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  1. Computational neurolinguistics: promises, promises.Howard Gardner - 1979 - Behavioral and Brain Sciences 2 (3):464-465.
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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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  • Neuropsychology and mental structure: Where do we go from here?Nelson Cowan - 1991 - Behavioral and Brain Sciences 14 (3):445-446.
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  • The modularity of consciousness.Owen Flanagan - 1991 - Behavioral and Brain Sciences 14 (3):446-447.
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  • Extending neuropsychology.David B. Andrews - 1991 - Behavioral and Brain Sciences 14 (3):439-440.
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  • Localization and the new phrenology: A review essay on William Uttal's the new phrenology. [REVIEW]Anthony Landreth & Robert C. Richardson - 2004 - Philosophical Psychology 17 (1):107-123.
    William Uttal's The new phrenology is a broad attack on localization in cognitive neuroscience. He argues that even though the brain is a highly differentiated organ, "high level cognitive functions" should not be localized in specific brain regions. First, he argues that psychological processes are not well-defined. Second, he criticizes the methods used to localize psychological processes, including imaging technology: he argues that variation among individuals compromises localization, and that the statistical methods used to construct activation maps are flawed. Neither (...)
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  • Connectionism and physiological psychology: A marriage made in heaven?C. R. Legg - 1988 - Philosophical Psychology 1 (3):263-78.
    Abstract Physiological psychology has its conceptual roots in stimulus?response behaviourism. The resurgence of cognitive concepts in mainstream psychology has led to a separation between the two, largely due to the failure of most cognitive theories to specify how their explanatory processes could be realised in the nervous system. Connectionism looks as if it may be able to bridge this gap. The problem is that connectionism takes a radically different view of the brain from that adopted in traditional physiological psychology. This (...)
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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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  • Neurolinguistics: grammar and computation.Barry Richards - 1979 - Behavioral and Brain Sciences 2 (3):473-474.
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  • On crude data and impoverished theory.Michael McCloskey & Alfonso Caramazza - 1991 - Behavioral and Brain Sciences 14 (3):453-454.
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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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  • Neurolinguistics must be computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
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  • On the relationship between neuropsychology and cognitive psychology.Earl Hunt - 1991 - Behavioral and Brain Sciences 14 (3):450-451.
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  • Précis of From neuropsychology to mental structure.Tim Shallice - 1991 - Behavioral and Brain Sciences 14 (3):429-438.
    Neuropsychological results are increasingly cited in cognitive theories although their methodology has been severely criticised. The book argues for an eclectic approach but particularly stresses the use of single-case studies. A range of potential artifacts exists when inferences are made from such studies to the organisation of normal function – for example, resource differences among tasks, premorbid individual differences, and reorganisation of function. The use of “strong” and “classical” dissociations minimises potential artifacts. The theoretical convergence between findings from fields where (...)
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  • Does cognitive neuropsychology have a future?J. T. L. Wilson - 1991 - Behavioral and Brain Sciences 14 (3):456-457.
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  • More on modularity.Carlo Umiltà - 1991 - Behavioral and Brain Sciences 14 (3):455-456.
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  • Making up the brain's mind.Michael E. Smith - 1991 - Behavioral and Brain Sciences 14 (3):454-455.
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  • How neuropsychology helps us understand normal cognitive function.Tim Shallice - 1991 - Behavioral and Brain Sciences 14 (3):457-469.
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  • Process models and language.Roger C. Schank - 1979 - Behavioral and Brain Sciences 2 (3):474-475.
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  • Computational neurolinguistics and the competence-performance distinction.Marc L. Schnitzer - 1979 - Behavioral and Brain Sciences 2 (3):475-475.
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  • A neurolinguistic computation: how must “must” be understood?Richard F. Reiss - 1979 - Behavioral and Brain Sciences 2 (3):473-473.
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  • Neurobiological Mechanisms for Semantic Feature Extraction and Conceptual Flexibility.Friedemann Pulvermüller - 2018 - Topics in Cognitive Science 10 (3):590-620.
    Neurons repeatedly exposed to similar perceptual experiences fire together and wire together to form ‘meaning kernels’ of concepts. Pulvermueller argues that abstract concepts may be devoid of meaning kernels, because the perceptual experiences that construct abstract concepts are subject to great variation and share few common features. Abstract concept are therefore grounded in the brain through features that belong to ‘meaning halos’, rather than to ‘meaning kernels’.
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  • Computers are dumb.Frank R. Freemon - 1979 - Behavioral and Brain Sciences 2 (3):464-464.
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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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  • Toward a functionalist theory of consciousness.Colin Allen - 1991 - Behavioral and Brain Sciences 14 (3):438-439.
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  • Consciousness and modularity.Bernard J. Baars - 1991 - Behavioral and Brain Sciences 14 (3):440-440.
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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 sense of computation.John C. Marshall - 1979 - Behavioral and Brain Sciences 2 (3):472-473.
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  • Localization, representation, and re-representation in neurolinguistics.Simeon Locke - 1979 - Behavioral and Brain Sciences 2 (3):471-472.
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  • Evolution of the flowchart.Harry J. Jerison - 1991 - Behavioral and Brain Sciences 14 (3):451-452.
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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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  • Much ado about the wrong thing.Yosef Grodzinsky - 1991 - Behavioral and Brain Sciences 14 (3):449-450.
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  • The possible futility of neuropsychology.Yonatan Goshen-Gottstein - 1991 - Behavioral and Brain Sciences 14 (3):448-449.
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  • Is model building advancing neurolinguistics?Harold Goodglass - 1979 - Behavioral and Brain Sciences 2 (3):466-466.
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  • Mental structure in the psychoses: The only hope for a neuropsychology of schizophrenia.Chris Frith - 1991 - Behavioral and Brain Sciences 14 (3):447-448.
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  • Constraining models in neurolinguistics.Lyn Frazier - 1979 - Behavioral and Brain Sciences 2 (3):463-464.
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  • Are Religious Experiences Really Localized Within the Brain? The Promise, Challenges, and Prospects of Neurotheology.Paul F. Cunningham - 2011 - Journal of Mind and Behavior 32 (3):223.
    This article provides a critical examination of a controversial issue that has theoretical and practical importance to a broad range of academic disciplines: Are religious experiences localized within the brain? Research into the neuroscience of religious experiences is reviewed and conceptual and methodological challenges accompanying the neurotheology project of localizing religious experiences within the brain are discussed. An alternative theory to current reductive and mechanistic explanations of observed mind–brain correlations is proposed — a mediation theory of cerebral action — that (...)
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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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  • The poverty of methodology.Alfonso Caramazza & Michael McCloskey - 1991 - Behavioral and Brain Sciences 14 (3):444-445.
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  • Potential pitfalls in neuropsychological studies: The case of short-term memory.David Caplan - 1991 - Behavioral and Brain Sciences 14 (3):443-444.
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  • Neuropsychology – Exclusive or inclusive?Charles M. Butter & Bruno Laeng - 1991 - Behavioral and Brain Sciences 14 (3):442-443.
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  • Understanding the Emergence of Modularity in Neural Systems.John A. Bullinaria - 2007 - Cognitive Science 31 (4):673-695.
    Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular neural structures familiar to cognitive scientists. However, simulations of the evolution of simplified neural systems have shown that, in many cases, it is actually non-modular architectures that (...)
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  • Must neurolinguistics be computational?Hugh W. Buckingham - 1979 - Behavioral and Brain Sciences 2 (3):461-462.
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  • How can cognitive neuropsychology be of value in understanding central processing?Gail A. Bruder - 1991 - Behavioral and Brain Sciences 14 (3):441-442.
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  • Two kinds of models, many kinds of souls: Shallice on neuropsychology.Bruce Bridgeman - 1991 - Behavioral and Brain Sciences 14 (3):440-441.
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  • Phrenology, “boxology,” and neurology.Sheila E. Blumstein - 1979 - Behavioral and Brain Sciences 2 (3):460-461.
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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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