Attractor and integrator networks in the brain

M Khona, IR Fiete - Nature Reviews Neuroscience, 2022‏ - nature.com
In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Advancing theorizing about fast-and-slow thinking

W De Neys - Behavioral and Brain Sciences, 2023‏ - cambridge.org
Human reasoning is often conceived as an interplay between a more intuitive and deliberate
thought process. In the last 50 years, influential fast-and-slow dual-process models that …

Quantum cognition

EM Pothos, JR Busemeyer - Annual review of psychology, 2022‏ - annualreviews.org
Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

Small is beautiful: In defense of the small-N design

PL Smith, DR Little - Psychonomic bulletin & review, 2018‏ - Springer
The dominant paradigm for inference in psychology is a null-hypothesis significance testing
one. Recently, the foundations of this paradigm have been shaken by several notable …

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 …

[HTML][HTML] Random walks and diffusion on networks

N Masuda, MA Porter, R Lambiotte - Physics reports, 2017‏ - Elsevier
Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

[HTML][HTML] Visceral signals shape brain dynamics and cognition

D Azzalini, I Rebollo, C Tallon-Baudry - Trends in cognitive sciences, 2019‏ - cell.com
Most research in cognitive neuroscience explores how external stimuli are processed by the
brain. However, the brain also receives input from the internal body. We discuss here how …

Rationalizing constraints on the capacity for cognitive control

S Musslick, JD Cohen - Trends in cognitive sciences, 2021‏ - cell.com
Humans are remarkably limited in:(i) how many control-dependent tasks they can execute
simultaneously, and (ii) how intensely they can focus on a single task. These limitations are …

Neuronal reward and decision signals: from theories to data

W Schultz - Physiological reviews, 2015‏ - journals.physiology.org
Rewards are crucial objects that induce learning, approach behavior, choices, and
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …

Combining speed and accuracy to control for speed-accuracy trade-offs (?)

HR Liesefeld, M Janczyk - Behavior Research Methods, 2019‏ - Springer
In psychological experiments, participants are typically instructed to respond as fast as
possible without sacrificing accuracy. How they interpret this instruction and, consequently …