From infancy on, we are extraordinarily sensitive to patterns of evidence (in fact, that's how we acquire many of our beliefs about physics and biology), so it seems reasonable to think that evidence also determines our judgments about fantastical beings.
Our findings bear on the methodological decisions made in research that relies on auditory coding, drawing particular attention to the challenge of designing a method sensitive to patterns of variability and social meaning that are potentially both universal and community-specific.
Entropy, signal-to-noise, and covariance variables were, thus, assessed since they quantify the characteristics of response pattern (e.g. the extent of irregularity/heterogeneity [64] [66]) produced by underlying behavioral microvariables, and would therefore be more sensitive to patterns in approach and avoidance.
Based on this isotropic symmetry operator, Reisfeld et al. [ 65] also developed a radial symmetry operator that is extra sensitive to patterns containing multiple axes of symmetry.
However, these researchers did not compare their measured arrangements with noisy, nonregular lattice patterns as we have done and do not show that their analysis is sensitive to patterns that show only quasi-regular spatial structure.
Our experiments reveal no significant difference among the three symmetry models, whereas we expected the radial symmetry model to perform better since humans are also more sensitive to patterns with multiple axes of symmetry.
A single-cell sensor can signal the presence or intensity of an environmental feature such as light but sensor arrays enable organisms to become sensitive to patterns across extended surface arrays (Gibson 1966; Braitenberg 1984).
Parabolic rooted slope is more sensitive to rainfall pattern than bare one.
The results demonstrate that most of the metrics are sensitive to certain pattern scenarios, yet are not sensitive to others; therefore, none of them is appropriate for all aspects of a landscape pattern.
