Neural Machines A Defense Of Non Representationalism In Cognitive Neuroscience
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Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience
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.
Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience
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.
Neuroscience Without Representations
Neuroscience Without Representations: Building a Brain-in-a-World View describes a non-representational characterization of the brain that also provides an accounting on how humans can rely on symbolic systems and its conditions of application to deal with the representational requirements of human knowledge. Applying an evolutionary perspective to cognition, as well as assuming certain tenets from what is known as “4E cognition (embodied, embedded, extended, and enactive cognition theories), this volume presents arguments to support a non-representational view of the brain while also outlining how non-representational brains can nevertheless be representationally knowledgeable. As both views in isolation have limitations, Dr. Vilarroya takes these ideas in a combined approach that is supported upon detailed analyses of compelling recent studies. Further, this presents a detailed guide on how to implement the alternative notion of neural representation in a research plan. Readers will gain a better understanding of the centrality of the notion of representation in neuroscientific theories and what it means for a brain to represent something, what makes a neural activity a representation, and what is represented. Presents original arguments to support a non-representational view of the brain and outlines how non-representational brains can also be representationally knowledgeable Describes the basics of an alternative to the notion of neural representation Details the reasons underlying the unsuitability of notion of neural representation to address the brain as a cognitive organ Offers detailed analyses of relevant studies from a variety of fields, including cognitive neuroscience, evolutionary biology, behavioral sciences and biological anthropology Provides details to help guide design, implementation and interpretation of empirical studies in this field