FMTP: A unifying computational framework of temporal preparation across time scales.

计算机科学 危害 结合属性 航程(航空) 代表(政治) 跟踪(心理语言学) 功能(生物学) 联想学习 人工智能 比例(比率) 认知心理学 心理学 数学 物理 哲学 政治 生物 复合材料 有机化学 进化生物学 化学 材料科学 法学 纯数学 量子力学 语言学 政治学
作者
Josh Salet,Wouter Kruijne,van Hedderik Rijn
出处
期刊:Psychological Review [American Psychological Association]
卷期号:129 (5): 911-948 被引量:7
标识
DOI:10.1037/rev0000356
摘要

Temporal preparation is the cognitive function that takes place when anticipating future events. This is commonly considered to involve a process that maximizes preparation at time points that yield a high hazard. However, despite their prominence in the literature, hazard-based theories fail to explain the full range of empirical preparation phenomena. Here, we present the formalized multiple trace theory of temporal preparation (fMTP), an integrative model which develops the alternative perspective that temporal preparation results from associative learning. fMTP builds on established computational principles from the domains of interval timing, motor planning, and associative memory. In fMTP, temporal preparation results from associative learning between a representation of time on the one hand and inhibitory and activating motor units on the other hand. Simulations demonstrate that fMTP can explain phenomena across a range of time scales, from sequential effects operating on a time scale of seconds to long-term memory effects occurring over weeks. We contrast fMTP with models that rely on the hazard function and show that fMTP's learning mechanisms are essential to capture the full range of empirical effects. In a critical experiment using a Gaussian distribution of foreperiods, we show the data to be consistent with fMTP's predictions and to deviate from the hazard function. Additionally, we demonstrate how changing fMTP's parameters can account for participant-to-participant variations in preparation. In sum, with fMTP we put forward a unifying computational framework that explains a family of phenomena in temporal preparation that cannot be jointly explained by conventional theoretical frameworks. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
达da完成签到,获得积分10
1秒前
2秒前
李大了发布了新的文献求助10
3秒前
燕子发布了新的文献求助10
3秒前
小二郎应助默_古月采纳,获得10
4秒前
bkagyin应助大脸猫采纳,获得10
5秒前
意境杀手发布了新的文献求助10
5秒前
学术完成签到 ,获得积分10
6秒前
柑橘完成签到 ,获得积分10
7秒前
7秒前
9秒前
TW完成签到,获得积分10
11秒前
12秒前
丁真完成签到,获得积分10
13秒前
云祱完成签到,获得积分10
15秒前
15秒前
Sou发布了新的文献求助10
15秒前
胡益祥完成签到,获得积分10
18秒前
20秒前
夕诙应助知性的紫寒采纳,获得20
20秒前
内向的小凡完成签到,获得积分0
23秒前
123发布了新的文献求助20
24秒前
默_古月发布了新的文献求助10
25秒前
25秒前
Hoooo...发布了新的文献求助10
25秒前
28秒前
量子星尘发布了新的文献求助10
28秒前
29秒前
29秒前
科研小白发布了新的文献求助10
29秒前
Steven发布了新的文献求助10
30秒前
小马过河完成签到,获得积分10
30秒前
zipi完成签到,获得积分10
32秒前
33秒前
JULY发布了新的文献求助10
34秒前
木木发布了新的文献求助10
34秒前
奋斗的画笔完成签到 ,获得积分20
36秒前
科研小白完成签到,获得积分10
40秒前
43秒前
44秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961022
求助须知:如何正确求助?哪些是违规求助? 3507251
关于积分的说明 11134887
捐赠科研通 3239661
什么是DOI,文献DOI怎么找? 1790309
邀请新用户注册赠送积分活动 872341
科研通“疑难数据库(出版商)”最低求助积分说明 803150