Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Biases in signal evolution: learning makes a difference.

Carel ten Cate1, Candy Rowe

  • 1Behavioural Biology, Institute of Biology, Leiden University, PO Box 9516, 2300 RA Leiden, The Netherlands. c.j.ten.cate@biology.leidenuniv.nl

Trends in Ecology & Evolution
|March 24, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stimulus-dependent emergence of understanding the 'same-different' concept in budgerigars.

Proceedings. Biological sciences·2024
Same author

Auditory discrimination learning and acoustic cue weighing in female zebra finches with localized FoxP1 knockdowns.

Journal of neurophysiology·2024
Same author

The evolution and ecology of multiple antipredator defences.

Journal of evolutionary biology·2023
Same author

Zebra finches (Taeniopygia guttata) demonstrate cognitive flexibility in using phonology and sequence of syllables in auditory discrimination.

Animal cognition·2023
Same author

Effects of Cortical FoxP1 Knockdowns on Learned Song Preference in Female Zebra Finches.

eNeuro·2023
Same author

A synthesis of deimatic behaviour.

Biological reviews of the Cambridge Philosophical Society·2022
Same journal

The emerging field of wild animal welfare science.

Trends in ecology & evolution·2026
Same journal

Integrating nutritional mutualists into the evolution of defense.

Trends in ecology & evolution·2026
Same journal

Formation of three great Asian plateaus, climate change, and biodiversity: (Trends Ecol. Evol. 40, 970-982; 2025).

Trends in ecology & evolution·2026
Same journal

Digital twins as a tool for ecosystem research.

Trends in ecology & evolution·2026
Same journal

Constraint and convergence in the evolution of vertebrate sound production.

Trends in ecology & evolution·2026
Same journal

Is a comprehensive root economics space a chimera?

Trends in ecology & evolution·2026
See all related articles

Receiver biases in animal communication significantly impact signal evolution. This study explores how learning, not just sensory systems, creates these biases, influencing signal design and evolutionary trajectories.

Area of Science:

  • Evolutionary biology
  • Animal behavior
  • Communication systems

Background:

  • Signal receivers play a crucial role in animal communication evolution.
  • Receiver biases, stemming from sensory and cognitive processes, significantly impact signal design.
  • Existing research primarily focuses on sensory-based receiver biases.

Purpose of the Study:

  • To highlight the emergence of learning-based receiver biases.
  • To differentiate learning-based biases from sensory-based biases.
  • To understand the impact of learning-based biases on signal evolution.

Main Methods:

  • Review of existing literature on receiver biases.
  • Analysis of theoretical frameworks for learning in animal communication.

Related Experiment Videos

  • Comparative study of sensory versus learning-based bias mechanisms.

    • Main Results:

    • Receiver biases can arise from both sensory perception and learned associations.
    • Learning-based biases offer a distinct pathway for signal evolution compared to sensory biases.
    • The cognitive processes involved in learning shape behavioral responses to signals.

    Conclusions:

    • Learning-based receiver biases are a significant, yet understudied, factor in animal communication evolution.
    • Understanding learning biases provides new insights into the diversity of signal evolution.
    • Future research should explore the interplay between sensory and learning biases in shaping communication systems.