Chromatic and achromatic vision: parameter choice and limitations for reliable model predictions

By P. Olsson, O. Lind, A. Kelber. 2018

175 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1079771d39ebf956caa08aefa3db2d06135387d7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Rafael Maia
2. John A. Endler
3. T. White

In Ecology, Evolution, Behavior and Systematics

1. Rafael Maia
2. T. White
3. H. Gruson
4. John A. Endler
5. Thomas W. Pike

In Global and Planetary Change

1. Rafael Maia
2. T. White

Citations in the corpus

• Comparing colors using visual models (2018, methodology): “More broadly, we affirm recent (and ongoing) calls for pragmatism when drawing inferences from any such model (Marshall 2018; Olsson et al. 2018; Vasas et al. 2018).”
• pavo 2.0: new tools for the spectral and spatial analysis of colour in R (2018, background): “1 for both chromatic and achromatic receptors, and assume that noise is proportional to the Weber fraction and independent of the magnitude of receptor stimulation (reviewed in Kelber et al. ( 2003 ); Olsson et al. ( 2017 )).”