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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References
Aertsen, Ad., Arndt, M. Curr. Opin. Neurobiol. 3 (1993) 586–594
Cairns, D.E., Baddeley, R.J., Smith. L.S. Neural Comp. 5(2) (1993) 260–266
Casdagli, M. In Nonlinear Modeling and Forecasting. Casdagli, M., Eubank, S. eds. (1992) 265–281 New York: Addison-Wesley
Grannan, E.R., Kleinfeld, D., Sompolinsky, H. Neural Comp. 5(4) (1993) 550–569
Koch, C., Schuster, H. Neural Comp. 4(2) (1992) 211–223
Millonas, M. Santa Fe Institute Preprint. 93-06-039 (1993)
Shadlen, M.N., Newsome, W.T. Curr. Opin. Neurobiol. 4 (1994) 569–579
Singer, W. Ann. Rev. Physiol. 55 (1993) 349–374
Softky, W.R., Koch, C. Neural Comp. 4(5) (1992) 643–646
Softky, W., Koch, C. J. Neurosci. 13 (1993) 334–350
Softky, W. Physics Today. 47(12) (1994) 11–13
Sulis, W.: Tempered Neural Networks. In Proceedings of the International Joint Conference on Neural Networks '92. Vol. III (1992) 421–427 Baltimore: IEEE
Sulis, W.: Emergent Computation in Tempered Neural Networks 1: Dynamical Automta. In Proceedings of the World Congress on Neural Networks '93. Vol. IV (1993) 448–451 New York: Lawrence Erlbaum
Sulis, W.: Emergent Computation in Tempered Neural Networks 2: Computation Theory. In Proceedings of the World Congress on Neural Networks '93. Vol. IV (1993) 452–455 New York: Lawrence Erlbaum
Sulis, W.: Computation in Complex Systems (unpublished manuscript)
Sulis, W.: Driven Cellular Automata. In 1993 Lectures in Complex Systems, Santa Fe Institute. Stein, D., Nadel, L. eds. (1995) New York: Addison-Wesley (In Press)
Sulis, W. World Futures. 39 (1994) 225–241
Sulis, W. (Unpublished data)
Theiler, J. et. al. Physica D. 58 (1992) 77–94
Tsuda, I. Neural Networks. 5(2) (1992) 313–326
Usher, M., Schuster, H.G., Neibur, E. Neural Comp. 5(4) (1993) 570–586
Young, K., Crutchfield, J.P. Santa Fe Institute Preprint. 93-05-028 (1993)
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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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