Kulkarni, R. P., Deverman, B. E., Chen, C. K., Lubeck, E., Shah, S., Cai, L. and Gradinaru, V. (2014). Single-cell phenotyping within transparent intact tissue through whole-body clearing. Cell 158(4): 945–58. https://doi.org/10.1016/j.cell.2014.07.017

Yin, M., Borton, D. A., Aceros, J., Patterson, W. R. and Nurmikko, A. V. (2013). A 100-channel hermetically sealed implantable device for chronic wireless neurosensing applications. IEEE Transactions on Biomedical Circuits and Systems 7(2): 115–28. https://doi.org/10.1109/TBCAS.2013.2255874

Zeki, S. and Bartels, A. (1999). Towards a theory of visual consciousness. Consciousness and Cognition 8(2): 225–59. https://doi.org/10.1006/ccog.1999.0390

Zingg, B., Hintiryan, H., Gou, L., Song, M. Y., Bay, M., Bienkowski, M. S., Foster, N. N., Yamashita, S., Bowman, I., Toga, A. W. and Dong, H. W. (2014). Neural networks of the mouse neocortex. Cell 156(5): 1096–111. https://doi.org/10.1016/j.cell.2014.02.023

Zuse, K. (1970). Calculating Space. Cambridge, Mass.: Massachusetts Institute of Technology, Project MAC.

Zylberberg, A., Fernandez Slezak, D., Roelfsema, P. R., Dehaene, S. and Sigman, M. (2010). The brain’s router: a cortical network model of serial processing in the primate brain. PLoS Computational Biology 6(4): e1000765. https://doi.org/10.1371/journal.pcbi.1000765

Acheter

Rechercher dans OpenEdition Search

Vous allez être redirigé vers OpenEdition Search