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  1. EMG bursts, sampling, and strategy in movement control.Peter D. Neilson - 1989 - Behavioral and Brain Sciences 12 (2):228-229.
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  • The reflex remains.Benjamin H. Natelson - 1986 - Behavioral and Brain Sciences 9 (2):299-301.
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  • Some thoughts on the proper foundations for the study of cognition in animals.Lynn Nadel - 1982 - Behavioral and Brain Sciences 5 (3):383-384.
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  • Local versus global solutions to problems of hemispheric specialization.Morris Moscovitch - 1983 - Behavioral and Brain Sciences 6 (3):520.
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  • The imprecision of mental imagery.Thomas P. Moran - 1979 - Behavioral and Brain Sciences 2 (4):560-560.
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  • Al and cargo cult science.James Moor - 1981 - Behavioral and Brain Sciences 4 (4):544-545.
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  • Decentralized minds.Marvin Minsky - 1980 - Behavioral and Brain Sciences 3 (3):439-440.
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  • Needed: Some specifics for an imaginal code.Richard Millward - 1983 - Behavioral and Brain Sciences 6 (1):153-154.
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  • Cognition and comparative psychology.George A. Miller - 1983 - Behavioral and Brain Sciences 6 (1):152-153.
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  • Attractors – don't get sucked in.Peter M. Milner - 1995 - Behavioral and Brain Sciences 18 (4):638-639.
    Every immediate memory is unique; it is therefore unlikely to consist of an attractor or even a combination of attractors. In the present state of knowledge about the chemistry of synaptic transmission, there is no reason to look beyond neurons that directly receive sensory afferents for the afterdischarges that correspond to active memories.
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  • Fodor's modularity: A new name for an old dilemma.Theo C. Meyering - 1994 - Philosophical Psychology 7 (1):39-62.
    This paper critically examines the argument structure of Fodor's theory of modularity. Fodor claims computational autonomy as the essential properly of modular processing. This property has profound consequences, burdening modularity theory with corollaries of rigidity, non-plasticity, nativism, and the old Cartesian dualism of sensing and thinking. However, it is argued that Fodor's argument for computational autonomy is crucially dependent on yet another postulate of Fodor's theory, viz. his thesis of strong modularity, ie. the view that functionally distinct modules must also (...)
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  • Is the pen mightier than the computer?E. W. Menzel - 1980 - Behavioral and Brain Sciences 3 (3):438-439.
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  • (1 other version)Are we paraconsistent? on the luca-penrose argument and the computational theory of mind.Jason L. Megill - 2004 - Auslegung 27 (1):23-30.
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  • Cardiovascular adjustments are a part of behavior.John P. Meehan - 1986 - Behavioral and Brain Sciences 9 (2):299-299.
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  • Beliefs, machines, and theories.John McCarthy - 1980 - Behavioral and Brain Sciences 3 (3):435-435.
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  • The churchlands on methodological solipsism and computational psychology.Ausonio Marras - 1985 - Philosophy of Science 52 (June):295-309.
    This paper addresses a recent argument of the Churchlands against the "linguistic-rationalist" tradition exemplified by current cognitive-computational psychology. Because of its commitment to methodological solipsism--the argument goes--computational psychology cannot provide an account of how organisms are able to represent and "hook up to" the world. First I attempt to determine the exact nature of this charge and its relation to the Churchlands' long-standing polemic against 'folk psychology' and the linguistic-rationalist methodology. I then turn my attention to the Churchlands' account of (...)
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  • Intentionality and autonomy of verbal imagery in altered states of consciousness.David F. Marks - 1986 - Behavioral and Brain Sciences 9 (3):529-530.
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  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks - 1986 - Behavioral and Brain Sciences 9 (1):150-150.
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  • A code by any other name ….Marc Marschark - 1983 - Behavioral and Brain Sciences 6 (1):151-152.
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  • Intrinsic versus contrived intentionality.Donald M. MacKay - 1986 - Behavioral and Brain Sciences 9 (1):149-150.
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  • Discovering and training the components of intelligence.Colin M. MacLeod - 1980 - Behavioral and Brain Sciences 3 (4):597-598.
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  • Braking may be more critical than acceleration.William A. MacKay - 1989 - Behavioral and Brain Sciences 12 (2):227-228.
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  • The functionalist reply.William G. Lycan - 1980 - Behavioral and Brain Sciences 3 (3):434-435.
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  • A conceptual, an experimental, and a modeling question about imagery research.R. Duncan Luce - 1979 - Behavioral and Brain Sciences 2 (4):559-560.
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  • Visual perception: the shifting domain of discourse.Geoffrey R. Loftus & Elizabeth F. Loftus - 1980 - Behavioral and Brain Sciences 3 (3):391-392.
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  • Strategies for the control of studies of voluntary movements with one mechanical degree of freedom.Gerale E. Loeb - 1989 - Behavioral and Brain Sciences 12 (2):227-227.
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  • Functionalism can explain self-ascription.Brian Loar - 1993 - Behavioral and Brain Sciences 16 (1):58-60.
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  • Levels of grammatic representation: A tempest in a teapot.Michael R. Lipton - 1983 - Behavioral and Brain Sciences 6 (3):409-410.
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  • Mental phenomena and behavior.B. Libet - 1980 - Behavioral and Brain Sciences 3 (3):434-434.
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  • Embodied cognition and abstract concepts: Do concept empiricists leave anything out?Guido Löhr - 2019 - Philosophical Psychology 32 (2):161-185.
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  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
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  • Even a theory-theory needs information processing: ToMM, an alternative theory-theory of the child's theory of mind.Alan M. Leslie, Tim P. German & Francesca G. Happé - 1993 - Behavioral and Brain Sciences 16 (1):56-57.
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  • Direct pattern-imposing control or dynamic regulation?Marl L. Latash - 1989 - Behavioral and Brain Sciences 12 (2):226-227.
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  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
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  • Intelligence: Toward a modern sketch of a good g.Herbert Lansdell - 1980 - Behavioral and Brain Sciences 3 (4):597-597.
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  • Distributed cell assemblies and detailed cell models.Anders Lansner & Erik Fransén - 1995 - Behavioral and Brain Sciences 18 (4):637-638.
    Hebbian cell-assembly theory and attractor networks are good starting points for modeling cortical processing. Detailed cell models can be useful in understanding the dynamics of attractor networks. Cell assemblies are likely to be distributed, with the cortical column as the local processing unit. Synaptic memory may be dominant in all but the first couple of seconds.
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  • Strategies for single-joint movements should also work for multijoint movements.Fancesco Lacquaniti - 1989 - Behavioral and Brain Sciences 12 (2):225-226.
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  • Memory representations in animals: Some metatheoretical issues.Roy Lachman & Janet L. Lachman - 1982 - Behavioral and Brain Sciences 5 (3):380-381.
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  • What do eidetic images tell us about vision?Benjamin Kuipers - 1982 - Behavioral and Brain Sciences 5 (2):296-296.
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  • Is the “cognitive penetrability” criterion invalidated by contemporary physics?Peter N. Kugler, M. T. Turvey & Robert Shaw - 1982 - Behavioral and Brain Sciences 5 (2):303-306.
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  • The how, what, and why of mental imagery.Stephen M. Kossyln, Steven Pinker, George E. Smith & Steven P. Shwartz - 1979 - Behavioral and Brain Sciences 2 (4):570-581.
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  • Why argue about direct perception?J. J. Koenderink - 1980 - Behavioral and Brain Sciences 3 (3):390-391.
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  • Problem solving as a cognitive process.Manfred Kochen - 1984 - Behavioral and Brain Sciences 7 (4):599-600.
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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.
    Amit argues that the local neuronal spike rate that persists (reverberating) in the absence of the eliciting stimulus represents the code of the eliciting stimulus. Based on the general argument that the inferred functional meaning of reverberation depends in part on the type of representational assumptions, reverberations may only be important for the encoding of contextual information.
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  • Factors or processes in intelligence.Paul Kline - 1980 - Behavioral and Brain Sciences 3 (4):596-597.
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  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
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  • Précis of Vaulting Ambition: Sociobiology and the Quest for Human Nature.Philip Kitcher - 1987 - Behavioral and Brain Sciences 10 (1):61-71.
    The debate about the credentials of sociobiology has persisted because scholars have failed to distinguish the varieties of sociobiology and because too little attention has been paid to the details of the arguments that are supposed to support the provocative claims about human social behavior. I seek to remedy both deficiencies. After analysis of the relationships among different kinds of sociobiology and contemporary evolutionary theory, I attempt to show how some of the studies of the behavior of nonhuman animals meet (...)
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  • (1 other version)Why there might be a moral faculty: A reply to Johnson.David Kirkby - 2013 - Philosophical Psychology (4):1-8.
    Is there a cognitive faculty dedicated to the moral domain? Mark Johnson has developed a number of arguments against the existence of such a faculty. I claim that these arguments are not persuasive and that there may be a moral faculty.
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  • Septohippocampal comparator: Consciousness generator or attention feedback loop?Marcel Kinsbourne - 1995 - Behavioral and Brain Sciences 18 (4):687-688.
    As Gray insists, his comparator model proposes a brute correlation only – of consciousness with septohippocampal output. I suggest that the comparator straddles a feedback loop that boosts the activation ofnovelrepresentations, thus helping them feature in present or recollected experience. Such a role in organizing conscious contents would transcend correlation and help explain how consciousness emerges from brain function.
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  • Direct vs. representational views of cognition: A parallel between vision and phonology.Samuel Jay Keyser & Steven Pinker - 1980 - Behavioral and Brain Sciences 3 (3):389-390.
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