A century of generalization

新颖性 心理学 刺激(心理学) 一般化 刺激泛化 认知心理学 刺激 神经科学 沟通 社会心理学 感知 数学 数学分析
作者
Stefano Ghirlanda,Magnus Enquist
出处
期刊:Animal Behaviour [Elsevier]
卷期号:66 (1): 15-36 被引量:384
标识
DOI:10.1006/anbe.2003.2174
摘要

We review data from both ethology and psychology about generalization, that is how animals respond to sets of stimuli including familiar and novel stimuli. Our main conclusion is that patterns of generalization are largely independent of systematic group (evidence is available for insects, fish, amphibians, reptiles, birds and mammals, including humans), behavioural context (feeding, drinking, courting, etc.), sensory modality (light, sound, etc.) and of whether reaction to stimuli is learned or genetically inherited. These universalities suggest that generalization originates from general properties of nervous systems, and that evolutionary strategies to cope with novelty and variability in stimulation may be limited. Two major shapes of the generalization gradient can be identified, corresponding to two types of stimulus dimensions. When changes in stimulation involve a rearrangement of a constant amount of stimulation on the sense organs, the generalization gradient peaks close to familiar stimuli, and peak responding is not much higher than responding to familiar stimuli. Contrary to what is often claimed, such gradients are better described by Gaussian curves than by exponentials. When the stimulus dimension involves a variation in the intensity of stimulation, the gradient is often monotonic, and responding to some novel stimuli is considerably stronger than responding to familiar stimuli. Lastly, when several or many familiar stimuli are close to each other predictable biases in responding occur, along all studied dimensions. We do not find differences between biases referred to as peak shift and biases referred to as supernormal stimulation. We conclude by discussing theoretical issues.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DroptheBlazo发布了新的文献求助30
刚刚
闫伊森发布了新的文献求助20
刚刚
susu发布了新的文献求助10
刚刚
乐观绿海发布了新的文献求助10
刚刚
熙熙发布了新的文献求助10
5秒前
可乐不加冰完成签到,获得积分10
10秒前
11秒前
Gy完成签到,获得积分10
12秒前
12秒前
城南饭饭发布了新的文献求助30
12秒前
Gy发布了新的文献求助30
15秒前
爱鱼人士应助熙熙采纳,获得10
16秒前
Akim应助温水云采纳,获得10
17秒前
17秒前
221发布了新的文献求助10
21秒前
21秒前
拉格朗日发布了新的文献求助10
24秒前
25秒前
Hao应助小福星采纳,获得10
25秒前
25秒前
舒适思烟发布了新的文献求助10
26秒前
27秒前
尹冰之完成签到,获得积分10
27秒前
29秒前
29秒前
温水云发布了新的文献求助10
30秒前
李健应助无助采纳,获得10
31秒前
yoyo发布了新的文献求助10
32秒前
香蕉觅云应助隐形芹采纳,获得10
32秒前
小布发布了新的文献求助10
32秒前
爱鱼人士应助JcZuk采纳,获得10
33秒前
33秒前
susu完成签到,获得积分10
34秒前
jinghai发布了新的文献求助10
34秒前
城南饭饭完成签到,获得积分10
34秒前
无奈梦岚发布了新的文献求助10
34秒前
Owen应助柔之采纳,获得10
38秒前
39秒前
情怀应助舒适思烟采纳,获得10
40秒前
隐形曼青应助无奈梦岚采纳,获得50
41秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2482857
求助须知:如何正确求助?哪些是违规求助? 2145091
关于积分的说明 5472237
捐赠科研通 1867418
什么是DOI,文献DOI怎么找? 928239
版权声明 563073
科研通“疑难数据库(出版商)”最低求助积分说明 496633