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  1. Executive control of visual attention in dual-task situations.Gordon D. Logan & Robert D. Gordon - 2001 - Psychological Review 108 (2):393-434.
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  • Connectionist and diffusion models of reaction time.Roger Ratcliff, Trisha Van Zandt & Gail McKoon - 1999 - Psychological Review 106 (2):261-300.
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  • A Ballistic Model of Choice Response Time.Scott Brown & Andrew Heathcote - 2005 - Psychological Review 112 (1):117-128.
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  • A Theory of Interactive Parallel Processing: New Capacity Measures and Predictions for a Response Time Inequality Series.James T. Townsend & Michael J. Wenger - 2004 - Psychological Review 111 (4):1003-1035.
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  • A connectionist model of a continuous developmental transition in the balance scale task.Anna C. Schapiro & James L. McClelland - 2009 - Cognition 110 (3):395-411.
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  • Modules in models of memory.Donald E. Broadbent - 1984 - Behavioral and Brain Sciences 7 (1):86-94.
    This paper puts forward a general framework for thought about human information processing. It is intended to avoid some of the problems of pipeline or stage models of function. At the same time it avoids the snare of supposing a welter of indefinitely many separate processes. The approach is not particularly original, but rather represents the common elements or presuppositions in a number of modern theories. These presuppositions are not usually explicit, however, and making them so reduces the danger of (...)
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  • Stage models of mental processing and the additive-factor method.Saul Sternberg - 1984 - Behavioral and Brain Sciences 7 (1):82-84.
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  • How do representations get processed in real nerve cells?Gerald S. Wasserman - 1984 - Behavioral and Brain Sciences 7 (1):85-85.
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  • Models as toothbrushes.Michael J. Watkins - 1984 - Behavioral and Brain Sciences 7 (1):86-86.
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  • The use of interference paradigms as a criterion for separating memory stores.Henry L. Roediger - 1984 - Behavioral and Brain Sciences 7 (1):78-79.
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  • Information-flow diagrams as scientific models.Kenneth M. Sayre - 1984 - Behavioral and Brain Sciences 7 (1):79-80.
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  • Practice, attention, and the processing system.Walter Schneider - 1984 - Behavioral and Brain Sciences 7 (1):80-81.
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  • Pipelines, processing models, and the mindbody problem.John G. Seamon - 1984 - Behavioral and Brain Sciences 7 (1):81-82.
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  • Memory and mood.Maryanne Martin - 1984 - Behavioral and Brain Sciences 7 (1):75-75.
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  • What kind of a framework?John Morton - 1984 - Behavioral and Brain Sciences 7 (1):75-76.
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  • The usefulness for memory theory of the word “store”.D. J. Murray - 1984 - Behavioral and Brain Sciences 7 (1):76-77.
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  • Simplistic heuristics and Maltese acrostics.Patrick Rabbitt - 1984 - Behavioral and Brain Sciences 7 (1):77-78.
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  • Modular mind or unitary system: A duck-rabbit effect.Gillian Cohen - 1984 - Behavioral and Brain Sciences 7 (1):71-72.
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  • Broadbent's Maltese cross memory model: Wisdom, but not especially unconventional.Robert G. Crowder - 1984 - Behavioral and Brain Sciences 7 (1):72-72.
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  • Practice and divided attention.William Hirst - 1984 - Behavioral and Brain Sciences 7 (1):72-73.
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  • Broadbent's Maltese cross memory model: Something old, something new, something borrowed, something missing.Elizabeth F. Loftus, Geoffrey R. Loftus & Earl B. Hunt - 1984 - Behavioral and Brain Sciences 7 (1):73-74.
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  • The homunculus as bureaucrat.Alan K. Mackworth - 1984 - Behavioral and Brain Sciences 7 (1):74-74.
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  • Models of mind: Hidden plumbing.Enoch Callaway - 1984 - Behavioral and Brain Sciences 7 (1):68-69.
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  • The Maltese cross: Simplistic yes, new no.Thomas H. Carr & Tracy L. Brown - 1984 - Behavioral and Brain Sciences 7 (1):69-71.
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  • The Maltese cross: A new simplistic model for memory.Donald E. Broadbent - 1984 - Behavioral and Brain Sciences 7 (1):55-68.
    This paper puts forward a general framework for thought about human information processing. It is intended to avoid some of the problems of pipeline or stage models of function. At the same time it avoids the snare of supposing a welter of indefinitely many separate processes. The approach is not particularly original, but rather represents the common elements or presuppositions in a number of modern theories. These presuppositions are not usually explicit, however, and making them so reduces the danger of (...)
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  • The Place of Modeling in Cognitive Science.James L. McClelland - 2009 - Topics in Cognitive Science 1 (1):11-38.
    I consider the role of cognitive modeling in cognitive science. Modeling, and the computers that enable it, are central to the field, but the role of modeling is often misunderstood. Models are not intended to capture fully the processes they attempt to elucidate. Rather, they are explorations of ideas about the nature of cognitive processes. In these explorations, simplification is essential—through simplification, the implications of the central ideas become more transparent. This is not to say that simplification has no downsides; (...)
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  • How persuasive is a good fit? A comment on theory testing.Seth Roberts & Harold Pashler - 2000 - Psychological Review 107 (2):358-367.
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  • Continuous versus discrete information processing: Modeling accumulation of partial information.Roger Ratcliff - 1988 - Psychological Review 95 (2):238-255.
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