<commit_before>---
layout: post
title: "Model details"
date: 2018-01-06
author: <NAME>
---

A excellent recent review of the particulars of visual modelling is now complemented by six commentaries, and all are well worth a read.

[Olsson et al. (2017) Chromatic and achromatic vision: parameter choice and limitations for reliable model predictions](https://doi.org/10.1093/beheco/arx133)  
>"Many animals use vision to detect, discriminate, or recognize important objects such as prey, predators, homes, or mates. These objects may differ in color and brightness—having chromatic and achromatic contrast to the background or to other objects. Visual models are powerful tools to investigate contrast detection, but need to be calibrated by experimental data to provide robust predictions. The most critical parameter of current models—receptor noise—is usually estimated from a small number of behavioral tests on chromatic contrast thresholds, while equivalent tests of achromatic thresholds in a wide range of animals have often been ignored. We suggest that both chromatic and achromatic contrasts in studies of visual ecology should be examined using calibrated model parameters, and we provide a compilation of what is currently known on visual thresholds and corresponding noise estimates. Besides the need for careful parameter estimation, we discuss how the robustness of model predictions depends on assumptions about overall light intensity, background color and brightness, object size, and behavioral context."

And the comments:
- [Color discrimination is not just limited by photoreceptor noise](https://doi.org/10.1093/beheco/arx157)
- [Principles and application of the receptor noise model of color discrimination](https://doi.org/10.1093/beheco/arx153)
- [Opening the “black box” of modeling animal color vision](https://doi.org/10.1093/beheco/arx154)
- [Receptor noise models: time to consider alternatives?](https://doi.org/10.1093/beheco/arx155)
- [Do not be distracted by pretty colors](https://doi.org/10.1093/beheco/arx164)
- [Models for a colourful reality? a response to comments](https://doi.org/10.1093/beheco/arx186)<commit_msg>things<commit_after>---
layout: post
title: "Model details"
date: 2018-01-06
author: <NAME>
---

A excellent recent review of the particulars of visual modelling is now complemented by six commentaries, and all are well worth a read.

[Olsson et al. (2017) Chromatic and achromatic vision: parameter choice and limitations for reliable model predictions](https://doi.org/10.1093/beheco/arx133)  
>_"Many animals use vision to detect, discriminate, or recognize important objects such as prey, predators, homes, or mates. These objects may differ in color and brightness—having chromatic and achromatic contrast to the background or to other objects. Visual models are powerful tools to investigate contrast detection, but need to be calibrated by experimental data to provide robust predictions. The most critical parameter of current models—receptor noise—is usually estimated from a small number of behavioral tests on chromatic contrast thresholds, while equivalent tests of achromatic thresholds in a wide range of animals have often been ignored. We suggest that both chromatic and achromatic contrasts in studies of visual ecology should be examined using calibrated model parameters, and we provide a compilation of what is currently known on visual thresholds and corresponding noise estimates. Besides the need for careful parameter estimation, we discuss how the robustness of model predictions depends on assumptions about overall light intensity, background color and brightness, object size, and behavioral context."_

And the comments:
- [Color discrimination is not just limited by photoreceptor noise](https://doi.org/10.1093/beheco/arx157)
- [Principles and application of the receptor noise model of color discrimination](https://doi.org/10.1093/beheco/arx153)
- [Opening the “black box” of modeling animal color vision](https://doi.org/10.1093/beheco/arx154)
- [Receptor noise models: time to consider alternatives?](https://doi.org/10.1093/beheco/arx155)
- [Do not be distracted by pretty colors](https://doi.org/10.1093/beheco/arx164)
- [Models for a colourful reality? a response to comments](https://doi.org/10.1093/beheco/arx186)
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