Search results for 'neuroscience' (try it on Scholar)

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  1.  86
    Jim Hopkins (2016). Free Energy and Virtual Reality in Psychoanalysis and Neuroscience: A Complexity Theory of Dreaming and Mental Disorder. Frontiers in Psychology 7.
    This paper compares the free energy neuroscience now advocated by Karl Friston and his colleagues with that hypothesised by Freud, arguing that Freud's notions of conflict and trauma can be understood in terms of computational complexity. It relates Hobson and Friston's work on dreaming and the reduction of complexity to contemporary accounts of dreaming and the consolidation of memory, and advances the hypothesis that mental disorder can be understood in terms of computational complexity and the mechanisms, including synaptic pruning, (...)
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  2.  12
    Leonhard Schilbach, Bert Timmermans, Vasudevi Reddy, Alan Costall, Gary Bente, Tobias Schlicht & Kai Vogeley (2013). Toward a Second-Person Neuroscience. Behavioral and Brain Sciences 36 (4):393-414.
    In spite of the remarkable progress made in the burgeoning field of social neuroscience, the neural mechanisms that underlie social encounters are only beginning to be studied and could —paradoxically— be seen as representing the ‘dark matter’ of social neuroscience. Recent conceptual and empirical developments consistently indicate the need for investigations, which allow the study of real-time social encounters in a truly interactive manner. This suggestion is based on the premise that social cognition is fundamentally different when we (...)
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  3.  52
    M. R. Bennett (2003). Philosophical Foundations of Neuroscience. Blackwell Pub..
    In this work, two distinguished figures from neuroscience and philosophy present a detailed critical survey of the philosophical foundations of cognitive ...
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  4.  46
    Jason Shepard & Shane Reuter (2012). Neuroscience, Choice, and the Free Will Debate. American Journal of Bioethics - Neuroscience 3 (3):7-11.
    A number of scientists have recently argued that neuroscience provides strong evidence against the requirements of the folk notion of free will. In one such line of argumentation, it is claimed that choice is required for free will, and neuroscience is showing that people do not make choices. In this article, we argue that this no-choice line of argumentation relies on a specific conception of choice. We then provide evidence that people do not share the conception of choice (...)
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  5.  22
    Machiel Keestra (2012). Bounded Mirroring. Joint Action and Group Membership in Political Theory and Cognitive Neuroscience. In Frank Vandervalk (ed.), Thinking About the Body Politic: Essays on Neuroscience and Political Theory. Routledge 222--249.
    A crucial socio-political challenge for our age is how to rede!ne or extend group membership in such a way that it adequately responds to phenomena related to globalization like the prevalence of migration, the transformation of family and social networks, and changes in the position of the nation state. Two centuries ago Immanuel Kant assumed that international connectedness between humans would inevitably lead to the realization of world citizen rights. Nonetheless, globalization does not just foster cosmopolitanism but simultaneously yields the (...)
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  6.  2
    Luis H. Favela (2014). Radical Embodied Cognitive Neuroscience: Addressing “Grand Challenges” of the Mind Sciences. Frontiers in Human Neuroscience 8:01-10.
    It is becoming ever more accepted that investigations of mind span the brain, body, and environment. To broaden the scope of what is relevant in such investigations is to increase the amount of data scientists must reckon with. Thus, a major challenge facing scientists who study the mind is how to make big data intelligible both within and between fields. One way to face this challenge is to structure the data within a framework and to make it intelligible by means (...)
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  7.  52
    Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from (...)
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  8. Worth Boone & Gualtiero Piccinini (2016). The Cognitive Neuroscience Revolution. Synthese 193 (5):1509-1534.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order (...)
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  9. Eric Hochstein (2015). Giving Up on Convergence and Autonomy: Why the Theories of Psychology and Neuroscience Are Codependent as Well as Irreconcilable. Studies in History and Philosophy of Science Part A:1-19.
    There is a long-standing debate in the philosophy of mind and philosophy of science regarding how best to interpret the relationship between neuroscience and psychology. It has traditionally been argued that either the two domains will evolve and change over time until they converge on a single unified account of human behaviour, or else that they will continue to work in isolation given that they identify properties and states that exist autonomously from one another (due to the multiple-realizability of (...)
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  10.  46
    Derk Pereboom & Gregg D. Caruso (forthcoming). Hard-Incompatbilist Existentialism: Neuroscience, Punishment, and Meaning in Life. In Gregg D. Caruso & Owen Flanagan (eds.), Neuroexistentialism: Meaning, Morals, and Purpose in the Age of Neuroscience. Oxford University Press
  11.  98
    David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
    The central aim of this paper is to shed light on the nature of explanation in computational neuroscience. I argue that computational models in this domain possess explanatory force to the extent that they describe the mechanisms responsible for producing a given phenomenon—paralleling how other mechanistic models explain. Conceiving computational explanation as a species of mechanistic explanation affords an important distinction between computational models that play genuine explanatory roles and those that merely provide accurate descriptions or predictions of phenomena. (...)
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  12. Guy Kahane & Nicholas Shackel (2010). Methodological Issues in the Neuroscience of Moral Judgement. Mind and Language 25 (5):561-582.
    Neuroscience and psychology have recently turned their attention to the study of the subpersonal underpinnings of moral judgment. In this article we critically examine an influential strand of research originating in Greene's neuroimaging studies of ‘utilitarian’ and ‘non-utilitarian’ moral judgement. We argue that given that the explananda of this research are specific personal-level states—moral judgments with certain propositional contents—its methodology has to be sensitive to criteria for ascribing states with such contents to subjects. We argue that current research has (...)
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  13. Nicole A. Vincent (2010). On the Relevance of Neuroscience to Criminal Responsibility. Criminal Law and Philosophy 4 (1):77-98.
    Various authors debate the question of whether neuroscience is relevant to criminal responsibility. However, a plethora of different techniques and technologies, each with their own abilities and drawbacks, lurks beneath the label “neuroscience”; and in criminal law responsibility is not a single, unitary and generic concept, but it is rather a syndrome of at least six different concepts. Consequently, there are at least six different responsibility questions that the criminal law asks—at least one for each responsibility concept—and, I (...)
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  14. Carl F. Craver (2007). Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience. Oxford University Press, Clarendon Press.
    Carl Craver investigates what we are doing when we sue neuroscience to explain what's going on in the brain.
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  15. A. Goldman (2006). Simulating Minds: The Philosophy, Psychology, and Neuroscience of Mindreading. Oxford University Press.
    People are minded creatures; we have thoughts, feelings and emotions. More intriguingly, we grasp our own mental states, and conduct the business of ascribing them to ourselves and others without instruction in formal psychology. How do we do this? And what are the dimensions of our grasp of the mental realm? In this book, Alvin I. Goldman explores these questions with the tools of philosophy, developmental psychology, social psychology and cognitive neuroscience. He refines an approach called simulation theory, which (...)
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  16. Carl F. Craver (2002). Interlevel Experiments and Multilevel Mechanisms in the Neuroscience of Memory. Philosophy of Science Supplemental Volume 69 (3):S83-S97.
    The dominant neuroscientific theory of spatial memory is, like many theories in neuroscience, a multilevel description of a mechanism. The theory links the activities of molecules, cells, brain regions, and whole organisms into an integrated sketch of an explanation for the ability of organisms to navigate novel environments. Here I develop a taxonomy of interlevel experimental strategies for integrating the levels in such multilevel mechanisms. These experimental strategies include activation strategies, interference strategies, and additive strategies. These strategies are mutually (...)
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  17.  11
    Eddy Nahmias (forthcoming). Your Brain as the Source of Free Will Worth Wanting: Understanding Free Will in the Age of Neuroscience. In Gregg Caruso & Owen Flanagan (eds.), Neuroexistentialism: Meaning, Morals, and Purpose in the Age of Neuroscience. Oxford University Press
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  18.  56
    M. Chirimuuta (2014). Minimal Models and Canonical Neural Computations: The Distinctness of Computational Explanation in Neuroscience. Synthese 191 (2):127-153.
    In a recent paper, Kaplan (Synthese 183:339–373, 2011) takes up the task of extending Craver’s (Explaining the brain, 2007) mechanistic account of explanation in neuroscience to the new territory of computational neuroscience. He presents the model to mechanism mapping (3M) criterion as a condition for a model’s explanatory adequacy. This mechanistic approach is intended to replace earlier accounts which posited a level of computational analysis conceived as distinct and autonomous from underlying mechanistic details. In this paper I discuss (...)
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  19. Richard Dean (2010). Does Neuroscience Undermine Deontological Theory? Neuroethics 3 (1):43-60.
    Joshua Greene has argued that several lines of empirical research, including his own fMRI studies of brain activity during moral decision-making, comprise strong evidence against the legitimacy of deontology as a moral theory. This is because, Greene maintains, the empirical studies establish that “characteristically deontological” moral thinking is driven by prepotent emotional reactions which are not a sound basis for morality in the contemporary world, while “characteristically consequentialist” thinking is a more reliable moral guide because it is characterized by greater (...)
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  20.  17
    Lauren N. Ross (2015). Dynamical Models and Explanation in Neuroscience. Philosophy of Science 81 (1):32-54.
    Kaplan and Craver claim that all explanations in neuroscience appeal to mechanisms. They extend this view to the use of mathematical models in neuroscience and propose a constraint such models must meet in order to be explanatory. I analyze a mathematical model used to provide explanations in dynamical systems neuroscience and indicate how this explanation cannot be accommodated by the mechanist framework. I argue that this explanation is well characterized by Batterman’s account of minimal model explanations and (...)
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  21.  46
    Cayce Hook & Martha Farah (2013). Neuroscience for Educators: What Are They Seeking, and What Are They Finding? Neuroethics 6 (2):331-341.
    What can neuroscience offer to educators? Much of the debate has focused on whether basic research on the brain can translate into direct applications within the classroom. Accompanying ethical concern has centered on whether neuroeducation has made empty promises to educators. Relatively little investigation has been made into educators’ expectations regarding neuroscience research and how they might find it professionally useful. In order to address this question, we conducted semi-structured interviews with 13 educators who were repeat attendees of (...)
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  22. William P. Bechtel (2002). Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important? Philosophy of Science 69 (S3):S48-S58.
    The need to align multiple experimental procedures and produce converging results so as to demonstrate that the phenomenon under investigation is real and not an artifact is a commonplace both in scientific practice and discussions of scientific methodology (Campbell and Stanley 1963; Wimsatt 1981). Although sometimes this is the purpose of aligning techniques, often there is a different purpose—multiple techniques are sought to supply different perspectives on the phenomena under investigation that need to be integrated to answer the questions scientists (...)
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  23. Jeffrey S. Poland & Barbara Von Eckardt (2004). Mechanism and Explanation in Cognitive Neuroscience. Philosophy of Science 71 (5):972-984.
    The aim of this paper is to examine the usefulness of the Machamer, Darden, and Craver (2000) mechanism approach to gaining an understanding of explanation in cognitive neuroscience. We argue that although the mechanism approach can capture many aspects of explanation in cognitive neuroscience, it cannot capture everything. In particular, it cannot completely capture all aspects of the content and significance of mental representations or the evaluative features constitutive of psychopathology.
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  24. Gualtiero Piccinini (2006). Computational Explanation in Neuroscience. Synthese 153 (3):343-353.
    According to some philosophers, computational explanation is proprietary
    to psychology—it does not belong in neuroscience. But neuroscientists routinely offer computational explanations of cognitive phenomena. In fact, computational explanation was initially imported from computability theory into the science of mind by neuroscientists, who justified this move on neurophysiological grounds. Establishing the legitimacy and importance of computational explanation in neuroscience is one thing; shedding light on it is another. I raise some philosophical questions pertaining to computational explanation and outline some promising (...)
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  25.  9
    Daniel C. Burnston (forthcoming). Computational Neuroscience and Localized Neural Function. Synthese:1-22.
    In this paper I criticize a view of functional localization in neuroscience, which I call “computational absolutism”. “Absolutism” in general is the view that each part of the brain should be given a single, univocal function ascription. Traditional varieties of absolutism posit that each part of the brain processes a particular type of information and/or performs a specific task. These function attributions are currently beset by physiological evidence which seems to suggest that brain areas are multifunctional—that they process distinct (...)
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  26. Corinne Jola, Shantel Ehrenberg & Dee Reynolds (2012). The Experience of Watching Dance: Phenomenological–Neuroscience Duets. [REVIEW] Phenomenology and the Cognitive Sciences 11 (1):17-37.
    This paper discusses possible correspondences between neuroscientific findings and phenomenologically informed methodologies in the investigation of kinesthetic empathy in watching dance. Interest in phenomenology has recently increased in cognitive science (Gallagher and Zahavi 2008 ) and dance scholars have recently contributed important new insights into the use of phenomenology in dance studies (e.g. Legrand and Ravn (Phenomenology and the Cognitive Sciences 8(3):389–408, 2009 ); Parviainen (Dance Research Journal 34(1):11–26, 2002 ); Rothfield (Topoi 24:43–53, 2005 )). In vision research, coherent neural (...)
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  27. Rick Grush (2001). The Semantic Challenge to Computational Neuroscience. In Peter K. Machamer, Peter McLaughlin & Rick Grush (eds.), Theory and Method in the Neurosciences. University of Pittsburgh Press 155--172.
    I examine one of the conceptual cornerstones of the field known as computational neuroscience, especially as articulated in Churchland et al. (1990), an article that is arguably the locus classicus of this term and its meaning. The authors of that article try, but I claim ultimately fail, to mark off the enterprise of computational neuroscience as an interdisciplinary approach to understanding the cognitive, information-processing functions of the brain. The failure is a result of the fact that the authors (...)
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  28. Jim Hopkins (forthcoming). The Significance of Consilience: Psychoanalysis, Attachment, Neuroscience, and Evolution. In L. Brakel & V. Talvete (eds.), Psychoanalysis and Philosophy of Mind: Unconscious mentality in the 21st century. Karnac
    This paper considers clinical psychoanalysis together with developmental psychology (particularly attachment theory), evolution, and neuroscience in the context a Bayesian account of confirmation and disconfrimation. -/- In it I argue that these converging sources of support indicate that the combination of relatively low predictive power and broad explanatory scope that characterise the theories of both Freud and Darwin suggest that Freud's theory, like Darwin's, may strike deeply into natural phenomena. -/- The same argument, however, suggests that conclusive confirmation for (...)
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  29.  43
    Jacqueline Anne Sullivan (2015). Experimentation in Cognitive Neuroscience and Cognitive Neurobiology. In Jens Clausen Neil Levy (ed.), Handbook of Neuroethics. Springer
    Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and (...)
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  30.  40
    Gerald Walther (2013). Ethics in Neuroscience Curricula: A Survey of Australia, Canada, Germany, the UK, and the US. Neuroethics 6 (2):343-351.
    This paper analyses ethical training in neuroscience curricula at universities in Australia, Canada, Germany, the United States and the United Kingdom. The main findings are that 52 % of all courses have ethical training available, while in 82 % of those cases, the training is mandatory. In terms of specific contents of the teaching, ethical issues about ‘animal subjects and human participation in research’, ‘scientific misconduct’, and ‘treatment of data’ were the most prominent. A special emphasis during the research (...)
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  31. Jim Hopkins (2013). Understanding and Healing: Psychiatry and Psychoanalysis in the Era of Neuroscience. In FulfordW (ed.), Oxford Handbook of the Philosophy of Psychiatry.
    This paper argues that psychoanalysis enables us to see mental disorder as rooted in emotional conflicts, particularly concerning aggression, to which our species has a natural liability. These can be traced in development, and seem rooted in both parent-offspring conflict and in-group cooperation for out-group conflict. In light of this we may hope that work in psychoanalysis and neuroscience will converge in indicating the most likely paths to a better neurobiological understanding of mental disorder.
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  32. Ian Gold & Daniel Stoljar (1999). A Neuron Doctrine in the Philosophy of Neuroscience. Behavioral and Brain Sciences 22 (5):809-830.
    It is widely held that a successful theory of the mind will be neuroscientific. In this paper we ask, first, what this claim means, and, secondly, whether it is true. In answer to the first question, we argue that the claim is ambiguous between two views–one plausible but unsubstantive, and one substantive but highly controversial. In answer to the second question, we argue that neither the evidence from neuroscience itself nor from other scientific and philosophical considerations supports the controversial (...)
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  33. William P. Bechtel & Jennifer Mundale (1996). Integrating Neuroscience, Psychology, and Evolutionary Biology Through a Teleological Conception of Function. Minds and Machines 6 (4):481-505.
    The idea of integrating evolutionary biology and psychology has great promise, but one that will be compromised if psychological functions are conceived too abstractly and neuroscience is not allowed to play a contructive role. We argue that the proper integration of neuroscience, psyychology, and evolutionary biology requires a telelogical as opposed to a merely componential analysis of function. A teleological analysis is required in neuroscience itself; we point to traditional and curent research methods in neuroscience, which (...)
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  34. Jennifer Mundale & William P. Bechtel (1996). Integrating Neuroscience, Psychology, and Evolutionary Biology Through a Teleological Conception of Function. Minds and Machines 6 (4):481-505.
    The idea of integrating evolutionary biology and psychology has great promise, but one that will be compromised if psychological functions are conceived too abstractly and neuroscience is not allowed to play a contructive role. We argue that the proper integration of neuroscience, psychology, and evolutionary biology requires a telelogical as opposed to a merely componential analysis of function. A teleological analysis is required in neuroscience itself; we point to traditional and curent research methods in neuroscience, which (...)
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  35.  85
    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 205.
    Recent developments in neuroscience create new opportunities for understanding the human brain. The power to do good, however, is also the power to harm, so scientific advances inevitably foster as many dystopian fears as utopian hopes. For instance, neuroscience lends itself to the fear that people will be forced to reveal thoughts and feelings which they would not have chosen to reveal, and of which they may be unaware. It also lends itself to the worry that people will (...)
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  36.  49
    Nicholas Maxwell (1985). Methodological Problems of Neuroscience. In David Rose & Vernon Dobson (eds.), Models of the Visual Cortex. New York: John Wiley & Sons
    In this paper I argue that neuroscience has been harmed by the widespread adoption of seriously inadequate methodologies or philosophies of science - most notably inductivism and falsificationism. I argue that neuroscience, in seeking to understand the human brain and mind, needs to follow in the footsteps of evolution.
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  37. Stephen Asma, Jaak Panksepp, Rami Gabriel & Glennon Curran (2012). Philosophical Implications of Affective Neuroscience. Journal of Consciousness Studies 19 (3-4):6-48.
    These papers are based on a Symposium at the COGSCI Conference in 2010. 1. Naturalizing the Mammalian Mind 2. Modularity in Cognitive Psychology and Affective Neuroscience 3. Affective Neuroscience and the Philosophy of Self 4. Affective Neuroscience and Law.
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  38.  82
    Clancy Blair (2006). How Similar Are Fluid Cognition and General Intelligence? A Developmental Neuroscience Perspective on Fluid Cognition as an Aspect of Human Cognitive Ability. Behavioral and Brain Sciences 29 (2):109-125.
    This target article considers the relation of fluid cognitive functioning to general intelligence. A neurobiological model differentiating working memory/executive function cognitive processes of the prefrontal cortex from aspects of psychometrically defined general intelligence is presented. Work examining the rise in mean intelligence-test performance between normative cohorts, the neuropsychology and neuroscience of cognitive function in typically and atypically developing human populations, and stress, brain development, and corticolimbic connectivity in human and nonhuman animal models is reviewed and found to provide evidence (...)
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  39.  70
    Jim Hopkins (forthcoming). Kantian Neuroscience and Radical Interpretation. In Festschfrift for Mark Platts.
    This is an unedited version of a paper written in 2012 accepted for publication in a forthcoming Festschrift for Mark Platts. In it I argue that the Helmholtz/Bayes tradition of free energy neuroscience begun by Geoffrey Hinton and his colleagues, and now being carried forward by Karl Friston and his, can be seen as a fulfilment of the Quine/Davidson program of radical interpretation, and also of Quine’s conception of a naturalized epistemology. -/- This program, in turn, is rooted in (...)
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  40.  15
    Michele Farisco & Carlo Petrini (2014). On the Stand. Another Episode of Neuroscience and Law Discussion From Italy. Neuroethics 7 (2):243-245.
    After three proceedings in which neuroscience was a relevant factor for the final verdict in Italian courts, for the first time a recent case puts in question the legal relevance of neuroscientific evidence. This decision deserves international attention in its underlining that the uncertainty still affecting neuroscientific knowledge can have a significant impact on the law. It urges the consideration of such uncertainty and the development of a shared management of it.
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  41. John Bickle (2003). Philosophy and Neuroscience a Ruthlessly Reductive Account. Monograph Collection (Matt - Pseudo).
     
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  42. Gualtiero Piccinini & Carl Craver (2011). Integrating Psychology and Neuroscience: Functional Analyses as Mechanism Sketches. Synthese 183 (3):283-311.
    We sketch a framework for building a unified science of cognition. This unification is achieved by showing how functional analyses of cognitive capacities can be integrated with the multilevel mechanistic explanations of neural systems. The core idea is that functional analyses are sketches of mechanisms , in which some structural aspects of a mechanistic explanation are omitted. Once the missing aspects are filled in, a functional analysis turns into a full-blown mechanistic explanation. By this process, functional analyses are seamlessly integrated (...)
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  43.  95
    Jakob Hohwy & Christopher D. Frith (2004). Can Neuroscience Explain Consciousness? Journal of Consciousness Studies 11 (7-8):180-198.
    Cognitive neuroscience aspires to explain how the brain produces conscious states. Many people think this aspiration is threatened by the subjective nature of introspective reports, as well as by certain philosophical arguments. We propose that good neuroscientific explanations of conscious states can consolidate an interpretation of introspective reports, in spite of their subjective nature. This is because the relative quality of explanations can be evaluated on independent, methodological grounds. To illustrate, we review studies that suggest that aspects of the (...)
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  44.  26
    Stuart Henry & Dena Plemmons (2012). Neuroscience, Neuropolitics and Neuroethics: The Complex Case of Crime, Deception and fMRI. Science and Engineering Ethics 18 (3):573-591.
    Scientific developments take place in a socio-political context but scientists often ignore the ways their innovations will be both interpreted by the media and used by policy makers. In the rush to neuroscientific discovery important questions are overlooked, such as the ways: (1) the brain, environment and behavior are related; (2) biological changes are mediated by social organization; (3) institutional bias in the application of technical procedures ignores race, class and gender dimensions of society; (4) knowledge is used to the (...)
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  45.  24
    Karma Lekshe Tsomo (2012). Compassion, Ethics, and Neuroscience: Neuroethics Through Buddhist Eyes. [REVIEW] Science and Engineering Ethics 18 (3):529-537.
    As scientists advance knowledge of the brain and develop technologies to measure, evaluate, and manipulate brain function, numerous questions arise for religious adherents. If neuroscientists can conclusively establish that there is a functional network between neural impulses and an individual’s capacity for moral evaluation of situations, this will naturally lead to questions about the relationship between such a network and constructions of moral value and ethical human behavior. For example, if cognitive neuroscience can show that there is a neurophysiological (...)
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  46.  21
    Christopher J. Frost & Augustus R. Lumia (2012). The Ethics of Neuroscience and the Neuroscience of Ethics: A Phenomenological–Existential Approach. Science and Engineering Ethics 18 (3):457-474.
    Advances in the neurosciences have many implications for a collective understanding of what it means to be human, in particular, notions of the self, the concept of volition or agency, questions of individual responsibility, and the phenomenology of consciousness. As the ability to peer directly into the brain is scientifically honed, and conscious states can be correlated with patterns of neural processing, an easy—but premature—leap is to postulate a one-way, brain-based determinism. That leap is problematic, however, and emerging findings in (...)
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  47. John Bickle, Pete Mandik & Anthony Landreth, The Philosophy of Neuroscience. Stanford Encyclopedia of Philosophy.
    Over the past three decades, philosophy of science has grown increasingly “local.” Concerns have switched from general features of scientific practice to concepts, issues, and puzzles specific to particular disciplines. Philosophy of neuroscience is a natural result. This emerging area was also spurred by remarkable recent growth in the neurosciences. Cognitive and computational neuroscience continues to encroach upon issues traditionally addressed within the humanities, including the nature of consciousness, action, knowledge, and normativity. Empirical discoveries about brain structure and (...)
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  48.  53
    Daniel Ansari, Donna Coch & Bert de Smedt (2011). Connecting Education and Cognitive Neuroscience: Where Will the Journey Take Us? Educational Philosophy and Theory 43 (1):37-42.
    In recent years there have been growing calls for forging greater connections between education and cognitive neuroscience. As a consequence great hopes for the application of empirical research on the human brain to educational problems have been raised. In this article we contend that the expectation that results from cognitive neuroscience research will have a direct and immediate impact on educational practice are shortsighted and unrealistic. Instead, we argue that an infrastructure needs to be created, principally through interdisciplinary (...)
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  49. Carrie Figdor (2013). What is the “Cognitive” in Cognitive Neuroscience? Neuroethics 6 (1):105-114.
    This paper argues that the cognitive neuroscientific use of ordinary mental terms to report research results and draw implications can contribute to public confusion and misunderstanding regarding neuroscience results. This concern is raised at a time when cognitive neuroscientists are increasingly required by funding agencies to link their research to specific results of public benefit, and when neuroethicists have called for greater attention to public communication of neuroscience. The paper identifies an ethical dimension to the problem and presses (...)
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    Anne Jaap Jacobson (2003). Mental Representations: What Philosophy Leaves Out and Neuroscience Puts In. Philosophical Psychology 16 (2):189-204.
    This paper investigates how "representation" is actually used in some areas in cognitive neuroscience. It is argued that recent philosophy has largely ignored an important kind of representation that differs in interesting ways from the representations that are standardly recognized in philosophy of mind. This overlooked kind of representation does not represent by having intentional contents; rather members of the kind represent by displaying or instantiating features. The investigation is not simply an ethnographic study of the discourse of neuroscientists. (...)
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