Driven Cellular Automata, Adaptation and the Binding Problem

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.

[1]  William Softky.  Might Neuronal Spikes Permit a Binary Brain , 1994 .

[2]  William Sulis.  Tempered neural networks , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[3]  W. Sulis.  Naturally occurring computational systems , 1994 .

[4]  William R. Softky,et al.  The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  Marius Usher,et al.  Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory , 1993, Neural Computation.

[6]  Leslie S. Smith,et al.  Constraints on Synchronizing Oscillator Networks , 1993, Neural Computation.

[7]  Martin Casdagli,et al.  Nonlinear Modeling And Forecasting , 1992 .

[8]  Ichiro Tsuda,et al.  Dynamic link of memory--Chaotic memory map in nonequilibrium neural networks , 1992, Neural Networks.

[9]  Christof Koch,et al.  A Simple Network Showing Burst Synchronization without Frequency Locking , 1992, Neural Computation.

[10]  Christof Koch,et al.  Cortical Cells Should Fire Regularly, But Do Not , 1999, Neural Computation.

[11]  W. Singer.  Synchronization of cortical activity and its putative role in information processing and learning. , 1993, Annual review of physiology.

[12]  A. Aertsen,et al.  Response synchronization in the visual cortex , 1993, Current Opinion in Neurobiology.

[13]  Michael N. Shadlen,et al.  Noise, neural codes and cortical organization , 1994, Current Opinion in Neurobiology.

[14]  Haim Sompolinsky,et al.  Stimulus-Dependent Synchronization of Neuronal Assemblies , 1993, Neural Computation.