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  1.  30
    Four Frames Suffice: A Provisional Model of Vision and Space.Jerome A. Feldman - 1985 - Behavioral and Brain Sciences 8 (2):265-289.
    This paper presents a general computational treatment of how mammals are able to deal with visual objects and environments. The model tries to cover the entire range from behavior and phenomenological experience to detailed neural encodings in crude but computationally plausible reductive steps. The problems addressed include perceptual constancies, eye movements and the stable visual world, object descriptions, perceptual generalizations, and the representation of extrapersonal space.The entire development is based on an action-oriented notion of perception. The observer is assumed to (...)
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  2.  22
    From Molecule to Metaphor: A Neural Theory of Language.Jerome A. Feldman - 2006 - MIT Press.
    A theory that treats language not as an abstract symbol system but as a function of our brains and experience, integrating recent findings from biology, ...
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  3.  18
    Connectionist Models and Their Applications: Introduction.Jerome A. Feldman - 1985 - Cognitive Science 9 (1):1-2.
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  4.  19
    Enactivist vision.Jerome A. Feldman - 1992 - Behavioral and Brain Sciences 15 (1):35-36.
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  5.  22
    Decision Theory and Artificial Intelligence II: The Hungry Monkey.Jerome A. Feldman & Robert F. Sproull - 1977 - Cognitive Science 1 (2):158-192.
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  6.  25
    Cognitive Science Should Be Unified: Comment on Griffiths Et Al. And McClelland Et Al.Jerome A. Feldman - 2010 - Trends in Cognitive Sciences 14 (8):341.
  7.  28
    Embodiment is the Foundation, Not a Level.Jerome A. Feldman - 1997 - Behavioral and Brain Sciences 20 (4):746-747.
    Embodiment, the explicit dependence of cognition on the properties of the human body, is the foundation of contemporary cognitive science. Ballard et al.'s target article makes an important contribution to the embodiment story by suggesting how limitations on neural binding ability lead to deictic strategies for many tasks. It also exploits the powerful experimental method of instrumented virtual reality. This commentary suggests some ways in which the target article might be misinterpreted and offers other cautions.
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  8.  1
    Decision Theory and Artificial Intelligence: I. A Semantics-Based Region Analyzer.Jerome A. Feldman & Yoram Yakimovsky - 1974 - Artificial Intelligence 5 (4):349-371.
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  9.  5
    Connectionism.Jerome A. Feldman & Lokendra Shastri - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
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  10.  7
    From Mimesis to Synthesis.Jerome A. Feldman - 1993 - Behavioral and Brain Sciences 16 (4):759-759.
  11.  7
    Learning From Instruction.Jerome A. Feldman - 1984 - Behavioral and Brain Sciences 7 (4):593-593.
  12. On Intelligence as Memory.Jerome A. Feldman - 2005 - Artificial Intelligence 169 (2):181-183.
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  13.  12
    Radical Empiricism is Not Constructive.Jerome A. Feldman - 1997 - Behavioral and Brain Sciences 20 (4):563-564.
    The radical empiricist theory of the Quartz & Sejnowski target article would result in a brain that could not act. The attempt to bolster this position with computational arguments is misleading and often just wrong. Fortunately, other efforts are making progress in linking neural and cognitive development.
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  14.  6
    Standards for Neural Modeling.Jerome A. Feldman & David Zipser - 1982 - Behavioral and Brain Sciences 5 (4):642-642.
  15.  14
    So Many Models – So Little Time.Jerome A. Feldman - 1979 - Behavioral and Brain Sciences 2 (4):551-552.
  16.  12
    Toward a Unified Behavioral and Brain Science.Jerome A. Feldman - 1993 - Behavioral and Brain Sciences 16 (3):458-458.
  17.  4
    Tags is for Kids.Jerome A. Feldman - 1989 - Behavioral and Brain Sciences 12 (3):403-403.
  18.  13
    Tunnel Vision Will Not Suffice.Jerome A. Feldman - 1985 - Behavioral and Brain Sciences 8 (2):302-313.
  19.  4
    What's in a Link?Jerome A. Feldman - 1989 - Behavioral and Brain Sciences 12 (3):474-475.