Motivated by a percolation analysis of neural conduction, we write a scaling form for the expected length of the shortest path between two sites in the infinite cluster. ψ is the fractal dimension of this path over distances small compared to a correlation length. Over long distances, path "tortuosity" and effective conduction velocity scale with a new critical exponent θ. The scaling argument provides the first analytic expression for an effective velocity in a "first passage" percolation problem.
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Ritzenberg et al. (1984) studied this question.
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