Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology
eBook - ePub

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology

,
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology

,
Book details
Table of contents
Citations

About This Book

V. Methodology: E. J. Wagenmakers (Volume Editor)

Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.

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Information

Publisher
Wiley
Year
2018
ISBN
9781119170143
Edition
4

Table of contents

  1. Cover
  2. Title Page
  3. Table of Contents
  4. Contributors
  5. Preface
  6. CHAPTER 1: Computational Modeling in Cognition and Cognitive Neuroscience
  7. CHAPTER 2: Bayesian Methods in Cognitive Modeling
  8. CHAPTER 3: Model Comparison in Psychology
  9. CHAPTER 4: Statistical Inference
  10. CHAPTER 5: Elementary Signal Detection and Threshold Theory
  11. CHAPTER 6: Cultural Consensus Theory
  12. CHAPTER 7: Methods in Psychophysics
  13. CHAPTER 8: The Categorization Experiment: Experimental Design and Data Analysis
  14. CHAPTER 9: Response Times and Decision‐Making
  15. CHAPTER 10: The Stop‐Signal Paradigm
  16. CHAPTER 11: Uncovering Mental Architecture and Related Mechanisms in Elementary Human Perception, Cognition, and Action
  17. CHAPTER 12: Convergent Methods in Memory Research
  18. CHAPTER 13: Models and Methods for Reinforcement Learning
  19. CHAPTER 14: An Overview of Neural Time Series Analyses
  20. CHAPTER 15: Methods for fMRI Analysis
  21. CHAPTER 16: Neural Recordings at Multiple Scales
  22. CHAPTER 17: Neural Networks and Neurocomputational Modeling
  23. CHAPTER 18: Network Models for Clinical Psychology
  24. CHAPTER 19: Open Science
  25. Author Index
  26. Subject Index
  27. End User License Agreement