A Physiologically Based System Theory of Consciousness

coward, l andrew (1999) A Physiologically Based System Theory of Consciousness. [Book Chapter]

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A system which uses large numbers of devices to perform a complex functionality is forced to adopt a simple functional architecture by the needs to construct copies of, repair, and modify the system. A simple functional architecture means that functionality is partitioned into relatively equal sized components on many levels of detail down to device level, a mapping exists between the different levels, and exchange of information between components is minimized. In the instruction architecture functionality is partitioned on every level into instructions, which exchange unambiguous system information and therefore output system commands. The von Neumann architecture is a special case of the instruction architecture in which instructions are coded as unambiguous system information. In the recommendation (or pattern extraction) architecture functionality is partitioned on every level into repetition elements, which can freely exchange ambiguous information and therefore output only system action recommendations which must compete for control of system behavior. Partitioning is optimized to the best tradeoff between even partitioning and minimum cost of distributing data. Natural pressures deriving from the need to construct copies under DNA control, recover from errors, failures and damage, and add new functionality derived from random mutations has resulted in biological brains being constrained to adopt the recommendation architecture. The resultant hierarchy of functional separations can be the basis for understanding psychological phenomena in terms of physiology. A theory of consciousness is described based on the recommendation architecture model for biological brains. Consciousness is defined at a high level in terms of sensory independent image sequences including self images with the role of extending the search of records of individual experience for behavioral guidance in complex social situations. Functional components of this definition of consciousness are developed, and it is demonstrated that these components can be translated through subcomponents to descriptions in terms of known and postulated physiological mechanisms.

Item Type:Book Chapter
Keywords:consciousness; neurophysiology; cognitive architecture; evolution of consciousness; cognitive modeling
Subjects:Neuroscience > Neuropsychology
Psychology > Perceptual Cognitive Psychology
Psychology > Physiological Psychology
ID Code:2303
Deposited By: coward, l andrew
Deposited On:29 Jun 2002
Last Modified:11 Mar 2011 08:54

References in Article

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

Baars, B.J. (1994), 'A Neurobiological Interpretation of Global Workspace Theory' in 'Consciousness in Philosophy and Cognitive Neuroscience' ed. Revonsuo, A. and Kamppinen, M. (New Jersey: Erlbaum).

Baars, B.J. (1996), Understanding Subjectivity: Global Workspace Theory and the Resurrection of the Observing Self, Journal of Consciousness Studies, 3, (3)

Bressler, S. L. (1994) Dynamic self-organization in the brain as observed by transient cortical coherence, in: Pribam, K. (ed.) Origins: brain and self-organization, Hillsdale, NJ: Erlbaum.

Carpenter, G.A. and Grossberg, S. (1988), The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network, IEEE Computer, 3, 77-88

Cauller, L. (1995), Layer I of primary sensory neocortex: Where top-down converges with bottom-up, Behavioural Brain Research 71: 163-170

Cauller, L. (1997) NeuroInteractivism: Explaining Emergence without Representation, to be published.

Cauller, L. (1997a) Private communication.

Cotterill, R. (1995), 'On the unity of conscious experience', Journal of Consciousness Studies, 2, (4), pp 290-311.

Cottrell, G.W. and Metcalfe, J. (1991), Empath: Face, emotion and gender recognition using holons, in Advances in Neural Information Processing Systems 3, eds. Lippmann, R., Moody, J., and Touretzky, D. S., San Mateo, 557-564, CA: Morgan Kaufmann

Coward, L. A. (1990) Pattern Thinking, New York: Praeger.

Coward, L.A. (1996) Understanding of Consciousness through Application of Techniques for Design of Extremely Complex Electronic Systems, presented at Towards a Science of Consciousness, Tucson, Arizona.

Coward, L. A. (1997a) The Pattern Extraction Hierarchy Architecture: a Connectionist Alternative to the von Neumann Architecture, in Biological and Artificial Computation: from Neuroscience to Technology, eds. Mira., J., Morenzo-Diaz, R., and Cabestanz, J., 634-43, Berlin: Springer.

Coward, L.A. (1997b) Unguided Categorization, Direct and Symbolic Representation, and Evolution of Cognition in a Modified Connectionist Theory, in Proceedings of the International Conference New Trends in Cognitive Science, eds. Riegler, A. and Peschl, M., 139-146, Vienna: Austrian Society of Cognitive Science.

Coward, L.A. (1998) A Functional Architecture Approach to Neural Systems, to be published.

De Felipe, J., (1997) Microcircuits in the Brain, in Biological and Artificial Computation: from Neuroscience to Technology, eds. Mira., J., Morenzo-Diaz, R., and Cabestanz, J., 195-206, Springer: Berlin.

Dennett, D.C. (1991), Consciousness Explained' (Boston: Little John).

Douglas, R.J. and Martin, K.A. (1991), 'A Functional Microcircuit for Cat Visual Cortex', Journal of Physiology, 440, 735-769

Harlow, T. M. (1868) 'Recovery from passage of an iron bar through the head', New England Medical Society 2, 327-46

Harnad, S. (1987), Category Induction and Representation, in Categorical Perception: The Groundwork of Cognition (ed. Harnad, S), New York: Cambridge University Press.

Hebb, D. C. (1949) The Organization of Behaviour, New York: Wiley

Jaynes, J (1976), The Origin of Consciousness in the Breakdown of the Bicameral Mind' (Boston: Harvard).

Johnson, D.M. (1987), The Greek Origins of Belief, American Philosophical Quarterly 24, 4, 319-27.

Llinas, R., Ribary, U., Joliot, M., and Wang, X.-J. (1994), 'Content and Context in Temporal Thalamocortical Binding' in Temporal Coding in the Brain ed. Buzsaki G. et alii., Berlin: Springer.

Lorenz, K. (1977), Behind the Mirror, (New York: Methuen).

Marr, D. (1982), Vision , New York: W.H. Freeman.

Mendel, J. M. (1995), Fuzzy Logic Systems and Qualitative Knowledge, in The Handbook of Brain Theory and Neural Networks, ed. Arbib, M, Boston: MIT Press

Metzinger, T. (1996), Towards the Neural and Functional Correlates of Phenomenal Content ASSC Electronic Seminar

Mira, J., Herrero, J.C., and Delgado A.E. (1997) A Generic Formulation of Neural Nets as a Model of Parallel and Self Programming Computation, in Biological and Artificial Computation: from Neuroscience to Technology, eds. Mira., J., Morenzo-Diaz, R., and Cabestanz, J., 195-206, Springer: Berlin.

Newell, A. and Simon, H.A. (1976) Human Problem Solving, Englewood Cliffs N.J.: Prentice Hall

Pfeifer (1996), Symbols, Patterns and Behavior: Beyond the Information Processing Metaphor, in Encyclopedia of Microcomputers, 17, 253-75, New York: Marcel Dekker.

Ritter, H. (1995) Self-Organizing Feature Maps: Kohonen Maps, in The Handbook of Brain Theory and Neural Networks, ed. Arbib, M, Boston: MIT Press

Rosenblatt, F. (1961) 'Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms' Washington D.C.: Spartan

Rumelhart, D.E., Hinton, G.E., and Williams, R.J. (1986), Learning internal representations by error propagation", in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1, eds. Rumelhart, D.E. and McClelland, J. L., 318-362, Cambridge, MA: The MIT Press.

Sun, R. (1995), Robust Reasoning: integrating rule-based and similarity based reasoning, Artificial Intelligence, 75, 2, 241-296.

Sun, R. and Peterson, T. (1997), A Hybrid Model for Learning Sequential Navigation, Proceedings of IEEE CIRA

Tanaka, K., (1993), Neuronal Mechanisms of Object Recognition, Science, 262, 685-88.

Taylor, J.G. and Alavi, F.N., (1993), 'Mathematical Analysis of a Competitive Network for Attention' in Mathematical Approaches to Neural Networks ed. J.G. Taylor (Elsevier)..


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