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  1. The time course of perceptual choice: The leaky, competing accumulator model.Marius Usher & James L. McClelland - 2001 - Psychological Review 108 (3):550-592.
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  • Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.Larry R. Squire - 1992 - Psychological Review 99 (2):195-231.
  • "Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans": Correction.Larry R. Squire - 1992 - Psychological Review 99 (3):582-582.
  • The perceptron: A probabilistic model for information storage and organization in the brain.F. Rosenblatt - 1958 - Psychological Review 65 (6):386-408.
    If we are eventually to understand the capability of higher organisms for perceptual recognition, generalization, recall, and thinking, we must first have answers to three fundamental questions: 1. How is information about the physical world sensed, or detected, by the biological system? 2. In what form is information stored, or remembered? 3. How does information contained in storage, or in memory, influence recognition and behavior? The first of these questions is in the.
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  • The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification.Alexander A. Petrov & John R. Anderson - 2005 - Psychological Review 112 (2):383-416.
  • An Integrative Theory of Prefrontal Cortex Function.Earl K. Miller & Jonathan D. Cohen - 2001 - Annual Review of Neuroscience 24 (1):167-202.
    The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of (...)
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  • Context theory of classification learning.Douglas L. Medin & Marguerite M. Schaffer - 1978 - Psychological Review 85 (3):207-238.
  • Toward an instance theory of automatization.Gordon D. Logan - 1988 - Psychological Review 95 (4):492-527.
  • ALCOVE: An exemplar-based connectionist model of category learning.John K. Kruschke - 1992 - Psychological Review 99 (1):22-44.
  • A neuropsychological theory of multiple systems in category learning.F. Gregory Ashby, Leola A. Alfonso-Reese, And U. Turken & Elliott M. Waldron - 1998 - Psychological Review 105 (3):442-481.
  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • The Reverse Hierarchy Theory of Visual Perceptual Learning.Merav Ahissar & Shaul Hochstein - 2004 - Trends in Cognitive Sciences 8 (10):457-464.
    Perceptual learning can be defined as practice-induced improvement in the ability to perform specific perceptual tasks. We previously proposed the Reverse Hierarchy Theory as a unifying concept that links behavioral findings of visual learning with physiological and anatomical data. Essentially, it asserts that learning is a top-down guided process, which begins at high-level areas of the visual system, and when these do not suffice, progresses backwards to the input levels, which have a better signal-to-noise ratio. This simple concept has proved (...)
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  • Decision rules in the perception and categorization of multidimensional stimuli.Fg Ashby & Re Gott - 1987 - Bulletin of the Psychonomic Society 25 (5):333-333.
     
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  • Toward an Instance Theory of Automatization.G. D. Logan - 1987 - Bulletin of the Psychonomic Society 25 (5):342-342.