Cover; Title; Copyright; Dedication; Contents; Figures and Tables; 1 The Neural Basis of General Recognition Theory; 1.1 Introduction; 1.2 Supporting Evidence for the Neural Feasibility of GRT; 1.3 Using Neuroscience Results to Improve GRT Applications; 1.4 Extending GRT to Neuroimaging Data; 1.5 Conclusions; 2 Visual Processing Capacity; 2.1 Introduction; 2.2 A Computational Approach to Visual Processing Capacity and Attentional Allocation; 2.3 The Neurophysiology of Visual Processing Capacity and Attentional Allocation 2.4 Load Theory and Attentional Allocation of Visual Processing Capacity2.5 Basic Assumptions of TVA and NTVA; 2.6 Concluding Remarks; 3 On the Relationship Between Perceived Structural Complexity and Temporal Judgments; 3.1 Introduction; 3.2 GISTM and Perceived Complexity; 3.3 Empirical Investigation; 3.4 Experiment 1; 3.5 Experiment 2; 3.6 Results; 3.7 Appendix; 4 The Mental Representation of Roman Letters: Revisiting Townsend's 1971 Letter-Identification Data; 4.1 Introduction; 4.2 Current Study; 5 Exposing the Hidden Ideal; 5.1 Introduction; 5.2 The Experiments; 5.3 Conclusion 6 Hearing What We See: The Temporal Dynamics of Audiovisual Speech Integration6.1 Introduction; 6.2 Linear Dynamic Model of Integration; 6.3 Model Testing and Measuring Audiovisual Integration; 6.4 New Developments and Future Applications; 6.5 Conclusion; 7 Processing Characteristics of Monaural Tone Detection: A Reaction-Time Perspective on a Classic Psychoacoustic Problem; 7.1 Introduction; 7.2 Methods; 7.3 Results; 7.4 General Discussion; 8 Characterizing and Quantifying Human Bandwidth: On the Utility and Criticality of the Construct of Capacity; 8.1 Capacity Before 1995 8.2 Capacity From 1995 to 20048.3 Capacity After 2004; 8.4 Concluding Remarks; 9 Modeling Stress Effects on Coping-Related Cognition; 9.1 Introduction; 9.2 Modeling Stress-Related Reduction in Task-Wise Capacity, Model Testing, and Measurement of Individual Differences; 9.3 Isolation of Stress Effects on Cognitive Performance; 9.4 Implications for Individual-Assessment Technology; 9.5 Concluding Comments; 10 Systems Factorial Technology Provides New Insights on the Perceptual Comparison and Decision Process in Change Detection; 10.1 Change Detection and Change Blindness 10.2 Change Detection Tasks and the Underlying Processes10.3 Visual Memory Theory; 10.4 Perceptual Comparison and Decision in Change Detection; 10.5 Alternative Processing Models; 10.6 Introduction to Systems Factorial Technology (SFT); 10.7 Applying SFT to Examine the Perceptual Comparison and Decision Process in Change Detection; 10.8 Relative Salience Affects Perceptual Comparison and Decision Process in Change Detection; 10.9 Concluding Remarks; 11 Combining the Capacity Coefficient with Statistical Learning to Explore Individual Differences; 11.1 Introduction