Scientific computation: An interdisciplinary approach at Minnesota Donald G. Truhlar High-Performance Computing At The Minnesota Supercomputer Institute Pages: 3 - 5
The art of model development and testing Richard M. ShiffrinPeter A. Nobel High-Performance Computing And Psychological Models Pages: 6 - 14
Causal network analysis validation using synthetic recall protocols Richard M. Golden High-Performance Computing And Psychological Models Pages: 15 - 24
Commentary on high-performance computing and psychological models: Theory-building and model-fitting processes Stephen W. Link High-Performance Computing And Psychological Models Pages: 25 - 26
How the eye measures reality and virtual reality James E. Cutting High-Performance Computing And Human Vision I Pages: 27 - 36
Inverse 3-D graphics: A metaphor for visual perception Daniel Kersten High-Performance Computing And Human Vision I Pages: 37 - 46
Commentary on high-performance computing and human vision I: Perception of visual space Albert Yonas High-Performance Computing And Human Vision I Pages: 47 - 47
Of red planets and indigo computers: Mars database visualization as an example of platform downsizing Mary K. KaiserMichael J. Montegut High-Performance Computing And Human Vision II Pages: 48 - 53
Image processing for improved eye-tracking accuracy Jeffrey B. Mulligan High-Performance Computing And Human Vision II Pages: 54 - 65
Commentary on high-performance computing and human vision II: Virtual reality and eyeball tracking Lynne K. EdwardsStephen W. Link High-Performance Computing And Human Vision II Pages: 66 - 66
If we compute faster, do we understand better? James A. AndersonJeffrey P. Sutton High-Performance Computing And Neural And Physiological Processes Pages: 67 - 77
Magnetic source images of human brain functions N. G. GençerS. J. Williamson High-Performance Computing And Neural And Physiological Processes Pages: 78 - 83
Commentary on high-performance computing and neural and physiological processes: Focusing on the problem-solving process Jay Samuels High-Performance Computing And Neural And Physiological Processes Pages: 84 - 85
Application of high-performance computing to the management of social science and demographic data Albert F. Anderson High-Performance Computing And Statistical Analysis Pages: 86 - 98
Spline smoothing with model-based penalties J. O. RamsayN. HeckmanB. W. Silverman High-Performance Computing And Statistical Analysis Pages: 99 - 106
Commentary on high-performance computing and statistical analysis: From large-scale data analysis to smoothing functions Mark L. Davison High-Performance Computing And Statistical Analysis Pages: 107 - 108
Perception, models, and data: Some comments Patrick Suppes High-Performance Computing And Its Promises For The Behavioral Sciences Pages: 109 - 112
Commentary on high-performance computing and its promises for the behavioral sciences Lynne K. Edwards High-Performance Computing And Its Promises For The Behavioral Sciences Pages: 113 - 113
Components of high-performance computing and communication in the behavioral sciences John E. Mertz High-Performance Computing: Its Future Hardware And Software Pages: 114 - 116
Database visualization Marc Ondrechen High-Performance Computing: Its Future Hardware And Software Pages: 117 - 118
IBM research in interactive data mining and scientific computing Edward R. Kral High-Performance Computing: Its Future Hardware And Software Pages: 119 - 121
High-performance computer applications in the behavioral sciences Lynne K. EdwardsStephen W. LinkCynthia H. Null Executive Summary Pages: 122 - 125
