DocumentCode
3496646
Title
The temporality of consciousness: Computational principles of a single information integration-propagation process (I2 P2 )
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
Link To Document