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A. Sklar [4]Asael Y. Sklar [1]
  1.  11
    Did you see it? Robust individual differences in the speed with which meaningful visual stimuli break suppression.Asael Y. Sklar, Ariel Y. Goldstein, Yaniv Abir, Alon Goldstein, Ron Dotsch, Alexander Todorov & Ran R. Hassin - 2021 - Cognition 211 (C):104638.
    Perceptual conscious experiences result from non-conscious processes that precede them. We document a new characteristic of the cognitive system: the speed with which visual meaningful stimuli are prioritized to consciousness over competing noise in visual masking paradigms. In ten experiments (N = 399) we find that an individual's non-conscious visual prioritization speed (NVPS) is ubiquitous across a wide variety of stimuli, and generalizes across visual masks, suppression tasks, and time. We also find that variation in NVPS is unique, in that (...)
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  2.  25
    The Axiomatic Characterization of Functions.B. Schweizer & A. Sklar - 1977 - Mathematical Logic Quarterly 23 (25-26):373-382.
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  3.  8
    The Axiomatic Characterization of Functions.B. Schweizer & A. Sklar - 1976 - Mathematical Logic Quarterly 23 (25‐26):373-382.
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  4.  28
    The baker's transformation is not embeddable.B. Schweizer & A. Sklar - 1990 - Foundations of Physics 20 (7):873-879.
    The baker's transformation is one of the earliest and simplest examples of a bijective mixing transformation. By determining its cycle structure, we show that this transformation is not embeddable in any flow, i.e., one-parameter semigroup, on the nonnegative rationals and,a fortiori, not emdeddable in any flow on the reals.
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  5.  41
    Probability distributions with given margins: Note on a paper by Finch and Groblicki. [REVIEW]B. Schweizer & A. Sklar - 1986 - Foundations of Physics 16 (10):1061-1064.
    Recently, P. D. Finch and R. Groblicki determined all bivariate probability densities with specified margins. We point out that their result follows immediately from the complete solution to the problem of determining all n-dimensional cumulative probability distribution functions with specified one-dimensional margins, which was solved by one of us in 1959.
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