Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Cognitive modeling with spreadsheets.

Siegfried Macho1

  • 1University of Fribourg, Rue Faucigny 2, CH 1700 Fribourg, Switzerland. siegfried.macho@unifr.ch

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|June 14, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A psychometric analysis of signal detection measures from ratings versus repeated and nonrepeated forced choices.

Journal of experimental psychology. Learning, memory, and cognition·2022
Same author

Analyzing change at the dyadic level: the common fate growth model.

Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43)·2014
Same author

Estimating, testing, and comparing specific effects in structural equation models: the phantom model approach.

Psychological methods·2011
Same author

Mediation in dyadic data at the level of the dyads: a Structural Equation Modeling approach.

Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43)·2009
Same author

Feature sampling in detection: implications for the measurement of perceptual independence.

Journal of experimental psychology. General·2007
Same author

Modeling associative recognition: a comparison of two-high-threshold, two-high-threshold signal detection, and mixture distribution models.

Journal of experimental psychology. Learning, memory, and cognition·2004
Same journal

Real-time language comprehension research using the Apple-Psych system.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2014
Same journal

Constraints on the perception of synthetic speech generated by rule.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2014
Same journal

Perception of synthetic speech produced automatically by rule: Intelligibility of eight text-to-speech systems.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2012
Same journal

Ninety-three pictures and 108 questions for the elicitation of homophones.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2011
Same journal

Free-association norms for the Spanish names of the Snodgrass and Vanderwart pictures.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2005
Same journal

French normative data and naming times for action pictures.

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·2005
See all related articles

This study demonstrates how spreadsheets can build and simulate cognitive models, including neural network and statistical types. Extended models successfully explained experimental data, highlighting spreadsheets as accessible tools for researchers and educators.

Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Data Science

Background:

  • Cognitive models are essential for understanding human cognition.
  • Traditional modeling often requires programming expertise.
  • Spreadsheets offer a potentially accessible platform for model implementation.

Purpose of the Study:

  • To present spreadsheet implementations of two distinct cognitive models: a neural network and a statistical model.
  • To showcase the utility of spreadsheet features for cognitive modeling.
  • To introduce novel extensions of existing cognitive models.

Main Methods:

  • Developed spreadsheet implementations for a neural network model and a statistical model.
  • Utilized spreadsheet data structures, array functions, built-in libraries, and optimization tools.

Related Experiment Videos

  • Extended existing cognitive models to enhance their explanatory power.
  • Main Results:

    • The extended neural network and statistical models successfully simulated experimental data.
    • The enhanced models explained experimental results that were not reproducible with original models.
    • Demonstrated the practical application of spreadsheets in cognitive modeling.

    Conclusions:

    • Spreadsheets provide a user-friendly tool for building and simulating cognitive models.
    • These implementations are particularly beneficial for researchers lacking programming skills.
    • Spreadsheet-based cognitive modeling can be an effective pedagogical tool for instructors.