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This book introduces readers to the state-of-the-art neuroscientific research that is revolutionizing our understanding of language. Interest in the brain bases of language goes back to the birth of the modern neurosciences in the late nineteenth century. Today, tools such as fMRI and EEG allow us to study brain activity non-invasively as people perform complex cognitive tasks like talking or reading. In this book, Jonathan Brennan shows how brain signals are connected with the intricate cognitive structures that underlie human language. Each chapter focuses on specific insights including the…mehr

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Produktbeschreibung
This book introduces readers to the state-of-the-art neuroscientific research that is revolutionizing our understanding of language. Interest in the brain bases of language goes back to the birth of the modern neurosciences in the late nineteenth century. Today, tools such as fMRI and EEG allow us to study brain activity non-invasively as people perform complex cognitive tasks like talking or reading. In this book, Jonathan Brennan shows how brain signals are connected with the intricate cognitive structures that underlie human language. Each chapter focuses on specific insights including the neural codes for speech perception, meaning, and sentence structure. The book also explores larger themes such as how to connect abstract notions like "knowing a language" to concrete signals that are measured in a laboratory, and how to reconcile apparently conflicting pieces of data that arise from different experiments. Written in an accessible, conversational style, and featuring a glossary of key terms, this slim guide will appeal to a wide range of readers interested in how the human brain allows us to use language.

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Autorenporträt
Jonathan R. Brennan is Associate Professor of Linguistics and Psychology at the University of Michigan. He is the Director of the Computational Neurolinguistics Laboratory, which uses theories and models from formal linguistics, cognitive neuroscience, and computational linguistics to study the mental structures and computations used to understand words and sentences. He received the 2019 Early Career Award from the Society for the Neurobiology of Language.