Maximiliano Montenegro,Jay I Myung,Mark A Pitt
Maximiliano Montenegro
An inordinate amount of computation is required to evaluate predictions of simulation-based models. Following Myung et al (2007), we derived an analytic form expression of the REM model of recognition memory using a Fourier transform techni...
C F A Gomes,C J Brainerd,K Nakamura et al.
C F A Gomes et al.
A half-century ago, at the dawn of the all-or-none learning era, Estes showed that finite Markov chains supply a tractable, comprehensive framework for discrete-change data of the sort that he envisioned for shifts in conditioning states in...
Jay I Myung,Daniel R Cavagnaro,Mark A Pitt
Jay I Myung
Experimentation is ubiquitous in the field of psychology and fundamental to the advancement of its science, and one of the biggest challenges for researchers is designing experiments that can conclusively discriminate the theoretical hypoth...
Systems Factorial Technology provides new insights on global-local information processing in autism spectrum disorders [0.03%]
系统因子技术为自闭症谱系障碍中的全局-局部信息处理提供新的见解
Shannon A Johnson,Leslie M Blaha,Joseph W Houpt et al.
Shannon A Johnson et al.
Previous studies of global-local processing in autism spectrum disorders (ASDs) have indicated mixed findings, with some evidence of a local processing bias, or preference for detail-level information, and other results suggesting typical g...
Robust versus optimal strategies for two-alternative forced choice tasks [0.03%]
鲁棒性策略与最优策略在两项被迫选择任务中的比较研究
M Zacksenhouse,R Bogacz,P Holmes
M Zacksenhouse
It has been proposed that animals and humans might choose a speed-accuracy tradeoff that maximizes reward rate. For this utility function the simple drift-diffusion model of two-alternative forced-choice tasks predicts a parameter-free opti...
Joseph W Houpt,James T Townsend
Joseph W Houpt
A critical component of how we understand a mental process is given by measuring the effect of varying the workload. The capacity coefficient (Townsend & Nozawa, 1995; Townsend & Wenger, 2004) is a measure on response times for quantifying ...
The three-class ideal observer for univariate normal data: Decision variable and ROC surface properties [0.03%]
一类三类理想观察者：决策变量及ROC曲面性质
Darrin C Edwards,Charles E Metz
Darrin C Edwards
Although a fully general extension of ROC analysis to classification tasks with more than two classes has yet to be developed, the potential benefits to be gained from a practical performance evaluation methodology for classification tasks ...
A Predictive Approach to Nonparametric Inference for Adaptive Sequential Sampling of Psychophysical Experiments [0.03%]
心理物理实验自适应顺序采样非参数推断的预测方法
Stephan Poppe,Philipp Benner,Tobias Elze
Stephan Poppe
We present a predictive account on adaptive sequential sampling of stimulus-response relations in psychophysical experiments. Our discussion applies to experimental situations with ordinal stimuli when there is only weak structural knowledg...
The Neurodynamics of Cognition: A Tutorial on Computational Cognitive Neuroscience [0.03%]
认知的神经动力学：计算认知神经科学教程
F Gregory Ashby,Sebastien Helie
F Gregory Ashby
Computational Cognitive Neuroscience (CCN) is a new field that lies at the intersection of computational neuroscience, machine learning, and neural network theory (i.e., connectionism). The ideal CCN model should not make any assumptions th...
Joseph W Houpt,James T Townsend
Joseph W Houpt
The survivor interaction contrasts (SIC) is a powerful measure for distinguishing among candidate models of human information processing. One class of models to which SIC analysis can apply are the coactive, or channel summation, models of ...