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  1. 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 to explain (...)
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  • Can Brain Imaging Breach Our Mental Privacy?Amihud Gilead - 2015 - Review of Philosophy and Psychology 6 (2):275-291.
    Brain-imaging technologies have posed the problem of breaching our brain privacy. Until the invention of those technologies, many of us entertained the idea that nothing can threaten our mental privacy, as long as we kept it, for each of us has private access to his or her own mind but no access to any other. Yet, philosophically, the issue of private, mental accessibility appears to be quite unsettled, as there are still many philosophers who reject the idea of private, mental (...)
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  • New Research, Old Problems: Methodological and Ethical Issues in fMRI Research Examining Sex/Gender Differences in Emotion Processing.Robyn Bluhm - 2011 - 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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  • Data Mining the Brain to Decode the Mind.Daniel Weiskopf - 2020 - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New Challenges in the Philosophy of Neuroscience. Springer.
    In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I argue that (...)
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  • Productive theory-ladenness in fMRI.M. Emrah Aktunc - 2019 - Synthese 198 (9):7987-8003.
    Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to identify and (...)
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  • Productive Theory-Ladenness in fMRI.Emrah Aktunc - forthcoming - Synthese.
    Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to identify and (...)
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  • Mixtures and Psychological Inference with Resting State fMRI.Joseph McCaffrey & David Danks - 2022 - British Journal for the Philosophy of Science 73 (3):583-611.
    In this essay, we examine the use of resting state fMRI data for psychological inferences. We argue that resting state studies hold the paired promises of discovering novel functional brain networks, and of avoiding some of the limitations of task-based fMRI. However, we argue that the very features of experimental design that enable resting state fMRI to support exploratory science also generate a novel confound. We argue that seemingly key features of resting state functional connectivity networks may be artefacts resulting (...)
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  • How to read minds.Tim Bayne - 2012 - In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I know what you're thinking: brain imaging and mental privacy. Oxford: Oxford University Press. pp. 41.
    Most animals have mental states of one sort or another, but few species share our capacity for self-awareness. We are aware of our own mental states via introspection, and we are aware of the mental states of our fellow human beings on the basis of what they do and say. This chapter is not concerned with these traditional forms of mind-reading—forms whose origins predate the beginnings of recorded history—but with the prospects of a rather different and significantly more recent form (...)
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  • Double Dissociation: Understanding its Role in Cognitive Neuropsychology.Martin Davies - 2010 - Mind and Language 25 (5):500-540.
    The paper makes three points about the role of double dissociation in cognitive neuropsychology. First, arguments from double dissociation to separate modules work by inference to the best, not the only possible, explanation. Second, in the development of computational cognitive neuropsychology, the contribution of connectionist cognitive science has been to broaden the range of potential explanations of double dissociation. As a result, the competition between explanations, and the characteristic features of the assessment of theories against the criteria of probability and (...)
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  • Mapping the philosophy and neuroscience nexus through citation analysis.Eugenio Petrovich & Marco Viola - 2024 - European Journal for Philosophy of Science 14 (4):1-38.
    We provide a quantitative analysis of the philosophy-neuroscience nexus using citation analysis. Combining bibliometric indicators of cross-field visibility with journal citation mapping techniques, we investigate four dimensions of the nexus: how the visibility of neuroscience in philosophy and of philosophy in neuroscience has changed over time, which areas of philosophy are more interested in neuroscience, which areas of neuroscience are more interested in philosophy, and how the trading zone between the two fields is configured. We also discuss two hypotheses: the (...)
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  • Representational similarity analysis in neuroimaging: proxy vehicles and provisional representations.Adina L. Roskies - 2021 - Synthese 199 (3-4):5917-5935.
    Functional neuroimaging is sometimes criticized as showing only where in the brain things happen, not how they happen, and thus being unable to inform us about questions of mental and neural representation. Novel analytical methods increasingly make clear that imaging can give us access to constructs of interest to psychology. In this paper I argue that neuroimaging can give us an important, if limited, window into the large-scale structure of neural representation. I describe Representational Similarity Analysis, increasingly used in neuroimaging (...)
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  • The Future of Cognitive Neuroscience? Reverse Inference in Focus.Marco J. Nathan & Guillermo Del Pinal - 2017 - Philosophy Compass 12 (7):e12427.
    This article presents and discusses one of the most prominent inferential strategies currently employed in cognitive neuropsychology, namely, reverse inference. Simply put, this is the practice of inferring, in the context of experimental tasks, the engagement of cognitive processes from locations or patterns of neural activation. This technique is notoriously controversial because, critics argue, it presupposes the problematic assumption that neural areas are functionally selective. We proceed as follows. We begin by introducing the basic structure of traditional “location-based” reverse inference (...)
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  • Memory Systems, Processing Modes, and Components: Functional Neuroimaging Evidence.Roberto Cabeza & Morris Moscovitch - 2013 - Perspectives on Psychological Science 8:49-55.
    In the 1980s and 1990s, there was a major theoretical debate in the memory domain regarding the multiple memory systems and processing modes frameworks. The components of processing framework argued for a middle ground: Instead of neatly divided memory systems or processing modes, this framework proposed the existence of numerous processing components that are recruited in different combinations by memory tasks and yield complex patterns of associations and dissociations. Because behavioral evidence was not sufficient to decide among these three frameworks, (...)
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