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