Effects on VLSI Yield of Doubly-Stochastic Impurity Distributions

Prucnal, Paul R.; Card, H.C.

doi:10.1109/tr.1982.5221294

Cited by 2 publications

(1 citation statement)

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“…If the rate itself is a random process, then the expectation described above is sometimes, but not always [23], difficult to evaluate for arbitrary values of T, and this case will not be considered further here [11], [24, p. 287]. On the other hand, if the rate is deterministic, and / 0 or Γ is a random variable, the expectation described above is generally straightforward to evaluate with respect to the statistics of t 0 or Τ [25]- [27].…”

Section: Theorymentioning

confidence: 99%

Refractory effects in neural counting processes with exponentially decaying rates

Prucnal

Teich

1983

IEEE Trans. Syst., Man, Cybern.

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spectra. Thus, energy distribution of the light source would have to be defined and equated to absorption spectra of the photore ceptors. Laplacian transforms would be extremely complex and would need considerable simplification before being solvable. We have assumed that the stimulus was uniformly distributed over the retina and was stationary; for nonuniform spatial organiza tions and moving stimuli, mathematical analysis would be ex tremely complex, if not impossible, and we still have gotten past the photoreceptors. If other features such as stray light, electrical coupling of cones, and HCs and possibly ACs, as well as negative feedback are added, problems are further compounded, which leads one to the conclusion that analog modeling, even though it requires considerable development of hardware, nevertheless, in the long run, affords an accessible method for modeling a realistic retina. ACKNOWLEDGMENT

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Section: Theorymentioning

confidence: 99%