Diffusion decision model: Current issues and history

R Ratcliff, PL Smith, SD Brown, G McKoon - Trends in cognitive sciences, 2016 - cell.com
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 …

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 …

[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
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 …

Value, pleasure and choice in the ventral prefrontal cortex

F Grabenhorst, ET Rolls - Trends in cognitive sciences, 2011 - cell.com
Rapid advances have recently been made in understanding how value-based decision-
making processes are implemented in the brain. We integrate neuroeconomic and …

The neural basis of the speed–accuracy tradeoff

R Bogacz, EJ Wagenmakers, BU Forstmann… - Trends in …, 2010 - cell.com
In many situations, decision makers need to negotiate between the competing demands of
response speed and response accuracy, a dilemma generally known as the speed …

Choice history biases subsequent evidence accumulation

AE Urai, JW De Gee, K Tsetsos, TH Donner - Elife, 2019 - elifesciences.org
Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

Decision making in recurrent neuronal circuits

XJ Wang - Neuron, 2008 - cell.com
Decision making has recently emerged as a central theme in neurophysiological studies of
cognition, and experimental and computational work has led to the proposal of a cortical …

Bridging neural and computational viewpoints on perceptual decision-making

RG O'Connell, MN Shadlen, KF Wong-Lin… - Trends in …, 2018 - cell.com
Sequential sampling models have provided a dominant theoretical framework guiding
computational and neurophysiological investigations of perceptual decision-making. While …

Approaches to analysis in model-based cognitive neuroscience

BM Turner, BU Forstmann, BC Love, TJ Palmeri… - Journal of Mathematical …, 2017 - Elsevier
Our understanding of cognition has been advanced by two traditionally non-overlapping and
non-interacting groups. Mathematical psychologists rely on behavioral data to evaluate …

[图书][B] The noisy brain: stochastic dynamics as a principle of brain function

ET Rolls, G Deco - 2010 - academic.oup.com
The activity of neurons in the brain is noisy in that their firing times are random when they
are firing at a given mean rate. This introduces a random or stochastic property into brain …