Results for 'Neuroscience'

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  1.  26
    Toward a Second-Person Neuroscience.Leonhard Schilbach, Bert Timmermans, Vasudevi Reddy, Alan Costall, Gary Bente, Tobias Schlicht & Kai Vogeley - 2013 - 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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  2. Your Brain as the Source of Free Will Worth Wanting: Understanding Free Will in the Age of Neuroscience.Eddy Nahmias - forthcoming - In Gregg Caruso & Owen Flanagan (eds.), Neuroexistentialism: Meaning, Morals, and Purpose in the Age of Neuroscience. Oxford University Press.
    Philosophical debates about free will have focused on determinism—a potential ‘threat from behind’ because determinism entails that there are conditions in the distant past that, in accord with the laws of nature, are sufficient for all of our decisions. Neuroscience is consistent with indeterminism, so it is better understood as posing a ‘threat from below’: If our decision-making processes are carried out by neural processes, then it might seem that our decisions are not based on our prior conscious deliberations (...)
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  3. Hard-Incompatibilist Existentialism: Neuroscience, Punishment, and Meaning in Life.Derk Pereboom & Gregg D. Caruso - 2018 - In Gregg D. Caruso & Owen Flanagan (eds.), Neuroexistentialism: Meaning, Morals, and Purpose in the Age of Neuroscience. Oxford University Press.
    As philosophical and scientific arguments for free will skepticism continue to gain traction, we are likely to see a fundamental shift in the way people think about free will and moral responsibility. Such shifts raise important practical and existential concerns: What if we came to disbelieve in free will? What would this mean for our interpersonal relationships, society, morality, meaning, and the law? What would it do to our standing as human beings? Would it cause nihilism and despair as some (...)
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  4.  58
    (May 2018 to 2014) The UNBELIEVABLE Similarities Between the Ideas of Some People (2011-2016) and My Ideas (2002-2008) in Physics (Quantum Mechanics, Cosmology), Cognitive Neuroscience, Philosophy of Mind, and Philosophy (for a REVOLUTION in Academy Environment!).Gabriel Vacariu - manuscript
    Some preliminary comments Introduction: The EDWs perspective in my article from 2005 and my book from 2008 -/- I. PHYSICS, COGNITIVE NEUROSCIENCE, PHILOSOPHY (‘REBORN DINOSAURS’ ) • (2016) Did Sean Carroll’s ideas (California Institute of Technology, USA) (within the wrong framework, the “universe”) plagiarize my ideas (2002-2010) (within the EDWs framework) on quantum mechanics, the relationship between Einstein relativity and quantum mechanics, life, the mind-brain problem, etc.? • (2016) The unbelievable similarities between Frank Wilczek’s ideas (Nobel Prize in Physics) (...)
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  5. The Cognitive Neuroscience Revolution.Worth Boone & Gualtiero Piccinini - 2016 - 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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  6.  75
    Neuroscience, Choice, and the Free Will Debate.Jason Shepard & Shane Reuter - 2012 - 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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  7.  49
    Bounded Mirroring. Joint Action and Group Membership in Political Theory and Cognitive Neuroscience.Machiel Keestra - 2012 - In Frank Vandervalk (ed.), Thinking About the Body Politic: Essays on Neuroscience and Political Theory. Routledge. pp. 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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  8.  10
    Radical Embodied Cognitive Neuroscience: Addressing “Grand Challenges” of the Mind Sciences.Luis H. Favela - 2014 - 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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  9.  60
    Neuroscience of Rule-Guided Behavior.Silvia A. Bunge & Jonathan D. Wallis (eds.) - 2008 - 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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  10.  86
    Judging Mechanistic Neuroscience: A Preliminary Conceptual-Analytic Framework for Evaluating Scientific Evidence in the Courtroom.Jacqueline Anne Sullivan & Emily Baron - 2018 - Psychology, Crime and Law (00):00-00.
    The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support (...)
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  11. Explanation and Description in Computational Neuroscience.David Michael Kaplan - 2011 - 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. Philosophical Foundations of Neuroscience.M. R. Bennett & P. M. S. Hacker - 2003 - Wiley-Blackwell.
  13. Integrating Psychology and Neuroscience: Functional Analyses as Mechanism Sketches.Gualtiero Piccinini & Carl Craver - 2011 - 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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  14.  94
    Dynamical Models and Explanation in Neuroscience.Lauren N. Ross - 2015 - Philosophy of Science 82 (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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  15.  86
    Minimal Models and Canonical Neural Computations: The Distinctness of Computational Explanation in Neuroscience.M. Chirimuuta - 2014 - 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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  16. Interlevel Experiments and Multilevel Mechanisms in the Neuroscience of Memory.Carl F. Craver - 2002 - 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. Methodological Issues in the Neuroscience of Moral Judgement.Guy Kahane & Nicholas Shackel - 2010 - 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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  18. Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience.Carl F. Craver - 2007 - 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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  19. Simulating Minds: The Philosophy, Psychology, and Neuroscience of Mindreading.Alvin I. Goldman - 2006 - Oxford University Press USA.
    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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  20. Philosophy and Neuroscience a Ruthlessly Reductive Account.John Bickle - 2003
     
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  21. Empathy at the Confluence of Neuroscience and Empirical Literary Studies.Michael Burke, Anezka Kuzmicova, Anne Mangen & Theresa Schilhab - 2016 - Scientific Study of Literature 6 (1):6-41.
    The objective of this article is to review extant empirical studies of empathy in narrative reading in light of (i) contemporary literary theory, and (ii) neuroscientific studies of empathy, and to discuss how a closer interplay between neuroscience and literary studies may enhance our understanding of empathy in narrative reading. An introduction to some of the philosophical roots of empathy is followed by tracing its application in contemporary literary theory, in which scholars have pursued empathy with varying degrees of (...)
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  22. Giving Up on Convergence and Autonomy: Why the Theories of Psychology and Neuroscience Are Codependent as Well as Irreconcilable.Eric Hochstein - 2015 - 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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  23. Libet-Style Experiments, Neuroscience, and Libertarian Free Will.Marcelo Fischborn - 2016 - Philosophical Psychology 29 (4):494-502.
    People have disagreed on the significance of Libet-style experiments for discussions about free will. In what specifically concerns free will in a libertarian sense, some argue that Libet-style experiments pose a threat to its existence by providing support to the claim that decisions are determined by unconscious brain events. Others disagree by claiming that determinism, in a sense that conflicts with libertarian free will, cannot be established by sciences other than fundamental physics. This paper rejects both positions. First, it is (...)
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  24. Does Neuroscience Undermine Deontological Theory?Richard Dean - 2010 - 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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  25. Free Energy and Virtual Reality in Psychoanalysis and Neuroscience: A Complexity Theory of Dreaming and Mental Disorder.Jim Hopkins - 2016 - 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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  26. Computational Explanation in Neuroscience.Gualtiero Piccinini - 2006 - 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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  27.  26
    Computational Neuroscience and Localized Neural Function.Daniel C. Burnston - 2016 - Synthese 193 (12):3741-3762.
    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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  28.  12
    The Love of Neuroscience: A Sociological Account.Gabriel Abend - 2018 - Sociological Theory 36 (1):88-116.
    I make a contribution to the sociology of epistemologies by examining the neuroscience literature on love from 2000 to 2016. I find that researchers make consequential assumptions concerning the production or generation of love, its temporality, its individual character, and appropriate control conditions. Next, I consider how to account for these assumptions’ being common in the literature. More generally, I’m interested in the ways in which epistemic communities construe, conceive of, and publicly represent and work with their objects of (...)
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  29.  98
    Neuroscience for Educators: What Are They Seeking, and What Are They Finding?Cayce Hook & Martha Farah - 2013 - 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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  30.  72
    Selected Effects and Causal Role Functions in the Brain: The Case for an Etiological Approach to Neuroscience.Justin Garson - 2011 - Biology and Philosophy 26 (4):547-565.
    Despite the voluminous literature on biological functions produced over the last 40 years, few philosophers have studied the concept of function as it is used in neuroscience. Recently, Craver (forthcoming; also see Craver 2001) defended the causal role theory against the selected effects theory as the most appropriate theory of function for neuroscience. The following argues that though neuroscientists do study causal role functions, the scope of that theory is not as universal as claimed. Despite the strong prima (...)
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  31.  22
    Can Neuroscience Contribute to Practical Ethics? A Critical Review and Discussion of the Methodological and Translational Challenges of the Neuroscience of Ethics.Eric Racine, Veljko Dubljević, Ralf J. Jox, Bernard Baertschi, Julia F. Christensen, Michele Farisco, Fabrice Jotterand, Guy Kahane & Sabine Müller - 2017 - Bioethics 31 (5):328-337.
    Neuroethics is an interdisciplinary field that arose in response to novel ethical challenges posed by advances in neuroscience. Historically, neuroethics has provided an opportunity to synergize different disciplines, notably proposing a two-way dialogue between an ‘ethics of neuroscience’ and a ‘neuroscience of ethics’. However, questions surface as to whether a ‘neuroscience of ethics’ is a useful and unified branch of research and whether it can actually inform or lead to theoretical insights and transferable practical knowledge to (...)
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  32. Cognitive Neuroscience and Animal Consciousness.Matteo Grasso - 2014 - In Sofia Bonicalzi, Leonardo Caffo & Mattia Sorgon (eds.), Naturalism and Constructivism in Metaethics. Newcastle Upon Tyne, UK: Cambridge Scholars Press. pp. 182-203.
    The problem of animal consciousness has profound implications on our concept of nature and of our place in the natural world. In philosophy of mind and cognitive neuroscience the problem of animal consciousness raises two main questions (Velmans, 2007): the distribution question (“are there conscious animals beside humans?”) and the phenomenological question (“what is it like to be a non-human animal?”). In order to answer these questions, many approaches take into account similarities and dissimilarities in animal and human behavior, (...)
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  33. Integrating Neuroscience, Psychology, and Evolutionary Biology Through a Teleological Conception of Function.Jennifer Mundale & William P. Bechtel - 1996 - 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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  34. Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important?William Bechtel - 2002 - 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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  35.  21
    On the Stand. Another Episode of Neuroscience and Law Discussion From Italy.Michele Farisco & Carlo Petrini - 2014 - 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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  36.  97
    Methodological Problems of Neuroscience.Nicholas Maxwell - 1985 - In David Rose & Vernon Dobson (eds.), Models of the Visual Cortex. New York: Wiley.
    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. A Neuron Doctrine in the Philosophy of Neuroscience.Ian Gold & Daniel Stoljar - 1999 - 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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  38. How Similar Are Fluid Cognition and General Intelligence? A Developmental Neuroscience Perspective on Fluid Cognition as an Aspect of Human Cognitive Ability.Blair Clancy - 2006 - 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. Can Neuroscience Explain Consciousness?Jakob Hohwy & Christopher D. Frith - 2004 - 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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  40.  13
    Neuroscience and the Possibility of Locally Determined Choices: Reply to Adina Roskies and Eddy Nahmias.Marcelo Fischborn - 2017 - Philosophical Psychology 30 (1-2):198-201.
    In a previous paper, I argued that neuroscience and psychology could in principle undermine libertarian free will by providing support for a subset of what I called “statements of local determination.” I also argued that Libet-style experiments have not so far supported statements of that sort. In a commentary to the paper, Adina Roskies and Eddy Nahmias accept the claim about Libet-style experiments, but reject the claim about the possibilities of neuroscience. Here, I explain why I still disagree (...)
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  41. The Experience of Watching Dance: Phenomenological–Neuroscience Duets. [REVIEW]Corinne Jola, Shantel Ehrenberg & Dee Reynolds - 2012 - 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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  42.  67
    Connecting Education and Cognitive Neuroscience: Where Will the Journey Take Us?Daniel Ansari, Donna Coch & Bert de Smedt - 2011 - 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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  43. The Semantic Challenge to Computational Neuroscience.Rick Grush - 2001 - In Peter K. Machamer, Peter McLaughlin & Rick Grush (eds.), Theory and Method in the Neurosciences. University of Pittsburgh Press. pp. 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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  44. Mechanism and Explanation in Cognitive Neuroscience.Jeffrey S. Poland & Barbara Von Eckardt - 2004 - 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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  45.  30
    Steps Towards a Critical Neuroscience.Jan Slaby - 2010 - Phenomenology and the Cognitive Sciences 9 (3):397-416.
    This paper introduces the motivation and idea behind the recently founded interdisciplinary initiative Critical Neuroscience ( http://www.critical-neuroscience.org ). Critical Neuroscience is an approach that strives to understand, explain, contextualize, and, where called for, critique developments in and around the social, affective, and cognitive neurosciences with the aim to create the competencies needed to responsibly deal with new challenges and concerns emerging in relation to the brain sciences. It addresses scholars in the humanities as well as, importantly, neuroscientific (...)
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  46. The Significance of Consilience: Psychoanalysis, Attachment, Neuroscience, and Evolution.Jim Hopkins - forthcoming - 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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  47.  47
    Ethics in Neuroscience Curricula: A Survey of Australia, Canada, Germany, the UK, and the US.Gerald Walther - 2013 - 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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  48. Philosophical Implications of Affective Neuroscience.Stephen Asma, Jaak Panksepp, Rami Gabriel & Glennon Curran - 2012 - 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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  49. Neuroscience V. Privacy? : A Democratic Perspective.Annabelle Lever - 2012 - In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press. pp. 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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  50. Understanding and Healing: Psychiatry and Psychoanalysis in the Era of Neuroscience.Jim Hopkins - 2013 - In FulfordW (ed.), Oxford Handbook of the Philosophy of Psychiatry. Oxford University Press.
    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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