1. Representing Response Times as Random VariablesPart I: Detection Paradigms 2. Simple Reaction Times: Basic Data3. Decomposition into Decision and Residual Latencies4. Distributions of Simple Decision Latencies5. Detection of Signals Presented at Irregular TimesPart II: Identification Paradigms 6. Two-Choice Reaction Times: Basic Ideas and Data7. Mixture Models8. Stochastic Accumulation of Information in Discrete Time9. Stochastic Accumulation of Information in Continuous Time10. Absolute Identification of More than Two SignalsPart III: Matching Paradigms 11. Memory, Scanning, Visual Search, and Same-Difference Designs12. Processing Stages and Strategies
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