Understanding how neural responses contribute to the diversity of avian colour vision

Trevor D. Price, Mary Caswell Stoddard, Steven K. Shevell, Natasha I. Bloch

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

The past 20 years have seen a surge of interest in how animals perceive colour, setting the stage for a much more detailed examination of how colour perception differs among species, how a species’ colour perception relates to its environment and how it all fits into the framework of animal communication. We need to address two major questions: first, how do general mechanisms of signal processing work within whole clades of animals, and second, how do these mechanisms modulate differences among related species within clades? The receptor noise-limited (RNL) model (Vorobyev & Osorio, 1998) has made a critical advance in the field. Relevant parameters of the model, including screening pigments in the eye, visual pigments and relative numbers of the different receptor cells, can be measured to predict how species detect objects in their environment, based on wavelength. Details of the opponent channels, however, which compare the outputs of the retinal receptors and can determine the signals sent to the brain, are unknown for most species and are not required by the model. Here, we unpack the RNL model, focusing on experiments in humans and birds, and explore the impact of including specific opponent channels in the model. Incorporating opponent channels into the RNL model could help us better understand the selective forces and coevolutionary processes that shape the visual system and determine visual adaptations. Present evidence shows that the RNL model works as a good first approximation and points to critical parameters we need to measure, such as noise in receptor cells.

Original languageEnglish (US)
Pages (from-to)297-305
Number of pages9
JournalAnimal Behaviour
Volume155
DOIs
StatePublished - Sep 1 2019

Fingerprint

color vision
receptors
pigment
color
animal
pigments
signal processing
animal communication
wavelengths
brain
animals
eyes
communication
cells
screening
bird
wavelength
birds

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Animal Science and Zoology

Cite this

Price, Trevor D. ; Stoddard, Mary Caswell ; Shevell, Steven K. ; Bloch, Natasha I. / Understanding how neural responses contribute to the diversity of avian colour vision. In: Animal Behaviour. 2019 ; Vol. 155. pp. 297-305.
@article{b0ec0414dc52406182a0593e5e04fc07,
title = "Understanding how neural responses contribute to the diversity of avian colour vision",
abstract = "The past 20 years have seen a surge of interest in how animals perceive colour, setting the stage for a much more detailed examination of how colour perception differs among species, how a species’ colour perception relates to its environment and how it all fits into the framework of animal communication. We need to address two major questions: first, how do general mechanisms of signal processing work within whole clades of animals, and second, how do these mechanisms modulate differences among related species within clades? The receptor noise-limited (RNL) model (Vorobyev & Osorio, 1998) has made a critical advance in the field. Relevant parameters of the model, including screening pigments in the eye, visual pigments and relative numbers of the different receptor cells, can be measured to predict how species detect objects in their environment, based on wavelength. Details of the opponent channels, however, which compare the outputs of the retinal receptors and can determine the signals sent to the brain, are unknown for most species and are not required by the model. Here, we unpack the RNL model, focusing on experiments in humans and birds, and explore the impact of including specific opponent channels in the model. Incorporating opponent channels into the RNL model could help us better understand the selective forces and coevolutionary processes that shape the visual system and determine visual adaptations. Present evidence shows that the RNL model works as a good first approximation and points to critical parameters we need to measure, such as noise in receptor cells.",
author = "Price, {Trevor D.} and Stoddard, {Mary Caswell} and Shevell, {Steven K.} and Bloch, {Natasha I.}",
year = "2019",
month = "9",
day = "1",
doi = "10.1016/j.anbehav.2019.05.009",
language = "English (US)",
volume = "155",
pages = "297--305",
journal = "Animal Behaviour",
issn = "0003-3472",
publisher = "Academic Press Inc.",

}

Understanding how neural responses contribute to the diversity of avian colour vision. / Price, Trevor D.; Stoddard, Mary Caswell; Shevell, Steven K.; Bloch, Natasha I.

In: Animal Behaviour, Vol. 155, 01.09.2019, p. 297-305.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Understanding how neural responses contribute to the diversity of avian colour vision

AU - Price, Trevor D.

AU - Stoddard, Mary Caswell

AU - Shevell, Steven K.

AU - Bloch, Natasha I.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - The past 20 years have seen a surge of interest in how animals perceive colour, setting the stage for a much more detailed examination of how colour perception differs among species, how a species’ colour perception relates to its environment and how it all fits into the framework of animal communication. We need to address two major questions: first, how do general mechanisms of signal processing work within whole clades of animals, and second, how do these mechanisms modulate differences among related species within clades? The receptor noise-limited (RNL) model (Vorobyev & Osorio, 1998) has made a critical advance in the field. Relevant parameters of the model, including screening pigments in the eye, visual pigments and relative numbers of the different receptor cells, can be measured to predict how species detect objects in their environment, based on wavelength. Details of the opponent channels, however, which compare the outputs of the retinal receptors and can determine the signals sent to the brain, are unknown for most species and are not required by the model. Here, we unpack the RNL model, focusing on experiments in humans and birds, and explore the impact of including specific opponent channels in the model. Incorporating opponent channels into the RNL model could help us better understand the selective forces and coevolutionary processes that shape the visual system and determine visual adaptations. Present evidence shows that the RNL model works as a good first approximation and points to critical parameters we need to measure, such as noise in receptor cells.

AB - The past 20 years have seen a surge of interest in how animals perceive colour, setting the stage for a much more detailed examination of how colour perception differs among species, how a species’ colour perception relates to its environment and how it all fits into the framework of animal communication. We need to address two major questions: first, how do general mechanisms of signal processing work within whole clades of animals, and second, how do these mechanisms modulate differences among related species within clades? The receptor noise-limited (RNL) model (Vorobyev & Osorio, 1998) has made a critical advance in the field. Relevant parameters of the model, including screening pigments in the eye, visual pigments and relative numbers of the different receptor cells, can be measured to predict how species detect objects in their environment, based on wavelength. Details of the opponent channels, however, which compare the outputs of the retinal receptors and can determine the signals sent to the brain, are unknown for most species and are not required by the model. Here, we unpack the RNL model, focusing on experiments in humans and birds, and explore the impact of including specific opponent channels in the model. Incorporating opponent channels into the RNL model could help us better understand the selective forces and coevolutionary processes that shape the visual system and determine visual adaptations. Present evidence shows that the RNL model works as a good first approximation and points to critical parameters we need to measure, such as noise in receptor cells.

UR - http://www.scopus.com/inward/record.url?scp=85067279010&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067279010&partnerID=8YFLogxK

U2 - 10.1016/j.anbehav.2019.05.009

DO - 10.1016/j.anbehav.2019.05.009

M3 - Review article

VL - 155

SP - 297

EP - 305

JO - Animal Behaviour

JF - Animal Behaviour

SN - 0003-3472

ER -