Sentence examples for multiple cone classes from inspiring English sources

However, the selective pressures that have driven the evolution of multiple cone classes remain largely obscure.

Two competing theories have been advanced to explain the evolution of multiple cone classes in vertebrate eyes.

However, the need to maximize contrast between diverse objects and backgrounds of varying brightness and spectral characteristics was suggested to favor the appearance of multiple cone classes.

The 'contrast theory' proposes that multiple cone classes evolved in shallow-water fish to maximize the visual contrast of objects against diverse backgrounds.

By contrast, using multiple cone classes to eliminate the light flicker would have favored cone classes whose peak sensitivities are the closest possible to each other.

The competing 'flicker theory' states that multiple cone classes evolved to eliminate the light flicker inherent in shallow-water environments through antagonistic neural interactions, thereby enhancing object detection.

We were primarily interested in evaluating the number of cone classes contributing to spectral sensitivity and their corresponding visual pigments, but we also used multiple-mechanism modeling to understand the opponent and nonopponent cone interactions at play that can shape the spectral tuning of cone mechanisms.

A maximum of five different cone classes were present in 41% of fish, four different cone classes were present in 56% of fish, and three different cone classes were present in only 3% of the fish (one individual) (Table 1).

We also artificially adjusted the dynamic range of cones such that the variation in cone output over time was similar for all cone classes, but now, equaled to that of the Rh2a cone that exhibited the smallest variation.

To test this possibility, we artificially adjusted the dynamic range of cones so that the variation over time in cone output was similar for all cone classes and equaled that of the SWS1 cone that exhibited the largest variation.

Comparison of the outputs of different cone classes enables color vision.