Abstract
In this chapter we will review a set of models of consciousness that are presently considered the most promising by those working in the field of neurally-based models of consciousness. We specify that the models we evaluate are indeed neurally-based, since neural networks form the basic structure of the brain. However the models need not necessarily be ones expressed in mathematical formulae, ready for simulation (as we developed in Sect. 2.2 and the associated Appendix). The criterion we will apply will be in terms of the use in the models of various components of the brain, with functionality of those components being seen to be based on that of the various lobes or modules of the cortex or of sub-cortical nuclei.
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References
Aleksander I, Morton H (2007) Phenomenology and digital neural architectures. Neural Netw 20:932–937
Amari S-I (1977) Dynamics of pattern formation in lateral-inhibition type neural fields. Biol Cybern 27:77–87
Baars B (1998) A cognitive theory of consciousness. Cambridge University Press, Cambridge
Baars B (2002) The conscious access hypothesis: origins and recent evidence. Trends Cogn Sci 6(1):47–52
Bar M, Biederman I (1998) Subliminal visual priming. Psychol Sci 9(6):464–469
Bressler SL, Tang W, Sylvester CM, Shulman GL, Corbetta M (2008) Top-down control of human visual cortex by frontal and parietal cortex in anticipatory visual spatial attention. J Neurosci 28(40):10056–10061
Carruthers P (1996) Natural theories of consciousness. Eur J Philos 6:203–222
Cermolacce M, Naudin J, Parnas J (2007) The “minimal self” in psychopathology: re-examining the self-disorders in the schizophrenia spectrum. Conscious Cogn 16:703–714
Chalmers D (1997) The conscious mind: in search of a fundamental theory. Oxford University Press, Oxford
Corbetta M, Patel G, Shulman GL (2008) The reorienting system of the human brain: from environment to theory of mind. Neuron 58:306–324
Crick FHC (2004) The astonishing hypothesis. Cambridge University Press, Cambridge
Crick FHC, Koch C (1990) Towards a neurobiological theory of consciousness. Semin Neurosci 2:263–275
Crick FHC, Koch C (2003) A framework for consciousness. Nat Neurosci 6:119–126
Edelman GM (1992) Bright air brilliant fire. Basic Books, New York
Edelman GM, Tononi G (2000) A universe of consciousness. Basic Books, New York
Fernandez-Duque D, Thornton JM (2000) Change detection without awareness. Vis Cogn 7:323–344
Freeman WJ (2007) Indirect biological measures of consciousness from field studies of brains as dynamical systems. Neural Netw 20:1021–1031
Gold I (1999) Does 40Hz oscillation play a role in visual consciousness? Conscious Cogn 8:186–195
Gregoriou GG, Gotts SJ, Zhou H, Desimone R (2009) High-frequency, long-range coupling between prefrontal and visual cortex during attention. Science 324:1207–1210
Grossberg S (1976) Adaptive pattern classification and universal recoding, I: parallel development and coding of neural feature detectors & II: feedback, expectation, olfaction, and illusions. Biol Cybern 23:121–134, & 187–202
Kentridge RW, Heywood CA, Weiskrantz L (1999) Attention without awareness in blindsight. Proc Biol Sci 266:1805–1811
Koch C, Tsuchiya N (2007) Attention and consciousness: two distinct brain processes. Trends Cogn Sci 11(1):16–22
Kounios J et al (2009) The origin of insight in resting state behaviour. Neuropsychologia 46(1):281–291
Laberge D, Kasevich R (2007) The apical dendritic theory of consciousness. Neural Netw 20:1004–1020
Lamme VAF (2006) Towards a true neural stance on consciousness. Trends Cogn Sci 10(11):494–501
Landman R, Spekreijse H, Lamme VAF (2003) Large capacity storage of integrated objects before change blindness. Vision Res 43:149–164
Leopold DA (2012) Primary visual cortex: consciousness and blindsight. Ann Rev Neurosci 35:91–109
Levine J (1983) Materialism and qualia: the explanatory gap. Pac Philos Q 64:354–361
Nagel T (1974) What is it like to be a bat? Philos Rev 83:434–450
Pollen DA (2003) Explicit neural representations, recursive neural networks and conscious visual perception. Cereb Cortex 13(8):807–814
Rolls E (2007) A computational neuroscience approach to consciousness. Neural Netw 20(9):962–982
Rolls E (2011) Consciousness, decision making and neural computation. In: Cutsuridis V, Hussain A, Taylor JG (eds) Perception-action cycle: models, algorithms and hardware. Springer, New York, pp 287–334
Rosenthal D (1986) Two concepts of consciousness. Philos Stud 49:329–359
Rosenthal D (1993) Thinking that one thinks. In: Humphreys G, Davies M (eds) Consciousness. Blackwell, Oxford
Rowlands M (2001) Consciousness and higher-order thoughts. Mind Lang 16(3):290–310
Sass LA, Parnas J (2003) Schizophrenia, consciousness and the self. Schizophr Bull 29(3):427–444
Seth A (2007) Models of consciousness. Scholarpedia 2(1):1328
Seth A, Izhikevich E, Reeke GN, Edelman GM (2006) Theories and measures of consciousness: an extended framework. Proc Natl Acad Sci USA 103(28):10799–10804
Shanahan MP (2005) Global access, embodiment, and the conscious subject. J Conscious Stud 12(12):46–66
Shapiro KL, Raymond JE, Ansell KM (1994) Attention to visual pattern information produces the attentional blink in rapid serial visual presentation. J Exp Psychol: Hum Percept Perform 20:357–371
Shoemaker S (1968) Self reference & self-awareness. J Philos 65:555–567
Sokolowski R (2000) Introduction to phenomenology. Cambridge University Press, Cambridge
Taylor JG (1999a) The race for consciousness. MIT Press, Cambridge, MA
Taylor JG (1999b) Neural bubble dynamics in two dimensions: foundations. Biol Cybern 80:5167–5174
Taylor JG (2007) The CODAM model: through attention to consciousness. Scholarpedia 2(11):1598
Taylor JG (2009) Beyond consciousness? Int J Mach Conscious 1(1):11–21
Taylor JG (2010) The ‘I’ ’s eye view of its consciousness. J Conscious Stud 17(1–2):95–117
Taylor JG (2011a) A neural model of the loss of self in schizophrenia. Schizophr Bull 37(6):1229–1247
Taylor JG (2011b) Can functional and phenomenal consciousness be divided? In: Proceedings of AISB 2011 on machine consciousness, University of York, 4–7 April 2011
Taylor JG, Fragopanagos N (2007) Resolving some confusions over attention and consciousness. Neural Netw 20:993–1003
Taylor JG, Horwitz B, Shah NJ, Fellenz WA, Mueller-Gaertner H-W, Krause JB (2000) Decomposing memory: functional assignments and brain traffic in paired word associate learning. Neural Netw 13(8–9):923–940
Tsuchiya N, Koch C (2008) Attention and consciousness. Scholarpedia 3(5):4173
Wallace R (2005) Consciousness: a mathematical treatment of the global neuronal workspace model. Springer, Berlin/New York
Zahavi D (2005) Subjectivity and selfhood: investigating the first-person perspective. MIT Press, Cambridge, MA
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Taylor, J.G. (2013). Current Brain Based Models of Consciousness. In: Solving the Mind-Body Problem by the CODAM Neural Model of Consciousness?. Springer Series in Cognitive and Neural Systems, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7645-6_4
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DOI: https://doi.org/10.1007/978-94-007-7645-6_4
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