- Attention to detail?Malcolm P. Young, Ian R. Paterson & David I. Perrett - 1989 - Behavioral and Brain Sciences 12 (3):417-418.details
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How do local reverberations achieve global integration?J. J. Wright - 1995 - Behavioral and Brain Sciences 18 (4):644-645.details
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Where's the psychological reality?C. Philip Winder - 1989 - Behavioral and Brain Sciences 12 (3):417-417.details
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Connectionist learning and the challenge of real environments.Mark Weaver & Stephen Kaplan - 1990 - Behavioral and Brain Sciences 13 (3):510-511.details
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Is extension to perception of real-world objects and scenes possible?J. Wagemans, K. Verfaillie, P. De Graef & K. Lamberts - 1989 - Behavioral and Brain Sciences 12 (3):415-417.details
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Connectionist models learn what?Timothy van Gelder - 1990 - Behavioral and Brain Sciences 13 (3):509-510.details
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Advances in neural network theory.Gérard Toulouse - 1990 - Behavioral and Brain Sciences 13 (3):509-509.details
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Connectionist models: Too little too soon?William Timberlake - 1990 - Behavioral and Brain Sciences 13 (3):508-509.details
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Problems of extension, representation, and computational irreducibility.Patrick Suppes - 1990 - Behavioral and Brain Sciences 13 (3):507-508.details
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Is the tag necessary?Ron Sun & Emmanuel Schalit - 1989 - Behavioral and Brain Sciences 12 (3):415-415.details
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The value of modeling visual attention.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):419-433.details
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A solution to the tag-assignment problem for neural networks.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):381-397.details
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There is more to learning then meeth the eye.Noel E. Sharkey - 1990 - Behavioral and Brain Sciences 13 (3):506-507.details
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An attentional hierarchy.Peter A. Sandon - 1989 - Behavioral and Brain Sciences 12 (3):414-415.details
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Reverberations of Hebbian thinking.Josef P. Rauschecker - 1995 - Behavioral and Brain Sciences 18 (4):642-643.details
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How to decide whether a neural representation is a cognitive concept?Maartje E. J. Raijmakers & Peter C. M. Molenaar - 1995 - Behavioral and Brain Sciences 18 (4):641-642.details
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The analysis of the learning needs to be deeper.John E. Rager - 1990 - Behavioral and Brain Sciences 13 (3):505-506.details
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Local or transcortical assemblies? Some evidence from cognitive neuroscience.Friedemann Pulvermüller & Hubert Preissl - 1995 - Behavioral and Brain Sciences 18 (4):640-641.details
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Damn the (behavioral) data, full steam ahead.William Prinzmetal & Richard Ivry - 1989 - Behavioral and Brain Sciences 12 (3):413-414.details
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Neural networks and computational theory: Solving the right problem.David C. Plaut - 1989 - Behavioral and Brain Sciences 12 (3):411-413.details
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Realistic neural nets need to learn iconic representations.W. A. Phillips, P. J. B. Hancock & L. S. Smith - 1990 - Behavioral and Brain Sciences 13 (3):505-505.details
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The problems of cognitive dynamical models.Jean Petitot - 1995 - Behavioral and Brain Sciences 18 (4):640-640.details
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Learning from learned networks.M. Pavel - 1990 - Behavioral and Brain Sciences 13 (3):503-504.details
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Simultaneous processing of features may not be possible.D. M. Parker - 1989 - Behavioral and Brain Sciences 12 (3):411-411.details
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Keeping representations at bay.Stanley Munsat - 1990 - Behavioral and Brain Sciences 13 (3):502-503.details
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Another ANN model for the Miyashita experiments.Masahiko Morita - 1995 - Behavioral and Brain Sciences 18 (4):639-640.details
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Fundamental design limitations in tag assignment.Hermann J. Müller, Glyn W. Humphreys, Philip T. Quinlan & Nick Donnelly - 1989 - Behavioral and Brain Sciences 12 (3):410-411.details
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Attractors – don't get sucked in.Peter M. Milner - 1995 - Behavioral and Brain Sciences 18 (4):638-639.details
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Toward a unification of conditioning and cognition in animal learning.William S. Maki - 1990 - Behavioral and Brain Sciences 13 (3):501-502.details
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On learnability, empirical foundations, and naturalness.W. J. M. Levelt - 1990 - Behavioral and Brain Sciences 13 (3):501-501.details
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A self-organizing perceptual system.James R. Levenick - 1989 - Behavioral and Brain Sciences 12 (3):409-410.details
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A nonspatial solution to a spatial problem.Ronald M. Lesperance & Stephen Kaplan - 1989 - Behavioral and Brain Sciences 12 (3):408-409.details
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Distributed cell assemblies and detailed cell models.Anders Lansner & Erik Fransén - 1995 - Behavioral and Brain Sciences 18 (4):637-638.details
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Approaches to learning and representation.Pat Langley - 1990 - Behavioral and Brain Sciences 13 (3):500-501.details
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What can psychologists learn from hidden-unit nets?K. Lamberts & G. D'Ydewalle - 1990 - Behavioral and Brain Sciences 13 (3):499-500.details
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State transitions in constraint satisfaction networks.John K. Kruschke - 1989 - Behavioral and Brain Sciences 12 (3):407-408.details
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How connectionist models learn: The course of learning in connectionist networks.John K. Kruschke - 1990 - Behavioral and Brain Sciences 13 (3):498-499.details
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Features and locations: Dichotomy or continuum?Lester E. Krueger & Leann M. Stadtlander - 1989 - Behavioral and Brain Sciences 12 (3):406-407.details
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An evolutionary perspective on Hebb's reverberatory representations.David C. Krakauer & Alasdair I. Houston - 1995 - Behavioral and Brain Sciences 18 (4):636-637.details
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The functional meaning of reverberations for sensoric and contextual encoding.Wolfgang Klimesch - 1995 - Behavioral and Brain Sciences 18 (4):636-636.details
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A non-empiricist perspective on learning in layered networks.Michael I. Jordan - 1990 - Behavioral and Brain Sciences 13 (3):497-498.details
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Hebb's accomplishments misunderstood.Michael Hucka, Mark Weaver & Stephen Kaplan - 1995 - Behavioral and Brain Sciences 18 (4):635-636.details
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Codes and their vicissitudes.Bernhard Hommel, Jochen Müsseler, Gisa Aschersleben & Wolfgang Prinz - 2001 - Behavioral and Brain Sciences 24 (5):910-926.details
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Additional tests of Amit's attractor neural networks.Ralph E. Hoffman - 1995 - Behavioral and Brain Sciences 18 (4):634-635.details
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Mathematics of Hebbian attractors.Morris W. Hirsch - 1995 - Behavioral and Brain Sciences 18 (4):633-634.details
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But what is the substance of connectionist representation?James Hendler - 1990 - Behavioral and Brain Sciences 13 (3):496-497.details
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The bicameral retina at a glance.C. L. Hardin - 1989 - Behavioral and Brain Sciences 12 (3):405-406.details
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What connectionist models learn: Learning and representation in connectionist networks.Stephen José Hanson & David J. Burr - 1990 - Behavioral and Brain Sciences 13 (3):471-489.details
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Learning and representation: Tensions at the interface.Steven José Hanson - 1990 - Behavioral and Brain Sciences 13 (3):511-518.details
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Expose hidden assumptions in network theory.Karl Haberlandt - 1990 - Behavioral and Brain Sciences 13 (3):495-496.details
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