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  1. The exploratory dimension of fmri experiments.A. Nicolás Venturelli - 2021 - Manuscrito 44 (1):1-36.
    Driven by an appreciation of the field’s early stage of development, I apply the concept of exploratory experimentation, originally put forward in the late 90s philosophy of biology, to current research in cognitive neuroscience. I concentrate on functional magnetic resonance imaging and how this wide-spread technique is used, from experimental design to data analysis. I claim that, although subject to certain significant modifications with respect to the concept’s original rendering, the exploratory character of neuroimaging experiments can be appreciated considering their (...)
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  • Administrative social science data: The challenge of reproducible research.Alasdair J. G. Gray, Roxanne Connelly, Vernon Gayle & Christopher J. Playford - 2016 - Big Data and Society 3 (2).
    Powerful new social science data resources are emerging. One particularly important source is administrative data, which were originally collected for organisational purposes but often contain information that is suitable for social science research. In this paper we outline the concept of reproducible research in relation to micro-level administrative social science data. Our central claim is that a planned and organised workflow is essential for high quality research using micro-level administrative social science data. We argue that it is essential for researchers (...)
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  • Adolescent Emotional Maturation through Divergent Models of Brain Organization.Jose V. Oron Semper, Jose I. Murillo & Javier Bernacer - 2016 - Frontiers in Psychology 7.
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  • Cognitive? Science?J. Ignacio Serrano, M. Dolores del Castillo & Manuel Carretero - 2014 - Foundations of Science 19 (2):115-131.
    Cognitive Science is a promising field of research that deals with one of the most fundamental questions ever: how do beings know? However, despite the long and extensive tradition of the field it has not yet become an area of knowledge with scientific identity. This is primarily due to three reasons: the lack of boundaries in defining the object of study, i.e. cognition, the lack of a precise, robust and consistent scientific methodology and results, and the inner problems derived from (...)
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  • A nexus model of the temporal–parietal junction.R. McKell Carter & Scott A. Huettel - 2013 - Trends in Cognitive Sciences 17 (7):328-336.
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  • What Should Be the Data Sharing Policy of Cognitive Science?Mark A. Pitt & Yun Tang - 2013 - Topics in Cognitive Science 5 (1):214-221.
    There is a growing chorus of voices in the scientific community calling for greater openness in the sharing of raw data that lead to a publication. In this commentary, we discuss the merits of sharing, common concerns that are raised, and practical issues that arise in developing a sharing policy. We suggest that the cognitive science community discuss the topic and establish a data-sharing policy.
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  • Précis on The Cognitive-Emotional Brain.Luiz Pessoa - 2015 - Behavioral and Brain Sciences 38:e71.
    InThe Cognitive-Emotional Brain(Pessoa 2013), I describe the many ways that emotion and cognition interact and are integrated in the brain. The book summarizes five areas of research that support this integrative view and makes four arguments to organize each area. (1) Based on rodent and human data, I propose that the amygdala's functions go beyond emotion as traditionally conceived. Furthermore, the processing of emotion-laden information is capacity limited, thus not independent of attention and awareness. (2) Cognitive-emotional interactions in the human (...)
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  • In Defense of Reverse Inference.Edouard Machery - 2014 - British Journal for the Philosophy of Science 65 (2):251-267.
    Reverse inference is the most commonly used inferential strategy for bringing images of brain activation to bear on psychological hypotheses, but its inductive validity has recently been questioned. In this article, I show that, when it is analyzed in likelihoodist terms, reverse inference does not suffer from the problems highlighted in the recent literature, and I defend the appropriateness of treating reverse inference in these terms. 1 Introduction2 Reverse Inference3 Reverse Inference Defended3.1 Typical reverse inferences are fallacious3.2 No quick and (...)
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