• DocumentCode
    3496646
  • Title

    The temporality of consciousness: Computational principles of a single information integration-propagation process (I2P2)

  • Author

    Jean-Christophe, Sarrazin ; Vanessa, Gonzalez ; Bruno, Berberian ; Arnaud, Tonnelier

  • Author_Institution
    Office Nat. d´´Etudes et de Rech. Aerospatiales (the French Aerosp. Lab.), France
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    1748
  • Lastpage
    1752
  • Abstract
    Time plays a central role in consciousness. A crucial question is the following: Why Consciousness takes time? We suggest the contents of consciousness could emerge as the result of global competition biased by top-down (intentional) modulation, which implements global constraint satisfaction. In our simplified conceptual framework, the information integration and the consciousness are not implemented by separate processes but are unified through the idea that a network arrives at an interpretation of the input by converging towards a dynamical state, i.e. a recurring pattern related to the existence of a stable travelling wave. The synfire propagation can be recasted in this framework as a particular instance of conscious computation where (i) the network has a specialized topology (a chain of connected pools) and (ii) the sequence of spikes converge towards a synchronous spike volley. The framework we suggest has interesting connections with the neural processing proposed by Hopfield (1982) where the computation is achieved through the convergence of the dynamical system describing the neural network towards a fixed point. Here the attractors are correlated activities (or spatiotemporal periodic travelling waves) and the idea of associative memory can be generalized in this context.
  • Keywords
    neural nets; associative memory; conceptual framework; consciousness; dynamical system; global constraint satisfaction; neural network; neural processing; single information integration-propagation process; spatiotemporal periodic travelling waves; stable travelling wave; synchronous spike volley; synfire propagation; top-down modulation; Biological neural networks; Computational modeling; Delay; Neurons; Neuroscience; Presses; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033435
  • Filename
    6033435