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  1. Frances Egan (forthcoming). Function-Theoretic Explanation and Neural Mechanisms. In David M. Kaplan (ed.), Integrating Mind and Brain Science: Mechanistic Perspectives and Beyond.
    A common kind of explanation in cognitive neuroscience might be called function-theoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...)
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  2. Miriam Kyselo (2013). Enaktivismus. In A. Stephan & S. Walter (eds.), Handbuch Kognitionswissenschaft. J.B. Metzler.
  3. Gabriel Vacariu (2013). Troubles with Cognitive Neuroscience. Philosophia Scientiæ 17:151-170.
    In few words, we present the main actual problems of cognitive neuroscience: the binding problem, localization, differentiation–integration in the brain, the troubles created by the brain imaging, and optimism vs. skepticism in cognitive neuroscience. Surprisingly, even if there are more and more experimental results in recent years, we notice no real hope for solving these troubles in the future. Cognitive neuroscience is a science constructed on “correlations” between mental and neuronal states, mainly furnished by the brain imaging—fMRI of the last (...)
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  4. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Press.
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentiation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. I want to show that these problems are pseudo-problems and this “science” has “No ontology landscape”.
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  5. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Publishing Company.
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. The conclusion is that this “science” has “No ontology landscape” and, therefore, cognitive neuroscience is a pseudo-science.
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  6. Orlin Vakarelov (2011). The Cognitive Agent: Overcoming Informational Limits. Adaptive Behavior 19 (2):83-100.
    This article provides an answer to the question: What is the function of cognition? By answering this question it becomes possible to investigate what are the simplest cognitive systems. It addresses the question by treating cognition as a solution to a design problem. It defines a nested sequence of design problems: (1) How can a system persist? (2) How can a system affect its environment to improve its persistence? (3) How can a system utilize better information from the environment to (...)
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