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  1. John R. Anderson (2007). How Can the Human Mind Occur in the Physical Universe? OUP USA.
    "The question for me is how can the human mind occur in the physical universe? We now know that the world is governed by physics. We now understand the way biology nestles comfortably within that. The issue is how will the mind do that as well?" Alan Newell, 4 December 1991, Carnegie Mellon University -/- The argument John Anderson gives in this book was inspired by the passage above, from the last lecture by one of the pioneers of cognitive science. (...)
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  2. Michael L. Anderson (2007). Massive Redeployment, Exaptation, and the Functional Integration of Cognitive Operations. Synthese 159 (3):329 - 345.
    Abstract: The massive redeployment hypothesis (MRH) is a theory about the functional topography of the human brain, offering a middle course between strict localization on the one hand, and holism on the other. Central to MRH is the claim that cognitive evolution proceeded in a way analogous to component reuse in software engineering, whereby existing components-originally developed to serve some specific purpose-were used for new purposes and combined to support new capacities, without disrupting their participation in existing programs. If the (...)
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  3. Michael L. Anderson (2007). The Massive Redeployment Hypothesis and the Functional Topography of the Brain. Philosophical Psychology 21 (2):143-174.
    This essay introduces the massive redeployment hypothesis, an account of the functional organization of the brain that centrally features the fact that brain areas are typically employed to support numerous functions. The central contribution of the essay is to outline a middle course between strict localization on the one hand, and holism on the other, in such a way as to account for the supporting data on both sides of the argument. The massive redeployment hypothesis is supported by case studies (...)
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  4. Michael A. Arbib & Péter Érdi (2000). Précis of Neural Organization: Structure, Function, and Dynamics. Behavioral and Brain Sciences 23 (4):513-533.
    Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of hippocampus. (2) Function: Control (...)
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  5. Michael A. Arbib & Peter Érdi (2000). Organizing the Brain's Diversities. Behavioral and Brain Sciences 23 (4):551-565.
    We clarify the arguments in Neural organization: Structure, function, and dynamics, acknowledge important contributions cited by our critics, and respond to their criticisms by charting directions for further development of our integrated approach to theoretical and empirical studies of neural organization. We first discuss functional organization in general (behavior versus cognitive functioning, the need to study body and brain together, function in ontogeny and phylogeny) and then focus on schema theory (noting that schema theory is not just a top-down theory (...)
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  6. Gardar Árnason (2010). Neuroimaging, Uncertainty, and the Problem of Dispositions. Cambridge Quarterly of Healthcare Ethics 19 (02):188-.
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  7. Mitchell G. Ash & Thomas Sturm (eds.) (2007). Psychology’s Territories: Historical and Contemporary Perspectives From Different Disciplines. Erlbaum.
    This is an interdisciplinary collection of new essays by philosophers, psychologists, neuroscientists and historians on the question: What has determined and what should determine the territory or the boundaries of the discipline named "psychology"? Both the contents - in terms of concepts - and the methods - in terms of instruments - are analyzed. Among the contributors are Mitchell Ash, Paul Baltes, Jochen Brandtstädter, Gerd Gigerenzer, Michael Heidelberger, Gerhard Roth, and Thomas Sturm.
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  8. Harald Atmanspacher, Mental States as Macrostates Emerging From Brain Electrical Dynamics.
    Psychophysiological correlations form the basis for different medical and scientific disciplines, but the nature of this relation has not yet been fully understood. One conceptual option is to understand the mental as “emerging” from neural processes in the specific sense that psychology and physiology provide two different descriptions of the same system. Stating these descriptions in terms of coarser- and finer-grained system states macro- and microstates , the two descriptions may be equally adequate if the coarse-graining preserves the possibility to (...)
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  9. M. J. Avison (2002). Functional Brain Mapping: What is It Good For? Absolutely Nothing. Brain and Mind 3 (3):367-73.
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  10. Malcolm J. Avison (2002). Functional Brain Mapping – What is It Good For? Absolutely Nothing? (Comments on the New Phrenology, by William R. Uttal). Brain and Mind 3 (3):367-373.
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  11. Tim Bayne (2012). How to Read Minds. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  12. William P. Bechtel (2002). Decomposing the Brain: A Long Term Pursuit. Brain and Mind 3 (1):229-242.
    This paper defends cognitive neuroscience’s project of developing mechanistic explan- ations of cognitive processes through decomposition and localization against objections raised by William Uttal in The New Phrenology. The key issue between Uttal and researchers pursuing cognitive neuroscience is that Uttal bets against the possibility of decomposing mental operations into component elementary operations which are localized in distinct brain regions. The paper argues that it is through advancing and revising what are likely to be overly simplistic and incorrect decompositions that (...)
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  13. William P. Bechtel (2001). Decomposing and Localizing Vision: An Exemplar for Cognitive Neuroscience. In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Blackwell.
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  14. William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.) (2001). Philosophy and the Neurosciences: A Reader. Blackwell.
    2. Daugman, J. G. Brain metaphor and brain theory 3. Mundale, J. Neuroanatomical Foundations of Cognition: Connecting the Neuronal Level with the Study of Higher Brain Areas.
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  15. William P. Bechtel & Robert S. Stufflebeam (1997). PET: Exploring the Myth and the Method. Philosophy Of Science 64 (4).
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  16. Gregory S. Berns (2003). Neural Game Theory and the Search for Rational Agents in the Brain. Behavioral and Brain Sciences 26 (2):155-156.
    The advent of functional brain imaging has revolutionized the ability to understand the biological mechanisms underlying decision-making. Although it has been amply demonstrated that assumptions of rationality often break down in experimental games, there has not been an overarching theory of why this happens. I describe recent advances in functional brain imaging and suggest a framework for considering the function of the human reward system as a discrete agent.
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  17. Horst Bischof (1997). Locality, Modularity, and Computational Neural Networks. Behavioral and Brain Sciences 20 (3):516-517.
  18. James R. Blair & Karina S. Perschardt (2001). Empathy: A Unitary Circuit or a Set of Dissociable Neuro-Cognitive Systems? Behavioral and Brain Sciences 25 (1):27-28.
    We question whether empathy is mediated by a unitary circuit. We argue that recent neuroimaging data indicate dissociable neural responses for different facial expressions as well as for representing others' mental states (Theory of Mind, TOM). We also argue that the general empathy disorder considered characteristic of autism and psychopathy is not general but specific for each disorder.
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  19. Robyn Bluhm (2013). New Research, Old Problems: Methodological and Ethical Issues in fMRI Research Examining Sex/Gender Differences in Emotion Processing. Neuroethics 6 (2):319-330.
    Neuroscience research examining sex/gender differences aims to explain behavioral differences between men and women in terms of differences in their brains. Historically, this research has used ad hoc methods and has been conducted explicitly in order to show that prevailing gender roles were dictated by biology. I examine contemporary fMRI research on sex/gender differences in emotion processing and argue that it, too, both uses problematic methods and, in doing so, reinforces gender stereotypes.
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  20. Simon Boag (2007). 'Real Processes' and the Explanatory Status of Repression and Inhibition. Philosophical Psychology 20 (3):375 – 392.
    The recent interest in neuroscientific psychodynamic research ('neuropsychoanalysis') has meant that empirical findings are emerging which allow greater public scrutiny of psychodynamic concepts. However, Malcolm Macmillan has claimed that the psychoanalytic cornerstone, repression, is a circular explanatory concept and incapable of referring to a "real process." This paper discusses Macmillan's criticism and finds that repression is a coherent explanatory term and is not precluded from referring to real processes. Specifically, 'neural inhibition,' triggered by social factors, can account for Freudian repression, (...)
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  21. James Bogen (2002). Epistemological Custard Pies From Functional Brain Imaging. Philosophy of Science 69 (3):S59-S71.
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  22. James Bogen (2002). The Blackwell Guide to the Philosophy of Science. Cambridge: Blackwell.
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  23. James Bogen (2002). Experiment and Observation. In The Blackwell Guide to the Philosophy of Science. Cambridge: Blackwell.
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  24. James Bogen (2001). Functional Imaging Evidence: Some Epistemic Hotspots. In Peter K. Machamer, Peter McLaughlin & Rick Grush (eds.), Theory and Method in the Neurosciences. University of Pittsburgh Press.
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  25. Emily Borgelt, Daniel Buchman & Judy Illes (2012). Practicioners' Views on Neuroimaging : Mental Health, Patient Consent, and Choice. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  26. Emily Borgelt, Daniel Buchman & Judy Illes (2011). Erratum: “ This is Why You've Been Suffering”: Reflections of Providers on Neuroimaging in Mental Health Care. Journal of Bioethical Inquiry 8 (1):107-107.
    Erratum: “ This is Why you’ve Been Suffering”: Reflections of Providers on Neuroimaging in Mental Health Care Content Type Journal Article Pages 107-107 DOI 10.1007/s11673-011-9284-4 Authors Emily Borgelt, National Core for Neuroethics, University of British Columbia, Vancouver, Canada Daniel Z. Buchman, National Core for Neuroethics, University of British Columbia, Vancouver, Canada Judy Illes, National Core for Neuroethics, University of British Columbia, Vancouver, Canada Journal Journal of Bioethical Inquiry Online ISSN 1872-4353 Print ISSN 1176-7529 Journal Volume Volume 8 Journal Issue Volume (...)
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  27. Andrew Brook & Kathleen Akins (eds.) (2005). Cognition and the Brain: The Philosophy and Neuroscience Movement. Cambridge University Press.
    This volume provides an up to date and comprehensive overview of the philosophy and neuroscience movement, which applies the methods of neuroscience to traditional philosophical problems and uses philosophical methods to illuminate issues in neuroscience. At the heart of the movement is the conviction that basic questions about human cognition, many of which have been studied for millennia, can be answered only by a philosophically sophisticated grasp of neuroscience's insights into the processing of information by the human brain. Essays in (...)
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  28. Roger Brownsword (2012). Regulating Brain Imaging : Questions of Privacy, Informed Consent, and Human Dignity. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  29. David J. Buller & Valerie Gray Hardcastle (2000). Evolutionary Psychology, Meet Developmental Neurobiology: Against Promiscuous Modularity. Brain and Mind 1 (3):307-25.
    Evolutionary psychologists claim that the mind contains “hundreds or thousands” of “genetically specified” modules, which are evolutionary adaptations for their cognitive functions. We argue that, while the adult human mind/brain typically contains a degree of modularization, its “modules” are neither genetically specified nor evolutionary adaptations. Rather, they result from the brain’s developmental plasticity, which allows environmental task demands a large role in shaping the brain’s information-processing structures. The brain’s developmental plasticity is our fundamental psychological adaptation, and the “modules” that result (...)
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  30. Lisa J. Burklund & Matthew D. Lieberman (2012). Advances in Functional Neuroimaging of Psychopathology. Philosophy, Psychiatry, and Psychology 18 (4).
    In their paper "Conceptual Challenges in the Neuroimaging of Psychiatric Disorders," Kanaan and McGuire (2011) review a number of methodological and analytical obstacles associated with the use of functional magnetic resonance imaging (fMRI) to study psychiatric disorders. Although we agree that there are challenges and limitations to this end, it would be a shame for those without a background in neuroimaging to walk away from this article with the impression that such work is too daunting, and thus not worth pursuing. (...)
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  31. Colin Campbell & Nigel Eastman (2012). The Neurobiology of Violence : Science and Law. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  32. Stefano F. Cappa, Andrea Moro, Daniela Perani & Massimo Piattelli-Palmarini (2000). Broca's Aphasia, Broca's Area, and Syntax: A Complex Relationship. Behavioral and Brain Sciences 23 (1):27-28.
    Three types of problems are raised in this commentary: On the linguistic side, we emphasize the importance of an appropriate definition of the different domains of linguistics. This is needed to define the domains (lexicon-syntax-semantics) to which transformational relations apply. We then question the concept of Broca's aphasia as a “functional” syndrome, associated with a specific lesion. Finally, we discuss evidence from functional brain imaging. The breadth and potential impact of such evidence has grown considerably in the last few years, (...)
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  33. Kim Celone & Chantal Stern (2009). A Neuroimaging Perspective on the Use of Functional Magnetic Resonance Imaging (Fmri) in Educational and Legal Systems. American Journal of Bioethics 9 (1):28 – 29.
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  34. Thierry Chaminade & Jean Decety (2001). A Common Framework for Perception and Action: Neuroimaging Evidence. Behavioral and Brain Sciences 24 (5):879-882.
    In recent years, neurophysiological evidence has accumulated in favor of a common coding between perception and execution of action. We review findings from recent neuroimaging experiments in the action domain with three complementary perspectives: perception of action, covert action triggered by perception, and reproduction of perceived action (imitation). All studies point to the parietal cortex as a key region for body movement representation, both observed and performed.
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  35. Wayne Christensen & John Michael (forthcoming). Ian Apperly, Mindreaders: The Cognitive Basis of Theory of Mind. Phenomenology and the Cognitive Sciences.
  36. Axel Cleeremans (2006). Computational Correlates of Consciousness. In Steven Laureys (ed.), The Boundaries of Consciousness: Neurobiology and Neuropathology: Progress in Brain Research. Elsevier.
    Over the past few years numerous proposals have appeared that attempt to characterize consciousness in terms of what could be called its computational correlates: Principles of information processing with which to characterize the differences between conscious and unconscious processing. Proposed computational correlates include architectural specialization (such as the involvement of specific regions of the brain in conscious processing), properties of representations (such as their stability in time or their strength), and properties of specific processes (such as resonance, synchrony, interactivity, or (...)
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  37. Axel Cleeremans & Tiago V. Maia (2005). Consciousness: Converging Insights From Connectionist Modeling and Neuroscience. Trends in Cognitive Sciences 9 (8):397-404.
    Over the past decade, many findings in cognitive about the contents of consciousness: we will not address neuroscience have resulted in the view that selective what might be called the ‘enabling factors’ for conscious- attention, working memory and cognitive control ness (e.g. appropriate neuromodulation from the brain- stem, etc.). involve competition between widely distributed rep-.
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  38. Colin W. G. Clifford & Gillian Rhodes (eds.) (2005). Fitting the Mind to the World: Adaptation and After-Effects in High-Level Vision. OUP Oxford.
    Adaptation phenomena provide striking examples of perceptual plasticity and offer valuable insight into the mechanisms of visual coding. The technique of psychophysical adaptation has aptly been termed the psychologist's microelectrode because of its usefulness in investigating the coding of sensory information in the human brain. Its broader relevance though is illustrated by the increasing use of adaptation to study more cognitive aspects of vision such as the mechanisms of face perception and the neural substrates of visual awareness. -/- This book (...)
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  39. Moreno I. Coco & Frank Keller (2012). Scan Patterns Predict Sentence Production in the Cross-Modal Processing of Visual Scenes. Cognitive Science 36 (7):1204-1223.
    Most everyday tasks involve multiple modalities, which raises the question of how the processing of these modalities is coordinated by the cognitive system. In this paper, we focus on the coordination of visual attention and linguistic processing during speaking. Previous research has shown that objects in a visual scene are fixated before they are mentioned, leading us to hypothesize that the scan pattern of a participant can be used to predict what he or she will say. We test this hypothesis (...)
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  40. Sergi G. Costafreda (2012). Meta-Analysis, Mega-Analysis, and Task Analysis in fMRI Research. Philosophy, Psychiatry, and Psychology 18 (4).
    Lloyd (2011) presents highly suggestive results regarding the specificity of the link between particular brain areas and cognitive tasks. Some of his evidence is derived from the analysis of data from the BrainMap database (available: www.brainmap.org), which has become a fundamental resource for the conduct of functional neuroimaging meta-analysis. In the present note, some observations regarding the possibilities and pitfalls of meta-analysis of functional neuroimaging data are given as a complement to Lloyd's excellent exposition of the topic. Additionally, some comments (...)
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  41. Ronald E. Cranford & Barbara Killpatrick (1981). Tests in the Diagnosis of Brain Death: The Role of the Radioisotope Brain Scan. Bioethics Quarterly 3:67-72.
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  42. Wim E. Crusio (1997). Neuropsychological Inference Using a Microphrenological Approach Does Not Need a Locality Assumption. Behavioral and Brain Sciences 20 (3):517-518.
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  43. Thanh Dang-Vu & Martin Desseilles, Human Cognition During REM Sleep and the Activity Profile Within Frontal and Parietal Cortices: A Reappraisal of Functional Neuroimaging Data.
    In this chapter, we aimed at further characterizing the functional neuroanatomy of the human rapid eye movement (REM) sleep at the population level. We carried out a meta-analysis of a large dataset of positron emission tomography (PET) scans acquired during wakefulness, slow wave sleep and REM sleep, and focused especially on the brain areas in which the activity diminishes during REM sleep. Results show that quiescent regions are confined to the inferior and middle frontal cortex and to the inferior parietal (...)
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  44. H. Looren de Jong (1996). Brain Waves and Bridges: Comments on Hardcastle's “Discovering the Moment of Consciousness?“. Philosophical Psychology 9 (2):197 – 209.
    In this comment, a picture of ERP research is sketched that is slightly different from Hardcastle's account, in that it emphasises the functional characterisation of ERP components rather than the neurophysiological connections. It is suggested that selection pressure of ERP work on cognitive and neurophysiological theories and vice versa is a more apt metaphor for intertheoretical relations in this field than explanatory extension. Secondly, it is argued that the temporal characteristics of ERP components do not support Hardcastle's claim that they (...)
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  45. Athena Demertzi & Steven Laureys (2012). Where in the Brain is Pain? : Evaluating Painful Experiences in Non-Communicative Patients. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  46. Jocelyn Downie & Michael Hadskis (2005). Finding the Right Compass for Issue-Mapping in Neuroimaging. American Journal of Bioethics 5 (2):27 – 29.
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  47. Sarah J. L. Edwards (2012). Protecting Privacy Interests in Brain Images : The Limits of Consent. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  48. Sarah J. L. Edwards & Geraint Rees (2012). Conclusion. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  49. Erin A. Egan (2007). Neuroimaging as Evidence. American Journal of Bioethics 7 (9):62-63.
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  50. Angeles Eraña (2012). Dual Process Theories Versus Massive Modularity Hypotheses. Philosophical Psychology 25 (6):855-872.
    Two prevailing accounts of the structure of the mind have been provided, respectively, by the Dual System Theory and by the Massive Modularity Hypothesis. It has been claimed, however, that they cannot both be true at the same time, i.e., that they are incompatible and, thus, that one of them must be abandoned. I will offer some arguments to challenge this claim. I will show that a plausible understanding of each theory makes it possible for them both to be true (...)
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  51. Christina E. Erneling & D. Johnson (eds.) (2005). Mind As a Scientific Object. Oxford University Press.
  52. Carrie Figdor (2011). Semantics and Metaphysics in Informatics: Toward an Ontology of Tasks. Topics in Cognitive Science 3 (2):222-226.
    This article clarifies three principles that should guide the development of any cognitive ontology. First, that an adequate cognitive ontology depends essentially on an adequate task ontology; second, that the goal of developing a cognitive ontology is independent of the goal of finding neural implementations of the processes referred to in the ontology; and third, that cognitive ontologies are neutral regarding the metaphysical relationship between cognitive and neural processes.
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  53. Carrie Figdor (2010). Neuroscience and the Multiple Realization of Cognitive Functions. 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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  54. Carl E. Fisher & Paul S. Appelbaum (2010). Diagnosing Consciousness: Neuroimaging, Law, and the Vegetative State. Journal of Law, Medicine and Ethics 38 (2):374-385.
    In this paper, we review recent neuroimaging investigations of disorders of consciousness and different disciplines' understanding of consciousness itself. We consider potential tests of consciousness, their legal significance, and how they map onto broader themes in U.S. statutory law pertaining to advance directives and surrogate decision-making. In the process, we outline a taxonomy of themes to illustrate and clarify the variance in state-law definitions of consciousness. Finally, we discuss broader scientific, ethical, and legal issues associated with the advent of neuroimaging (...)
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  55. Paul J. Ford & Cynthia S. Kubu (2005). Caution in Leaping From Functional Imaging to Functional Neurosurgery. American Journal of Bioethics 5 (2):23 – 25.
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  56. Luann D. Fortune (2011). Essences of Somatic Awareness as Captured in a Verbally Directed Body Scan. Schutzian Research 3:107-119.
    Somatic awareness is bodily sensation imbued with consciousness. Directing and cultivating somatic awareness is a practice fundamental to many therapeutic and spiritual enterprises. Recent developments in neuroscience attempt to explain the operational aspects of somatic awareness. But it has long been a topic of conversation in other paradigms, from philosophy to health care. Somatic input provides information for use in wellness treatment applications, including therapeutic bodywork. Yet few massage therapy scholarly investigations aim to capture the quality of body awareness experience. (...)
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  57. Jonathan K. Foster (1997). The “Locality Assumption”: Lessons From History and Neuroscience? Behavioral and Brain Sciences 20 (3):518-519.
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  58. Michael S. Gazzaniga (ed.) (1995). The Cognitive Neurosciences. MIT Press.
  59. Philip Gerrans & Valerie E. Stone (2008). Generous or Parsimonious Cognitive Architecture? Cognitive Neuroscience and Theory of Mind. British Journal for the Philosophy of Science 59 (2):121-141.
    Recent work in cognitive neuroscience on the child's Theory of Mind (ToM) has pursued the idea that the ability to metarepresent mental states depends on a domain-specific cognitive subystem implemented in specific neural circuitry: a Theory of Mind Module. We argue that the interaction of several domain-general mechanisms and lower-level domain-specific mechanisms accounts for the flexibility and sophistication of behavior, which has been taken to be evidence for a domain-specific ToM module. This finding is of more general interest since it (...)
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  60. Frederic Gilbert, Lawrence Burns & Timothy Krahn (2011). The Inheritance, Power and Predicaments of the “Brain-Reading” Metaphor. Medicine Studies 2 (4):229-244.
    Purpose With the increasing sophistication of neuroimaging technologies in medicine, new language is being sought to make sense of the findings. The aim of this paper is to explore whether the brain-reading metaphor used to convey current medical or neurobiological findings imports unintended significations that do not necessarily reflect the genuine findings made by physicians and neuroscientists. Methods First, the paper surveys the ambiguities of the readability metaphor, drawing from the history of science and medicine, paying special attention to the (...)
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  61. Scott Glover (2004). Separate Visual Representations in the Planning and Control of Action. Behavioral and Brain Sciences 27 (1):3-24.
    Evidence for a dichotomy between the planning of an action and its on-line control in humans is reviewed. This evidence suggests that planning and control each serve a specialized purpose utilizing distinct visual representations. Evidence from behavioral studies suggests that planning is influenced by a large array of visual and cognitive information, whereas control is influenced solely by the spatial characteristics of the target, including such things as its size, shape, orientation, and so forth. Evidence from brain imaging and neuropsychology (...)
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  62. Peter Gouras (2000). Analyzing the Brain. Behavioral and Brain Sciences 23 (4):540-541.
    Neural organization describes an approach to analyzing neural function in anatomically defined subsystems in the brain, the hippocampus, cerebellum, sensory systems, thalamus, basal ganglia, and cerebral cortex, combining information on neurocircuitry with mathematical models that link structure with function. It is an up-to-date source on the major schemes and background for neural modeling of the central nervous system and is combined with a Web site that includes tutorials and on-line modeling possibilities.
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  63. Jennifer Greenwood (forthcoming). Contingent Transcranialism and Deep Functional Cognitive Integration: The Case of Human Emotional Ontogenesis. Philosophical Psychology:1-17.
    Contingent transcranialists claim that the physical mechanisms of mind are not exclusively intracranial and that genuine cognitive systems can extend into cognizers' physical and socio-cultural environments. They further claim that extended cognitive systems must include the deep functional integration of external environmental resources with internal neural resources. They have found it difficult, however, to explicate the precise nature of such deep functional integration and provide compelling examples of it. Contingent intracranialists deny that extracranial resources can be components of genuine extended (...)
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  64. Thor Grünbaum & Andrea Raballo (2012). Brain Imaging and Psychiatric Classification. Philosophy, Psychiatry, and Psychology 18 (4).
    Fielding and Marwede attempt to lay down directions for an applied onto-psychiatry. According to their proposal, such an enterprise requires us to accept certain metaphysical and methodological claims about how brain and experience are related. To put it in one sentence, our critique is that we find their metaphysics questionable and their methodology clinically impracticable.A first fundamental problem for their project, as it is expressed in their paper, is that their overall aim is unclear. At least three different aims might (...)
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  65. Christian G. Habeck & Ramesh Srinivasan (2000). Natural Solutions to the Problem of Functional Integration. Behavioral and Brain Sciences 23 (3):402-403.
    Current EEG research emphasizes gamma band coherence as a signature of functional integration, that is, the solution to the binding problem. We note that spatial patterns of coherent neural activity are also observed at other EEG frequencies. If these oscillations reflect Nunez's resonant modes, they offer a solution to the binding problem that emerges naturally from the architecture of cortical connections.
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  66. Ivar Hagendoorn (2012). Inscribing the Body, Exscribing Space. Phenomenology and the Cognitive Sciences 11 (1):69-78.
    The present paper briefly reviews recent advances in spatial cognition. A central tenet in spatial cognition is that spatial information is simultaneously encoded in multiple formats. It also appears that at the level of neural processing there is no clear distinction between the representation of space and the control of action. I will argue that these findings offer novel insight into the nature of dance and choreography and that the concepts used by cognitive neuroscientists to frame their findings can be (...)
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  67. Takashi Hanakawa, Manabu Honda & Mark Hallett (2004). Amodal Imagery in Rostral Premotor Areas. Behavioral and Brain Sciences 27 (3):406-407.
    Inspired by Rick Grush's emulation theory, we reinterpreted a series of our neuroimaging experiments which were intended to examine the representations of complex movement, modality-specific imagery, and supramodal imagery. The emulation theory can explain motor and cognitive activities observed in cortical motor areas, through the speculation that caudal areas relate to motor-specific imagery and rostral areas embrace an emulator for amodal imagery.
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  68. Valerie Gray Hardcastle & C. Matthew Stewart (2005). Localization in the Brain and Other Illusions. In Andrew Brook (ed.), Cognition and the Brain. Cambridge: Cambridge University Press.
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  69. Valerie Gray Hardcastle & C. Matthew Stewart (2004). Neuroscience and the Art of Single-Cell Recordings. Biology and Philosophy 18 (1):195-208.
    This article examines how scientists move from physical measurementsto actual observation of single-cell recordings in the brain. We highlight how easy it is to change the fundamental nature of ourobservations using accepted methodological techniques for manipulatingraw data. Collecting single-cell data is thoroughly pragmatic. Weconclude that there is no deep or interesting difference betweenaccounting for observations by measurements and accounting forobservations by theories.
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  70. Valerie Gray Hardcastle & C. Matthew Stewart (2002). What Do Brain Data Really Show? Philosophy of Science 69 (3):572-582.
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  71. Gary Hatfield (2010). Review of John Bickle (Ed.), The Oxford Handbook of Philosophy and Neuroscience. [REVIEW] Notre Dame Philosophical Reviews 2010 (5).
  72. John-Dylan Haynes (2012). Brain Reading. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  73. Katharina Henke, Theodor Landis & Hans J. Markowitsch (1993). Subliminal Perception of Pictures in the Right Hemisphere. Consciousness and Cognition 2 (3):225-236.
  74. Christian G. Huber (2009). Interdependence of Theoretical Concepts and Neuroimaging Data. Poiesis and Praxis 6 (3-4):203-217.
    Traditionally, discussion about neuroimaging focuses on methodological improvement and neurobiological findings. In current psychiatric neuroimaging, the research focus broadens and includes concepts such as the self, personality, well-being, and psychiatric disease. This calls for the inclusion of disciplines like psychology and philosophy in a dialogue with neuroscience. Furthermore, it raises the question of how theories from these areas relate to neuroimaging findings: are results generated by objective data independent of theories? Is there an epistemological priority for the theories used for (...)
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  75. Kevin A. Johnson, F. Andrew Kozel, Steven J. Laken & Mark S. George (2007). The Neuroscience of Functional Magnetic Resonance Imaging Fmri for Deception Detection. American Journal of Bioethics 7 (9):58 – 60.
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  76. S. King Joseph, Bibo Zheng Mix Xie & H. Pribram Karl (2000). Maps of Surface Distributions of Electrical Activity in Spectrally Derived Receptive Fields of the Rat's Somatosensory Cortex. Brain and Mind 1 (3).
    This study describes the results of experiments motivated by an attempt to understand spectral processing in the cerebral cortex (DeValois and DeValois, 1988; Pribram, 1971, 1991). This level of inquiry concerns processing within a restricted cortical area rather than that by which spatially separate circuits become synchronized during certain behavioral and experiential processes. We recorded neural responses for 55 locations in the somatosensory (barrel) cortex of the rat to various combinations of spatial frequency (texture) and temporal frequency stimulation of their (...)
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  77. Jon H. Kaas (2000). Why is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller. Brain and Mind 1 (1):7-23.
    As bridges or brains become bigger or smaller, the changes pose problems of design thatneed to be solved. Larger brains could have larger or more neurons, or both. With largerneurons, it becomes difficult to maintain conduction times over longer axons andelectrical cable properties over longer dendrites. With more neurons, it becomes difficultfor each neuron to maintain its proportion of connections with other neurons. Theseproblems are addressed by making brains more modular, thereby (...)
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  78. Roi Cohen Kadosh & Vincent Walsh (2008). From Magnitude to Natural Numbers: A Developmental Neurocognitive Perspective. Behavioral and Brain Sciences 31 (6):647-648.
  79. Richard A. A. Kanaan & Philip K. McGuire (2012). Conceptual Challenges in the Neuroimaging of Psychiatric Disorders. Philosophy, Psychiatry, and Psychology 18 (4).
    The brain scanner is a piece of philosophical fiction made fact. It was among the most common creations of thought experiments, along with the brain-vat and the mindless robot. With the imaginary scanner, readings were taken of each other's brain activity, thereby learning everything about other minds, or very little, depending on the outcome of the thought experiment. The scanners that are now in use—those that allow us to do functional magnetic resonance imaging (fMRI), for example—are a little different to (...)
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  80. Brendan D. Kelly (2012). Brain Imaging in Clinical Psychiatry : Why? In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  81. Donald Kennedy (2005). Neuroimaging: Revolutionary Research Tool or a Post-Modern Phrenology? American Journal of Bioethics 5 (2):19.
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  82. Joseph S. King, Mix Xie, Bibo Zheng & Karl H. Pribram (2000). Maps of Surface Distributions of Electrical Activity in Spectrally Derived Receptive Fields of the Rat's Somatosensory Cortex. Brain and Mind 1 (3):327-349.
    This study describes the results of experiments motivated by an attempt to understand spectral processing in the cerebral cortex (DeValois and DeValois, 1988; Pribram, 1971, 1991). This level of inquiry concerns processing within a restricted cortical area rather than that by which spatially separate circuits become synchronized during certain behavioral and experiential processes. We recorded neural responses for 55 locations in the somatosensory (barrel) cortex of the rat to various combinations of spatial frequency (texture) and temporal frequency stimulation of their (...)
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  83. Colin Klein (2010). Images Are Not the Evidence in Neuroimaging. British Journal for the Philosophy of Science 61 (2):265-278.
    fMRI promises to uncover the functional structure of the brain. I argue, however, that pictures of ‘brain activity' associated with fMRI experiments are poor evidence for functional claims. These neuroimages present the results of null hypothesis significance tests performed on fMRI data. Significance tests alone cannot provide evidence about the functional structure of causally dense systems, including the brain. Instead, neuroimages should be seen as indicating regions where further data analysis is warranted. This additional analysis rarely involves simple significance testing, (...)
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  84. Colin Klein (2011). The Dual Track Theory of Moral Decision-Making: A Critique of the Neuroimaging Evidence. Neuroethics 4 (2):143-162.
    The dual-track theory of moral reasoning has received considerable attention due to the neuroimaging work of Greene et al. Greene et al. claimed that certain kinds of moral dilemmas activated brain regions specific to emotional responses, while others activated areas specific to cognition. This appears to indicate a dissociation between different types of moral reasoning. I re-evaluate these claims of specificity in light of subsequent empirical work. I argue that none of the cortical areas identified by Greene et al. are (...)
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  85. Colin Klein (2010). Philosophical Issues in Neuroimaging. Philosophy Compass 5 (2):186-198.
    Functional neuroimaging (NI) technologies like Positron Emission Tomography and functional Magnetic Resonance Imaging (fMRI) have revolutionized neuroscience, and provide crucial tools to link cognitive psychology and traditional neuroscientific models. A growing discipline of 'neurophilosophy' brings fMRI evidence to bear on traditional philosophical issues such as weakness of will, moral psychology, rational choice, social interaction, free will, and consciousness. NI has also attracted critical attention from psychologists and from philosophers of science. I review debates over the evidential status of fMRI, including (...)
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  86. Nicolas Kopp (2009). How Technologies of Imaging Are Shaping Clinical Research and Practice in Neurology. Medicine Studies 1 (4):315-328.
    How Technologies of Imaging are Shaping Clinical Research and Practice in Neurology Content Type Journal Article Category Past & Present Pages 315-328 DOI 10.1007/s12376-010-0037-1 Authors Nicolas Kopp, Hôpital de l’HotelDieu Lyon University Hospitals, EspaceEthique Inter-régional 69288 Lyon, Cedex 02 France Journal Medicine Studies Online ISSN 1876-4541 Print ISSN 1876-4533 Journal Volume Volume 1 Journal Issue Volume 1, Number 4.
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  87. Maria Korman, Tamar Flash & Avi Karni (2005). Resistance to Interference and the Emergence of Delayed Gains in Newly Acquired Procedural Memories: Synaptic and System Consolidation? Behavioral and Brain Sciences 28 (1):74-75.
    The progressive multistage stabilization of memory (consolidation) relies on post-acquisition neural reorganization. We hypothesize that two processes subserve procedural memory consolidation and are reflected in delayed post-acquisition performance gains: (1) synaptic consolidation, which is classical Hebbian, and (2) in some tasks, concurrently or consequently, “system consolidation,” which might in some skills be sleep-dependent. Behavioral interference may affect either type of consolidation.
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  88. Kristjan Laasik (forthcoming). Constitutive Strata and the Dorsal Stream. Phenomenology and the Cognitive Sciences:1-17.
    In his paper, “The Dorsal Stream and the Visual Horizon,” Michael Madary argues that “dorsal stream processing plays a main role in the spatiotemporal limits of visual perception, in what Husserl identified as the visual horizon” (Madary 2011, p. 424). Madary regards himself as thereby providing a theoretical framework “sensitive to basic Husserlian phenomenology” (Madary 2011). In particular, Madary draws connections between perceptual anticipations and the experience of the indeterminate spatial margins, on the one hand, and the Husserlian spatiotemporal visual (...)
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  89. Anthony Landreth & Robert C. Richardson (2004). Localization and the New Phrenology: A Review Essay on William Uttal's the New Phrenology. [REVIEW] 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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  90. Justin E. Lane & Nora Parren (forthcoming). The Moral Psychology Handbook. Philosophical Psychology:1-5.
    Philosophical Psychology, Volume 0, Issue 0, Page 1-5, Ahead of Print.
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  91. Steven Laureys (ed.) (2005). The Boundaries of Consciousness: Neurobiology and Neuropathology: Progress in Brain Research. Elsevier.
  92. John R. Leo & D. Cohen (2003). Broken Brains or Flawed Studies? A Critical Review of ADHD Neuroimaging Research. Journal of Mind and Behavior 24 (1):29-55.
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  93. Willem J. M. Levelt, Antje S. Meyer & Ardi Roelofs (2004). Relations of Lexical Access to Neural Implementation and Syntactic Encoding. Behavioral and Brain Sciences 27 (2):299-301.
    How can one conceive of the neuronal implementation of the processing model we proposed in our target article? In his commentary (Pulvermüller 1999, reprinted here in this issue), Pulvermüller makes various proposals concerning the underlying neural mechanisms and their potential localizations in the brain. These proposals demonstrate the compatibility of our processing model and current neuroscience. We add further evidence on details of localization based on a recent meta-analysis of neuroimaging studies of word production (Indefrey & Levelt 2000). We also (...)
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  94. Annabelle Lever (2012). Neuroscience V. Privacy? : A Democratic Perspective. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  95. David Linden (2012). Overcoming Self-Report : Possibilities and Limitations of Brain Imaging in Psychiatry. In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press.
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  96. Dan Lloyd (2012). Through a Glass Darkly: Schizophrenia and Functional Brain Imaging. Philosophy, Psychiatry, and Psychology 18 (4).
    To william james, conscious life was a stream; to Edmund Husserl, a flow. These metaphors point to the marvelous continuity of experience as it weaves through the world of thought and things. We might similarly talk about the flow of the body, as I reach for my cup of coffee. A physiologist could decompose the action, isolating the contribution of each muscle and joint to the whole. This functional analysis would constitute one form of explanation of the movement. As we (...)
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  97. Dan Lloyd (2002). Studying the Mind From the Inside Out. Brain and Mind 3 (1):243-59.
    Good research requires, among other virtues,(i) methods that yield stable experimentalobservations without arbitrary (post hoc)assumptions, (ii) logical interpretations ofthe sources of observations, and (iii) soundinferences to general causal mechanismsexplaining experimental results by placing themin larger explanatory contexts. In TheNew Phrenology , William Uttal examines theresearch tradition of localization, and findsit deficient in all three virtues, whetherbased on lesion studies or on new technologiesfor functional brain imaging. In this paper Iconsider just the arguments concerning brainimaging, especially functional MagneticResonance Imaging. I think (...)
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  98. Dan Lloyd (2000). Terra Cognita: From Functional Neuroimaging to the Map of the Mind. Brain and Mind 1 (1):93-116.
    For more than a century the paradigm inspiringcognitive neuroscience has been modular and localist.Contemporary research in functional brain imaginggenerally relies on methods favorable to localizingparticular functions in one or more specific brainregions. Meanwhile, connectionist cognitive scientistshave celebrated the computational powers ofdistributed processing, and pioneered methods forinterpreting distributed representations. This papertakes a connectionist approach to functionalneuroimaging. A tabulation of 35 PET (positronemission tomography) experiments strongly indicatesdistributed function for at least the ''medium sized''anatomical units, the cortical Brodmann areas. Moreimportant, when these PET (...)
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  99. Nikos Logothetis, Individuation and Holistic Processing of Faces in Rhesus Monkeys.
    Despite considerable evidence that neural activity in monkeys reflects various aspects of face perception, relatively little is known about monkeys’ face processing abilities. Two characteristics of face processing observed in humans are a subordinate-level entry point, here, the default recognition of faces at the subordinate, rather than basic, level of categorization, and holistic effects, i.e. perception of facial displays as an integrated whole. The present study used an adaptation paradigm to test whether untrained rhesus macaques (Macaca mulatta) display these hallmarks (...)
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  100. Nikos Logothetis, In Vivo Brain Connectivity: Optimization of Manganese Enhanced MRI for Neuronal Tract Tracing.
    manganese (Mn2+) enhanced MRI (MEMRI) to study neuronal connectivity in vivo opens the possibility to these studies. However, several drawbacks exist that challenge its applicability. High Mn2+ concentrations produce cytotoxic effects that can perturb the circuits under study. In the other hand, the MR signal is..
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