Abstract
The binding problem in neurobiology and the synchronization problem in distributed systems address a fundamental question, namely how can a collection of computational units interact so as to produce a stable response to environmental stimuli. It is proposed that the synchronization of responses of a complex system to a transient stimulus, socalled transient synchronization, provides a solution to this problem. Evidence is presented from studies involving inhomogeneous, asynchronous, adaptive cellular automata in support of this contention. In the transient synchronization approach, information is encoded as a distribution of response patterns in a global pattern space. The activation of such information requires a dynamic interaction between the system and its environment. Information is implicit rather than explicit. This permits a several orders of magnitude improvement in storage capacity over current models.
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Sulis, W. (1995). Driven cellular automata, adaptation and the binding problem. In: Morán, F., Moreno, A., Merelo, J.J., Chacón, P. (eds) Advances in Artificial Life. ECAL 1995. Lecture Notes in Computer Science, vol 929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59496-5_346
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DOI: https://doi.org/10.1007/3-540-59496-5_346
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