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The metaphorical brains

Artificial Intelligence 101 (1-2):323-335 (1998)

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  1. How brains make chaos in order to make sense of the world.Christine A. Skarda & Walter J. Freeman - 1987 - Behavioral and Brain Sciences 10 (2):161-173.
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  • A Theory of Sentience.Austen Clark (ed.) - 2000 - New York: Oxford University Press.
    Drawing on the findings of neuroscience, this text proposes and defends the hypothesis that the various modalities of sensation share a generic form that the author, Austen Clark, calls feature-placing.
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  • Neurolinguistics must be computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
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  • Levels of modeling of mechanisms of visually guided behavior.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):407-436.
    Intermediate constructs are required as bridges between complex behaviors and realistic models of neural circuitry. For cognitive scientists in general, schemas are the appropriate functional units; brain theorists can work with neural layers as units intermediate between structures subserving schemas and small neural circuits.After an account of different levels of analysis, we describe visuomotor coordination in terms of perceptual schemas and motor schemas. The interest of schemas to cognitive science in general is illustrated with the example of perceptual schemas in (...)
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  • Multiple representations of space underlying behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):627-640.
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  • Toward a Model of Functional Brain Processes II: Central Nervous System Functional Macro-architecture.Mark H. Bickhard - 2015 - Axiomathes 25 (4):377-407.
    The first paper in this pair (Bickhard in Axiomathes, 2015) developed a model of the nature of representation and cognition, and argued for a model of the micro-functioning of the brain on the basis of that model. In this sequel paper, starting with part III, this model is extended to address macro-functioning in the CNS. In part IV, I offer a discussion of an approach to brain functioning that has some similarities with, as well as differences from, the model presented (...)
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  • Robots With Internal Models A Route to Machine Consciousness?Owen Holland & Rod Goodman - 2003 - Journal of Consciousness Studies 10 (4-5):4-5.
    We are engineers, and our view of consciousness is shaped by an engineering ambition: we would like to build a conscious machine. We begin by acknowledging that we may be a little disadvantaged, in that consciousness studies do not form part of the engineering curriculum, and so we may be starting from a position of considerable ignorance as regards the study of consciousness itself. In practice, however, this may not set us back very far; almost a decade ago, Crick wrote: (...)
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  • What is the schema for a schema?Alan K. Mackworth - 1987 - Behavioral and Brain Sciences 10 (3):443-444.
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  • Schemas: Not yet an interlingua for the brain sciences.John K. Tsotsos - 1987 - Behavioral and Brain Sciences 10 (3):447-448.
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  • Body, Brain, and Behavior: The Neuroanthropology of the Body Image.Charles D. Laughlin - 1997 - Anthropology of Consciousness 8 (2-3):49-68.
    The author presents a biogenetic structural theory of the body image in human beings. The theory accounts for both the universal principles and the variance in body image cross‐culturally. All humans develop a neurocognitive model of their body which combines information about the body obtained via both the internal and external sensory systems. Their experience of themselves is mediated in part by this model. The initial model of the body is "hard‐wired" and already present and active in the cognitively and (...)
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  • Chaos, symbols, and connectionism.John A. Barnden - 1987 - Behavioral and Brain Sciences 10 (2):174-175.
    The paper is a commentary on the target article by Christine A. Skarda & Walter J. Freeman, “How brains make chaos in order to make sense of the world”, in the same issue of the journal, pp.161–195. -/- I confine my comments largely to some philosophical claims that Skarda & Freeman make and to the relationship of their model to connectionism. Some of the comments hinge on what symbols are and how they might sit in neural systems.
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  • Cognition as self–organizing process.Gerhard Werner - 1987 - Behavioral and Brain Sciences 10 (2):183-183.
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  • The centrality of instantiations.John A. Barnden - 1987 - Behavioral and Brain Sciences 10 (3):437-438.
    This paper is a commentary on the target article by Michael Arbib, “Levels of modeling of mechanisms of visually guided behavior”, in the same issue of the journal, pp. 407–465. -/- I focus on the importance of the inclusion of an ability of a system to entertain, at a given time, multiple instantiations of a given schema (situation template, frame, script, action plan, etc.), and complications introduced into neural/connectionist network systems by such inclusion.
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  • Cooperative computation as a concept for brain theory.Michael A. Arbib - 1979 - Behavioral and Brain Sciences 2 (3):475-483.
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  • Of schemas, neural nets, and Rana computatrix.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):451-465.
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  • Chaotic dynamics in brain activity.A. Babloyantz - 1987 - Behavioral and Brain Sciences 10 (2):173-174.
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  • Biologically applied neural networks may foster the coevolution of neurobiology and Cognitive psychology.Bill Baird - 1987 - Behavioral and Brain Sciences 10 (3):436-437.
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  • Phrenology, “boxology,” and neurology.Sheila E. Blumstein - 1979 - Behavioral and Brain Sciences 2 (3):460-461.
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  • Spatial analysis of brain function:Not the first.Robert M. Boynton - 1987 - Behavioral and Brain Sciences 10 (2):175-175.
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  • Can brains make psychological sense of neurological data?Robert Brown - 1987 - Behavioral and Brain Sciences 10 (2):175-176.
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  • Must neurolinguistics be computational?Hugh W. Buckingham - 1979 - Behavioral and Brain Sciences 2 (3):461-462.
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  • Berkeley, truth, and the world.Eric Bush - 1977 - Inquiry: An Interdisciplinary Journal of Philosophy 20 (1-4):205 – 225.
    There is a structural similarity between an influential argument of Berkeley 's against causal realism and a traditional, and recently revived, argument against the correspondence theory of truth. Both arguments chide the realist for positing a relation between his conceptions of reality and a world independent of those conceptions. Man could have no epistemic access to such a relation, it is said, for, by the realist's own admission, he has access to only one of the relata - his conceptions. I (...)
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  • Representations of the environment, multiple brain maps, and control systems.Charles M. Butter - 1982 - Behavioral and Brain Sciences 5 (4):640-641.
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  • Are computational models like HEARSAY psychologically valid?Gillian Cohen - 1979 - Behavioral and Brain Sciences 2 (3):462-463.
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  • When the “chaos” is too chaotic and the “limit cycles” too limited, the mind boggles and the brain flounders.Michael A. Corner & Andre J. Noest - 1987 - Behavioral and Brain Sciences 10 (2):176-177.
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  • The replicative evolutionary model of animal and human minds.V. Csånanyi - 1987 - World Futures 23 (3):161-202.
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  • Maps, space, and places.Roger M. Downs - 1982 - Behavioral and Brain Sciences 5 (4):641-642.
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  • On the differences between cognitive and noncognitive systems.D. C. Earle - 1987 - Behavioral and Brain Sciences 10 (2):177-178.
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  • Advantage of modeling in neuroscience.J. -P. Ewert - 1987 - Behavioral and Brain Sciences 10 (3):438-439.
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  • Standards for neural modeling.Jerome A. Feldman & David Zipser - 1982 - Behavioral and Brain Sciences 5 (4):642-642.
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  • Constraining models in neurolinguistics.Lyn Frazier - 1979 - Behavioral and Brain Sciences 2 (3):463-464.
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  • Computers are dumb.Frank R. Freemon - 1979 - Behavioral and Brain Sciences 2 (3):464-464.
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  • Computational neurolinguistics: promises, promises.Howard Gardner - 1979 - Behavioral and Brain Sciences 2 (3):464-465.
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  • Neurolinguistics must be more experimental before it can be effectively computational.Merrill Garrett & Edgar Zurif - 1979 - Behavioral and Brain Sciences 2 (3):465-466.
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  • The virtues of chaos.Alan Garfinkel - 1987 - Behavioral and Brain Sciences 10 (2):178-179.
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  • Is model building advancing neurolinguistics?Harold Goodglass - 1979 - Behavioral and Brain Sciences 2 (3):466-466.
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  • Is neurolinguistics ready for reductionism?Samuel H. Greenblatt - 1979 - Behavioral and Brain Sciences 2 (3):467-467.
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  • Stable self-organization of sensory recognition codes: Is chaos necessary?Stephen Grossberg - 1987 - Behavioral and Brain Sciences 10 (2):179-180.
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  • Levels of psychological reality, Arbib's “schemas,” and matters maybe metaphysical.Keith Gunderson - 1987 - Behavioral and Brain Sciences 10 (3):439-440.
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  • An embarrassment of riches in nascent neurolinguistics.Terry Halwes - 1979 - Behavioral and Brain Sciences 2 (3):467-468.
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  • Human spatial learning.Kristina Hooper - 1982 - Behavioral and Brain Sciences 5 (4):642-643.
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  • Éthologie et cybernétique : leur approche à la psychologie.Richard L. Hould & Marc-A. Provost - 1980 - Philosophiques 7 (2):301-319.
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  • What is computational neurolinguistics anyway?Patrick T. W. Hudson - 1979 - Behavioral and Brain Sciences 2 (3):468-469.
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  • The biotope of Rana computatrix.P. I. M. Johannesma - 1987 - Behavioral and Brain Sciences 10 (3):440-441.
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  • Lost in Chelm: Maladaptive behavior in an adaptive model.Stephen Kaplan - 1982 - Behavioral and Brain Sciences 5 (4):643-644.
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  • Exploratory behavior without novelty drive?Arthur I. Karshmer, Derek Partridge & Victor Johnson - 1982 - Behavioral and Brain Sciences 5 (4):644-645.
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  • Issues in core linguistic processing.Mary-Louise Kean & George E. Smith - 1979 - Behavioral and Brain Sciences 2 (3):469-470.
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  • The cognitive map must be a separate module.Benjamin Kuipers - 1982 - Behavioral and Brain Sciences 5 (4):645-646.
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  • Linguistics must be computational too.D. Terence Langendoen - 1979 - Behavioral and Brain Sciences 2 (3):470-471.
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  • Structure and process in schema-based architectures.Pat Langley - 1987 - Behavioral and Brain Sciences 10 (3):442-442.
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