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 Concept Videos

How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

36.6K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.6K

You might also read

Related Articles

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

Sort by
Same author

Neural correlates of innate preference for upward motion.

iScience·2026
Same author

Exploring the Neural Substrates of Number Sense: A Perspective on Genetics, Behaviour and Neural Circuity.

The European journal of neuroscience·2026
Same author

Stimuli that fit: a biology-aligned approach to numerical cognition research.

Proceedings. Biological sciences·2026
Same author

Editorial: Processing of face and other animacy cues in the brain.

Frontiers in psychology·2026
Same author

Bouba-kiki, baby chicks, and the structure of experience.

Journal of experimental psychology. Animal learning and cognition·2026
Same author

Antlion larvae follow optimality rules in body orientation during sand tossing.

The Journal of experimental biology·2026
Same journal

Topological skeleton analysis for network-based shape representation in biology and beyond.

iScience·2026
Same journal

Condition-specific neural signatures of reactivation during post-retrieval rest: An EEG study.

iScience·2026
Same journal

Multi-chaotic signal identification employing a causal cross-correlation neural network.

iScience·2026
Same journal

Repeated insertions at positions 261-280 in KPC-2 highlight a ceftazidime-avibactam resistance hotspot.

iScience·2026
Same journal

ROS inhibits microtubule dynamics and cell growth heterogeneity during Arabidopsis sepal morphogenesis.

iScience·2026
Same journal

Type 1 diabetes alters early macrophage-<i>Mycobacterium tuberculosis</i> transcriptional coordination during infection.

iScience·2026
See all related articles

Related Experiment Video

Updated: Jan 14, 2026

Caenorhabditis Sieve: A Low-tech Instrument and Methodology for Sorting Small Multicellular Organisms
04:39

Caenorhabditis Sieve: A Low-tech Instrument and Methodology for Sorting Small Multicellular Organisms

Published on: July 4, 2018

6.7K

Numerical discrimination in Danionella.

Mirko Zanon1,2, Scott E Fraser2,3,4, Giorgio Vallortigara1

  • 1Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy.

Iscience
|October 27, 2025
PubMed
Summary
This summary is machine-generated.

The transparent fish Danionella cerebrum demonstrates quantity discrimination abilities. This finding expands understanding of fish cognition and supports its use in neuroscience research.

Keywords:
Cognitive neuroscienceNeuroscienceTechniques in neuroscience

More Related Videos

Author Spotlight: Assessment of Environmental and Drug-Induced Behavioral Changes in Adult Zebrafish
08:36

Author Spotlight: Assessment of Environmental and Drug-Induced Behavioral Changes in Adult Zebrafish

Published on: November 3, 2023

2.3K
An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K

Related Experiment Videos

Last Updated: Jan 14, 2026

Caenorhabditis Sieve: A Low-tech Instrument and Methodology for Sorting Small Multicellular Organisms
04:39

Caenorhabditis Sieve: A Low-tech Instrument and Methodology for Sorting Small Multicellular Organisms

Published on: July 4, 2018

6.7K
Author Spotlight: Assessment of Environmental and Drug-Induced Behavioral Changes in Adult Zebrafish
08:36

Author Spotlight: Assessment of Environmental and Drug-Induced Behavioral Changes in Adult Zebrafish

Published on: November 3, 2023

2.3K
An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K

Area of Science:

  • Neuroscience
  • Animal Cognition
  • Ichthyology

Background:

  • Danionella cerebrum, a transparent teleost, is valuable for neuroscience due to its small size, cranial transparency, and simple brain.
  • Its cognitive abilities, however, are not well understood.

Purpose of the Study:

  • To investigate the quantity discrimination capabilities of Danionella cerebrum.
  • To assess if Danionella cerebrum can distinguish between different numerical quantities.

Main Methods:

  • A habituation/dishabituation paradigm was employed over six trials across five days.
  • Fish were exposed to dot arrays with constant numerosity, while visual properties were varied.
  • Numerical discrimination was tested by presenting a novel numerosity in the final trial.

Main Results:

  • Danionella cerebrum exhibited significant dishabituation when presented with a different numerosity.
  • Fish spent more time near the stimulus with altered numerical information, indicating quantity discrimination between 3 and 9 elements.

Conclusions:

  • Danionella cerebrum possesses the ability to discriminate between quantities.
  • These findings enhance the understanding of Danionella cerebrum's cognitive functions.
  • This supports its broader application in high-resolution research on the neural basis of cognition.