Keith A Schneider
Keith A Schneider
Studying metacognition, the introspection of one's own decisions, can provide insights into the mechanisms underlying the decision. Here we show that observers' uncertainty about their decisions incorporate both the entropy of the stimuli a...
How do people build up visual memory representations from sensory evidence? Revisiting two classic models of choice [0.03%]
人们如何从感觉信息中建立视觉记忆表征？再探两个经典的选择模型
Maria M Robinson,Isabella C DeStefano,Edward Vul et al.
Maria M Robinson et al.
In many decision tasks, we have a set of alternative choices and are faced with the problem of how to use our latent beliefs and preferences about each alternative to make a single choice. Cognitive and decision models typically presume tha...
Experiment-based calibration in psychology: Optimal design considerations [0.03%]
基于实验的心理学校准：最优设计考虑因素
Dominik R Bach
Dominik R Bach
Psychological theories are often formulated at the level of latent, not directly observable, variables. Empirical measurement of latent variables ought to be valid. Classical psychometric validity indices can be difficult to apply in experi...
Expressions for Bayesian confidence of drift diffusion observers in fluctuating stimuli tasks [0.03%]
波动刺激任务中漂移扩散观测器的贝叶斯置信表达式
Joshua Calder-Travis,Rafal Bogacz,Nick Yeung
Joshua Calder-Travis
We introduce a new approach to modelling decision confidence, with the aim of enabling computationally cheap predictions while taking into account, and thereby exploiting, trial-by-trial variability in stochastically fluctuating stimuli. Us...
Samuel Paskewitz,Matt Jones
Samuel Paskewitz
According to the theory of derived attention, organisms attend to cues with strong associations. Prior work has shown that - combined with a Rescorla-Wagner style learning mechanism - derived attention explains phenomena such as learned pre...
Manuel Villarreal,Craig E L Stark,Michael D Lee
Manuel Villarreal
The Mnemonic Similarity Task (MST: Stark et al., 2019) is a modified recognition memory task designed to place strong demand on pattern separation. The sensitivity and reliability of the MST make it an extremely valuable tool in clinical se...
Dissecting EXIT [0.03%]
解析EXIT图表
Samuel Paskewitz,Matt Jones
Samuel Paskewitz
Kruschke's EXIT model (Kruschke, 2001b) has been very successful in explaining a variety of learning phenomena by means of selective attention. In particular, EXIT produces learned predictiveness effects (Le Pelley & McLaren, 2003), the inv...
Sandipan Pramanik,Valen E Johnson,Anirban Bhattacharya
Sandipan Pramanik
We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Examples are provided for z tests, t...
Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance Model [0.03%]
一种新颖的计算模型在气球风险任务中的发展：指数加权均值方差模型
Harhim Park,Jaeyeong Yang,Jasmin Vassileva et al.
Harhim Park et al.
The Balloon Analogue Risk Task (BART) is a popular task used to measure risk-taking behavior. To identify cognitive processes associated with choice behavior on the BART, a few computational models have been proposed. However, the extant mo...
A step-by-step tutorial on active inference and its application to empirical data [0.03%]
基于主动推理的实证数据分析步骤教程
Ryan Smith,Karl J Friston,Christopher J Whyte
Ryan Smith
The active inference framework, and in particular its recent formulation as a partially observable Markov decision process (POMDP), has gained increasing popularity in recent years as a useful approach for modeling neurocognitive processes....