鸽子是复杂视觉处理和类别学习的模型。

IF 2.9 Q2 NEUROSCIENCES
Neuroscience Insights Pub Date : 2024-02-28 eCollection Date: 2024-01-01 DOI:10.1177/26331055241235918
Edward A Wasserman, Brandon M Turner, Onur Güntürkün
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引用次数: 0

摘要

在过去的 30 年中,行为学、计算学和神经科学研究对鸽子如何适应复杂多样的视觉世界有了新的认识。人们最感兴趣的领域是鸽子如何对它们遇到的无数个体刺激进行分类。大多数研究要么涉及真实物体的逼真再现,因此具有自然性的优点,要么涉及高度人工化的刺激物,因此具有可实验操作的优点。这些研究共同揭示了鸽子对自然和人工视觉刺激的惊人分类能力。在每种情况下,新的计算模型都表明,初级联想学习是鸽子分类学习和泛化的根源。此外,正在进行的计算和神经科学研究表明,自然刺激和人工刺激是如何通过鸽子的视觉通路进行处理的。鉴于鸽子的可用性和可负担性,这种动物模型有充分的理由在当代神经科学研究中占据越来越重要的地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Pigeon as a Model of Complex Visual Processing and Category Learning.

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.

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来源期刊
Neuroscience Insights
Neuroscience Insights Neuroscience-Neuroscience (all)
CiteScore
6.10
自引率
0.00%
发文量
24
审稿时长
9 weeks
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