Mind, Brain, and Language


Book Description

Much of the groundbreaking work in many fields is now occurring at the intersection of traditional academic disciplines. This development is well demonstrated in this important and unique volume, which offers a multidisciplinary view of current findings and cutting-edge issues involving the relationship between mind, brain, and language. Marie T. Banich and Molly Mack have edited a collection of 11 invited chapters from top researchers (and have contributed two of their own chapters) to create a volume organized around five major topics--language emergence, influence, and development; models of language and language processing; the neurological bases of language; language disruption and loss; and dual-language systems. Topics range from the evolution of language and child-language acquisition to brain imaging and the "bilingual brain." To maintain continuity throughout, care has been taken to ensure that the chapters have been written in a style accessible to scholars across many disciplines, from anthropology and psycholinguistics to cognitive science and neurobiology. Because of its depth and breadth, this book is appropriate both as a textbook in a variety of undergraduate and graduate-level courses and as a valuable resource for researchers and scholars interested in further understanding the background of and current developments in our understanding of the mind/brain/language relationship.




The Languages of the Brain


Book Description

The only way we can convey our thoughts to another person is through verbal language. Does this imply that our thoughts ultimately rely on words? This text takes the contrary position, arguing that many possible 'languages of thought' play different roles in the life of the mind.




Image, Language, Brain


Book Description

The papers in this volume discuss the current status of the cognitive/neuroscience synthesis in research on vision, whether and how linguistics and neuroscience can be integrated, and how integrative brain mechanisms can be studied through the use of noninvasive brain-imaging techniques. Recent attempts to unify linguistic theory and brain science have grown out of recognition that a proper understanding of language in the brain must reflect the steady advances in linguistic theory of the last forty years. The first Mind Articulation Project Symposium addressed two main questions: How can the understanding of language from linguistic research be transformed through the study of the biological basis of language? And how can our understanding of the brain be transformed through this same research? The best model so far of such mutual constraint is research on vision. Indeed, the two long-term goals of the Project are to make linguistics and brain science mutually constraining in the way that has been attempted in the study of the visual system and to formulate a cognitive theory that more strongly constrains visual neuroscience. The papers in this volume discuss the current status of the cognitive/neuroscience synthesis in research on vision, whether and how linguistics and neuroscience can be integrated, and how integrative brain mechanisms can be studied through the use of noninvasive brain-imaging techniques. Contributors Noam Chomsky, Ann Christophe, Robert Desimone, Richard Frackowiak, Angela Friederici, Edward Gibson, Peter Indefrey, Masao Ito, Willem Levelt, Alec Marantz, Jacques Mehler, Yasushi Miyashita, David Poeppel, Franck Ramus, John Reynolds, Kensuke Sekihara, Hiroshi Shibasaki




Merge in the Mind-Brain


Book Description

Cover -- Title -- Copyright -- Contents -- Original Publication Details -- Introduction -- Part I Merge in the Mind -- 1 Merge and Bare Phrase Structure -- 2 Merge and (A)symmetry -- 3 Generalized Search and Cyclic Derivation by Phase: A Preliminary Study -- 4 Merge, Labeling, and Projection -- 5 A Note on Weak vs. Strong Generation in Human Language -- 6 0-Search and 0-Merge -- Part II Merge in the Brain -- 7 The Cortical Dynamics in Building Syntactic Structures of Sentences: An MEG Study in a Minimal-Pair Paradigm -- 8 Syntactic Computation in the Human Brain: The Degree of Merger as a Key Factor -- 9 Computational Principles of Syntax in the Regions Specialized for Language: Integrating Theoretical Linguistics and Functional Neuroimaging -- Bibliography -- Author Index -- Subject Index




Music, Language, and the Brain


Book Description

In the first comprehensive study of the relationship between music and language from the standpoint of cognitive neuroscience, Aniruddh D. Patel challenges the widespread belief that music and language are processed independently. Since Plato's time, the relationship between music and language has attracted interest and debate from a wide range of thinkers. Recently, scientific research on this topic has been growing rapidly, as scholars from diverse disciplines, including linguistics, cognitive science, music cognition, and neuroscience are drawn to the music-language interface as one way to explore the extent to which different mental abilities are processed by separate brain mechanisms. Accordingly, the relevant data and theories have been spread across a range of disciplines. This volume provides the first synthesis, arguing that music and language share deep and critical connections, and that comparative research provides a powerful way to study the cognitive and neural mechanisms underlying these uniquely human abilities. Winner of the 2008 ASCAP Deems Taylor Award.




Neuroscience and Philosophy


Book Description

In Neuroscience and Philosophy three prominent philosophers and a leading neuroscientist clash over the conceptual presuppositions of cognitive neuroscience. The book begins with an excerpt from Maxwell Bennett and Peter Hacker's Philosophical Foundations of Neuroscience (Blackwell, 2003), which questions the conceptual commitments of cognitive neuroscientists. Their position is then criticized by Daniel Dennett and John Searle, two philosophers who have written extensively on the subject, and Bennett and Hacker in turn respond. Their impassioned debate encompasses a wide range of central themes: the nature of consciousness, the bearer and location of psychological attributes, the intelligibility of so-called brain maps and representations, the notion of qualia, the coherence of the notion of an intentional stance, and the relationships between mind, brain, and body. Clearly argued and thoroughly engaging, the authors present fundamentally different conceptions of philosophical method, cognitive-neuroscientific explanation, and human nature, and their exchange will appeal to anyone interested in the relation of mind to brain, of psychology to neuroscience, of causal to rational explanation, and of consciousness to self-consciousness. In his conclusion Daniel Robinson (member of the philosophy faculty at Oxford University and Distinguished Professor Emeritus at Georgetown University) explains why this confrontation is so crucial to the understanding of neuroscientific research. The project of cognitive neuroscience, he asserts, depends on the incorporation of human nature into the framework of science itself. In Robinson's estimation, Dennett and Searle fail to support this undertaking; Bennett and Hacker suggest that the project itself might be based on a conceptual mistake. Exciting and challenging, Neuroscience and Philosophy is an exceptional introduction to the philosophical problems raised by cognitive neuroscience.




Birdsong, Speech, and Language


Book Description

Scholars have long been captivated by the parallels between birdsong and human speech and language. In this book, leading scholars draw on the latest research to explore what birdsong can tell us about the biology of human speech and language and the consequences for evolutionary biology. They examine the cognitive and neural similarities between birdsong learning and speech and language acquisition, considering vocal imitation, auditory learning, an early vocalization phase ("babbling"), the structural properties of birdsong and human language, and the striking similarities between the neural organization of learning and vocal production in birdsong and human speech. After outlining the basic issues involved in the study of both language and evolution, the contributors compare birdsong and language in terms of acquisition, recursion, and core structural properties, and then examine the neurobiology of song and speech, genomic factors, and the emergence and evolution of language.




Language in Our Brain


Book Description

A comprehensive account of the neurobiological basis of language, arguing that species-specific brain differences may be at the root of the human capacity for language. Language makes us human. It is an intrinsic part of us, although we seldom think about it. Language is also an extremely complex entity with subcomponents responsible for its phonological, syntactic, and semantic aspects. In this landmark work, Angela Friederici offers a comprehensive account of these subcomponents and how they are integrated. Tracing the neurobiological basis of language across brain regions in humans and other primate species, she argues that species-specific brain differences may be at the root of the human capacity for language. Friederici shows which brain regions support the different language processes and, more important, how these brain regions are connected structurally and functionally to make language processes that take place in milliseconds possible. She finds that one particular brain structure (a white matter dorsal tract), connecting syntax-relevant brain regions, is present only in the mature human brain and only weakly present in other primate brains. Is this the “missing link” that explains humans' capacity for language? Friederici describes the basic language functions and their brain basis; the language networks connecting different language-related brain regions; the brain basis of language acquisition during early childhood and when learning a second language, proposing a neurocognitive model of the ontogeny of language; and the evolution of language and underlying neural constraints. She finds that it is the information exchange between the relevant brain regions, supported by the white matter tract, that is the crucial factor in both language development and evolution.




Human Language


Book Description

A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling, neuroimaging, and genetic sequencing have made possible new approaches to the study of language, and the contributors draw on these developments. The book examines cognitive architectures, investigating the functional organization of the major language skills; learning and development trajectories, summarizing the current understanding of the steps and neurocognitive mechanisms in language processing; evolutionary and other preconditions for communication by means of natural language; computational tools for modeling language; cognitive neuroscientific methods that allow observations of the human brain in action, including fMRI, EEG/MEG, and others; the neural infrastructure of language capacity; the genome's role in building and maintaining the language-ready brain; and insights from studying such language-relevant behaviors in nonhuman animals as birdsong and primate vocalization. Section editors Christian F. Beckmann, Carel ten Cate, Simon E. Fisher, Peter Hagoort, Evan Kidd, Stephen C. Levinson, James M. McQueen, Antje S. Meyer, David Poeppel, Caroline F. Rowland, Constance Scharff, Ivan Toni, Willem Zuidema




Models of the Mind


Book Description

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.