Diffusion decision model: Current issues and history
There is growing interest in diffusion models to represent the cognitive and neural processes
of speeded decision making. Sequential-sampling models like the diffusion model have a …
of speeded decision making. Sequential-sampling models like the diffusion model have a …
The neural basis of decision making
The study of decision making spans such varied fields as neuroscience, psychology,
economics, statistics, political science, and computer science. Despite this diversity of …
economics, statistics, political science, and computer science. Despite this diversity of …
The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences
Individual differences in cognitive paradigms are increasingly employed to relate cognition
to brain structure, chemistry, and function. However, such efforts are often unfruitful, even …
to brain structure, chemistry, and function. However, such efforts are often unfruitful, even …
[BOOK][B] Neuronal dynamics: From single neurons to networks and models of cognition
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
The diffusion decision model: theory and data for two-choice decision tasks
The diffusion decision model allows detailed explanations of behavior in two-choice
discrimination tasks. In this article, the model is reviewed to show how it translates …
discrimination tasks. In this article, the model is reviewed to show how it translates …
The time course of perceptual choice: the leaky, competing accumulator model.
The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic,
and competitive information accumulation in nonlinear decision units. Special cases of the …
and competitive information accumulation in nonlinear decision units. Special cases of the …
Ten simple rules for the computational modeling of behavioral data
Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …
fitting models to experimental data we can probe the algorithms underlying behavior, find …
The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.
In this article, the authors consider optimal decision making in two-alternative forced-choice
(TAFC) tasks. They begin by analyzing 6 models of TAFC decision making and show that all …
(TAFC) tasks. They begin by analyzing 6 models of TAFC decision making and show that all …
The speed-accuracy tradeoff: history, physiology, methodology, and behavior
RP Heitz - Frontiers in neuroscience, 2014 - frontiersin.org
There are few behavioral effects as ubiquitous as the speed-accuracy tradeoff (SAT). From
insects to rodents to primates, the tendency for decision speed to covary with decision …
insects to rodents to primates, the tendency for decision speed to covary with decision …
[HTML][HTML] HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python
The diffusion model is a commonly used tool to infer latent psychological processes
underlying decision making, and to link them to neural mechanisms based on reaction …
underlying decision making, and to link them to neural mechanisms based on reaction …