Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pharmacodynamics in Geriatric Patients: Effects of Age

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...

The Effect of Aging on Tissues

The Effect of Aging on Tissues

Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The interplay between selective attention and summary statistics.

The Behavioral and brain sciences·2025

Same author

A selective sampling account of forming numerosity representations.

Psychological review·2025

Same author

Using diffusion models for symbolic numeracy tasks to examine aging effects.

Journal of experimental psychology. Learning, memory, and cognition·2024

Same author

Beyond discrete-choice options.

Trends in cognitive sciences·2024

Same author

Parsing memory and nonmemory contributions to age-related declines in mnemonic discrimination performance: a hierarchical Bayesian diffusion decision modeling approach.

Learning & memory (Cold Spring Harbor, N.Y.)·2023

Same author

Reexamining the effects of speed-accuracy instructions with a diffusion-model-based analysis.

Journal of experimental psychology. Learning, memory, and cognition·2023

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

Published on: October 25, 2019

Modeling aging effects on two-choice tasks: response signal and response time data.

Roger Ratcliff¹

¹Psychology Department, The Ohio State University, Columbus, OH 43210, USA. ratcliff.22@osu.edu

Psychology and Aging

|January 15, 2009

Summary

Older adults exhibit slower cognitive processing, primarily due to increased variability in non-decision time, not reduced evidence accumulation, according to diffusion model analysis of response signal tasks.

More Related Videos

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Related Experiment Videos

Last Updated: Jun 26, 2026

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

Published on: October 25, 2019

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Area of Science:

Cognitive psychology
Neuroscience of aging
Computational modeling

Background:

The response signal paradigm assesses cognitive processing speed and decision-making.
Aging impacts cognitive functions, including response time (RT) and accuracy.
The diffusion model is a computational tool to analyze RT data.

Purpose of the Study:

To investigate age-related differences in cognitive processing using the response signal paradigm.
To model performance in young and older adults using the diffusion model.
To identify specific components of cognitive processing affected by aging.

Main Methods:

Collected response signal, RT, and accuracy data from young and older adults in a numerosity discrimination task.
Applied two versions of the diffusion model to fit the collected data.
Modeled response signal data by considering terminated and non-terminated processes.

Main Results:

Older adults showed increased non-decision time (70-100 ms) and more conservative decision criteria in standard RT tasks.
Older adults exhibited greater trial-to-trial variability in drift and non-decision components.
In the response signal task, increased non-decision variability primarily explained slower processing in older adults.

Conclusions:

Aging affects cognitive processing by increasing non-decision time variability rather than reducing evidence accumulation (drift rate).
The diffusion model effectively explains age-related performance differences in both standard RT and response signal tasks.
Findings align with previous diffusion model applications in aging research.