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  1. Brain imaging the psychoses.C. D. Frith & R. J. Dolan - 1995 - Behavioral and Brain Sciences 18 (2):346-347.
    The approach adopted by Posner & Raichle in this book, with its strong emphasis on the cognitive level of description, is ideally suited to the study of psychotic illnesses. However, their discussion of depression and schizophrenia is based on a very small number of studies and involves ad hoc arguments derived largely from neuroanatomy. Their conclusions are almost certainly wrong.
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  • A major advance in neuropsychology.David Freides - 1995 - Behavioral and Brain Sciences 18 (2):345-346.
    Posner & Raichle's book presents methods and data that increase support for mind-brain unity and provide a method for studying and verifying brain dysfunction objectively. Their incorporation into the assessment technology of neuropsychology should accordingly constitute a major advance. In addition, these techniques may help clarify longstanding controversies in cognitive psychology such as whether perception is multimodal or amodal.
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  • Broca's area: Motor encoding in somatic space.Peter T. Fox - 1995 - Behavioral and Brain Sciences 18 (2):344-345.
    Encoding articulate speech is widely accepted as the principal (or sole) role of the frontal operculum. Clinical observations of speech apraxia have been confirmed by brain-imaging studies of speech production. We present evidence that the frontal operculum also programs limb movements. We argue that this area is a ventral counterpart of the dorsal premotor area. The two are functionally distinguished by specialization for somatic and visual space, respectively.
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  • Neuroscience and the multiple realization of cognitive functions.Carrie Figdor - 2010 - Philosophy of Science 77 (3):419-456.
    Many empirically minded philosophers have used neuroscientific data to argue against the multiple realization of cognitive functions in existing biological organisms. I argue that neuroscientists themselves have proposed a biologically based concept of multiple realization as an alternative to interpreting empirical findings in terms of one‐to‐one structure‐function mappings. I introduce this concept and its associated research framework and also how some of the main neuroscience‐based arguments against multiple realization go wrong. *Received October 2009; revised December 2009. †To contact the author, (...)
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  • The three attentional networks and the two hemispheric mechanisms.Uri Fidelman - 1995 - Behavioral and Brain Sciences 18 (2):343-344.
    A methodological problem may distort the implications derived from the metabolism scans of the brain, but Posner & Raichle may have found neural networks which underlie the analytical and synthetical hemispheric data processing mechanism. This methodological problem is that a large regional consumption of energy, detected by the PET technique, is not necessarily related to more data processing. It may be related to the inefficiency of the neural system at this region.
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  • Attention metaphors: How metaphors guide the cognitive psychology of attention.Diego Fernandez-Duque & Mark L. Johnson - 1999 - Cognitive Science 23 (1):83-116.
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  • A Multi‐Factor Account of Degrees of Awareness.Peter Fazekas & Morten Overgaard - 2018 - Cognitive Science 42 (6):1833-1859.
    In this paper we argue that awareness comes in degrees, and we propose a novel multi-factor account that spans both subjective experiences and perceptual representations. At the subjective level, we argue that conscious experiences can be degraded by being fragmented, less salient, too generic, or flash-like. At the representational level, we identify corresponding features of perceptual representations—their availability for working memory, intensity, precision, and stability—and argue that the mechanisms that affect these features are what ultimately modulate the degree of awareness. (...)
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  • Visual-spatial movement goals.Digby Elliott & Brian K. V. Maraj - 1994 - Behavioral and Brain Sciences 17 (2):207-207.
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  • Moving beyond imagination.Robert Dufour, Martin H. Fischer & David A. Rosenbaum - 1994 - Behavioral and Brain Sciences 17 (2):206-207.
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  • Tough times for dualists.Merlin Donald - 1995 - Behavioral and Brain Sciences 18 (2):342-343.
    Images of mindmarks a new era in human cognitive neuroscience. Despite the difficult conceptual problems associated with using group-averaged data and paired subtractions, human PET images converge well with existing data from other areas of cognitive neuroscience while opening up new theoretical and experimental possibilities. However, greater attention to individual differences might prove necessary in the study of culturally driven adaptations such as literacy.
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  • Complex behaviors: Evolution and the brain.William O. Dingwall - 1995 - Behavioral and Brain Sciences 18 (1):186-188.
    Three issues are addressed in this commentary. (1) Wilkins & Wakefield are commended for placing the complex behavior they discuss within an evolutionary matrix. (2) They err on a number of points in regard to their treatment of this complex behavior. These involve (a) their emphasis on the evolution of conceptual structure rather than language, (b) their equation of meaning with reference, (c) their minimalist view of learning theory, and (d) their separation of the evolution of speech from that of (...)
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  • Can there be a cognitive neuroscience of central cognitive systems?Vinod Goel - 2004 - In Christina E. Erneling & David Martel Johnson (eds.), Mind As a Scientific Object. Oxford University Press. pp. 265.
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  • Is phenomenal consciousness a complex structure?Chuck Stieg - 2009 - Activitas Nervosa Superior 51 (4):152-61.
    Evolutionary explanations of psychological phenomena have become widespread. This paper examines a recent attempt by Nichols and Grantham (2000) to circumvent the problem of epiphenomenalism in establishing the selective status of consciousness. Nichols and Grantham (2000) argue that a case can be made for the view that consciousness is an adaptation based on its complexity. I set out this argument and argue that it fails to establish that phenomenal consciousness is a complex system. It is suggested that the goal of (...)
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  • Principles for Implicit Learning.Axel Cleeremans - 1997 - In Dianne C. Berry (ed.), How Implicit is Implicit Learning? Oxford University Press.
    Complete URL to this document: http://srsc.ulb.ac.be/axcWWW/93-Principles.html.
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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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  • Cause and effect theories of attention: The role of conceptual metaphors.Diego Fernandez-Duque - 2002 - Review of General Psychology 6 (2):153-165.
    Scientific concepts are defined by metaphors. These metaphors determine what atten- tion is and what count as adequate explanations of the phenomenon. The authors analyze these metaphors within 3 types of attention theories: (a) --cause-- theories, in which attention is presumed to modulate information processing (e.g., attention as a spotlight; attention as a limited resource); (b) --effect-- theories, in which attention is considered to be a by-product of information processing (e.g., the competition meta- phor); and (c) hybrid theories that combine (...)
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  • Brain imaging of attentional networks in normal and pathological states.Diego Fernandez-Duque - 2001 - Journal of Clinical and Experimental Neuropsychology 23 (1):74-93.
    The ability to image the human brain has provided a new perspective for neuropsychologists in their efforts to understand, diagnose, and treat insults to the human brain that might occur as the result of stroke, tumor, traumatic injury, degenerative disease, or errors in development. These new ®ndings are the major theme of this special issue. In our article, we consider brain networks that carry out the functions of attention. We outline several such networks that have been studied in normal and (...)
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