Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience / Studies in Brain and Mind Bd.22 (PDF)
(Sprache: Englisch)
In this book, Matej Kohar demonstrates how the new mechanistic account of explanation can be used to support a non-representationalist view of explanations in cognitive neuroscience, and therefore can bring new conceptual tools to the...
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In this book, Matej Kohar demonstrates how the new mechanistic account of explanation can be used to support a non-representationalist view of explanations in cognitive neuroscience, and therefore can bring new conceptual tools to the non-representationalist arsenal. Kohar focuses on the explanatory relevance of representational content in constitutive mechanistic explanations typical in cognitive neuroscience. The work significantly contributes to two areas of literature: 1) the debate between representationalism and non-representationalism, and 2) the literature on mechanistic explanation.
Kohar begins with an introduction to the mechanistic theory of explanation, focusing on the analysis of mechanistic constitution as the basis of explanatory relevance in constitutive mechanistic explanation. He argues that any viable analysis of representational contents implies that content is not constitutively relevant to cognitive phenomena. The author also addresses objections against his argument and concludes with an examination of the consequences of his account for both traditional cognitive neuroscience and non-representationalist alternatives. This book is of interest to readers in philosophy of mind, cognitive science and neuroscience.
Autoren-Porträt von Matej Kohár
Matej Kohar is Research Assistant at the Technical University in Berlin, Germany. He earned a BA in Philosophy from the University of Exeter, an MSc in Mind, Language and Embodied Cognition from The University of Edinburgh and has defended a doctoral thesis in Philosophy at the Ruhr-University Bochum in October 2020.
Bibliographische Angaben
- Autor: Matej Kohár
- 2023, 2023, 198 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 303126746X
- ISBN-13: 9783031267468
- Erscheinungsdatum: 09.03.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 5.25 MB
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Englisch
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