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 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 …
Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions
BU Forstmann, R Ratcliff… - Annual review of …, 2016 - annualreviews.org
Sequential sampling models assume that people make speeded decisions by gradually
accumulating noisy information until a threshold of evidence is reached. In cognitive …
accumulating noisy information until a threshold of evidence is reached. In cognitive …
Characterizing the dynamics of mental representations: the temporal generalization method
Parsing a cognitive task into a sequence of operations is a central problem in cognitive
neuroscience. We argue that a major advance is now possible owing to the application of …
neuroscience. We argue that a major advance is now possible owing to the application of …
[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 …
A supramodal accumulation-to-bound signal that determines perceptual decisions in humans
In theoretical accounts of perceptual decision-making, a decision variable integrates noisy
sensory evidence and determines action through a boundary-crossing criterion. Signals …
sensory evidence and determines action through a boundary-crossing criterion. Signals …
Single-trial analysis and classification of ERP components—a tutorial
Analyzing brain states that correspond to event related potentials (ERPs) on a single trial
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …
[HTML][HTML] Behavioral and cognitive correlates of the aperiodic (1/f-like) exponent of the EEG power spectrum in adolescents with and without ADHD
BD Ostlund, BR Alperin, T Drew… - Developmental cognitive …, 2021 - Elsevier
Efficient information processing facilitates cognition and may be disrupted in a number of
neurodevelopmental conditions. And yet, the role of inefficient information processing and its …
neurodevelopmental conditions. And yet, the role of inefficient information processing and its …
Internal and external influences on the rate of sensory evidence accumulation in the human brain
SP Kelly, RG O'Connell - Journal of Neuroscience, 2013 - Soc Neuroscience
We frequently need to make timely decisions based on sensory evidence that is weak,
ambiguous, or noisy resulting from conditions in the external environment (eg, a cluttered …
ambiguous, or noisy resulting from conditions in the external environment (eg, a cluttered …
Is EEG suitable for marketing research? A systematic review
Background: In the past decade, marketing studies have greatly benefited from the adoption
of neuroscience techniques to explore conscious and unconscious drivers of consumer …
of neuroscience techniques to explore conscious and unconscious drivers of consumer …