Evidence map›Paper›PMID 38425669›Full record

ArticleNeuroscience insights2024

The Pigeon as a Model of Complex Visual Processing and Category Learning.

Edward A Wasserman, Brandon M Turner, Onur Güntürkün

Abstract readComment
In one paragraph

Article in Neuroscience insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Edward A WassermanDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-9993-8108
Brandon M TurnerDepartment of Psychology, The Ohio State University, Columbus, OH, USA.
Onur GüntürkünBiopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.

Funding

ONTOGENESIS OF CATEGORIZATION: LINKING DEVELOPMENT, MECHANISMS, AND BIOLOGYP01HD080679 · NICHD · OHIO STATE UNIVERSITY · PI LOVE, BRADLEY C · 2016 to 2020
$5.8M
NICHD NIH HHS P01 HD080679
6 · The paper itself

Abstract

Over the past 30 years, behavioral, computational, and neuroscientific investigations have yielded fresh insights into how pigeons adapt to the diverse complexities of their visual world. A prime area of interest has been how pigeons categorize the innumerable individual stimuli they encounter. Most studies involve either photorealistic representations of actual objects thus affording the virtue of being naturalistic, or highly artificial stimuli thus affording the virtue of being experimentally manipulable. Together those studies have revealed the pigeon to be a prodigious classifier of both naturalistic and artificial visual stimuli. In each case, new computational models suggest that elementary associative learning lies at the root of the pigeon's category learning and generalization. In addition, ongoing computational and neuroscientific investigations suggest how naturalistic and artificial stimuli may be processed along the pigeon's visual pathway. Given the pigeon's availability and affordability, there are compelling reasons for this animal model to gain increasing prominence in contemporary neuroscientific research.

Indexed as

categorizationgeneralizationlearningneuroevolutionpigeonVision

Identifiers

PMID38425669
PMCPMC10903219

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.