Related Experiment Video
Updated: Sep 11, 2025

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
Published on: November 21, 2019
Explaining multiscale choice dynamics
Steven Miletić1, Niek Stevenson2, Ami Eidels3
1Cognitive Psychology Unit, Institute of Psychology, Leiden University.
None:
Sequences of choice response times exhibit ubiquitous and strong multiscale dynamics (i.e., sequential dependencies across a broad range of temporal scales). Despite their pervasive nature, multiscale dynamics are poorly understood. We show that dynamics in the seconds to minutes range can be explained by the superposition of several distinct learning and control mechanisms. Each mechanism learns a representation of the structure of the choice environment and/or an aspect of the decision-maker's ability. These representations are updated after each choice and used to control the next decision by modulating the parameters of an evidence accumulation process with subsecond range dynamics that determine individual choices. We link these mechanisms to three major foci in the experimental study of sequential dependencies: stimulus history, error-related, and hard-easy effects. This account provides a detailed explanation of both multiscale dynamics of choice sequences, and the three effects, at the group and individual levels. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
More Related Videos
07:41Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
Published on: July 30, 2019
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
Related Concept Videos
Multicompartment Models: Overview
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Types of Selection
Multi-input and Multi-variable systems
In the absence...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Scaling