Download or read book Semantic Representation in the Human Brain written by Alexander Huth and published by . This book was released on 2013 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the human sensory system is to build a useful internal representation of the world. In vision, this means that the brain categorizes and identifies all the objects and actions that are being observed. In language, it means that the brain understands the meaning of each word that is being perceived, and integrates across words to understand the meaning of a narrative. Both of these processes can be seen as extracting the meaning, or semantic content, from a dense stream of sensory information. We know very little about how the brain accomplishes these feats. Indeed, entire fields of research (computer vision and natural language processing) are devoted to reproducing on a computer feats of understanding that the human brain accomplishes with ease. We may be able to gain insight into these processes by studying how the semantic information extracted from visual and linguistic stimuli is represented in the brain. This dissertation describes three functional magnetic resonance imaging (fMRI) experiments that have helped to reveal how visual and linguistic semantic information are represented across the human cerebral cortex. These experiments relied on a relatively new fMRI analysis methodology known as voxel-wise modeling (VM). Although this methodology was developed for modeling how the brain represents the structure of visual information, it was adapted here for modeling representation of the extremely complex semantic information present in natural movies and natural narrative stories. The first experiment (Chapter 2) showed that information about object and action categories present in natural movies is represented in a low-dimensional semantic space that is shared across subjects. Projecting this semantic space across the cortex revealed that semantic information is represented in broad cortical gradients that cover a surprising amount of the cortical surface. The second experiment (Chapter 3) showed that information about the semantic content of narrative spoken stories is also represented in a low-dimensional space that is shared across subjects. To model the complex cortical maps for this semantic space a new technique was developed called PrAGMATiC (Probabilistic And Generative Model of Areas Tiling the Cortex). This new technique revealed that the cortical semantic maps can be explained by about 230 functional areas that cover much of the prefrontal cortex, temporoparietal junction, precuneus, and temporal cortex. Finally, the third experiment (Chapter 4) showed that a novel hierarchical logistic regression (HLR) model could accurately decode the categories of objects and actions present in natural movies from fMRI responses.
Download or read book Statistical Semantics written by Sverker Sikström and published by Springer Nature. This book was released on 2020-06-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.
Download or read book Neuroinformatics and Semantic Representations written by Alexander Kharlamov and published by Cambridge Scholars Publishing. This book was released on 2020-04-14 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes an approach to the analysis of information using a neural network based on neural-like elements and temporal summation of signals, which makes it possible to implement a structural approach to the analysis of information streams. Together with associative access to information, structural multilevel analysis enables the interpretation of information processing in columns of the cerebral cortex of humans. Using representations of information processing in the hippocampus, it is possible to re-construct the human model of the world and to interpret purposeful behaviour. The book describes the procedure for synchronizing the world models of various people, allowing automatic semantic analysis of unstructured text information, including construction of a semantic network of a text as its semantic portrait.
Download or read book Semantic Cognition written by Timothy T. Rogers and published by MIT Press. This book was released on 2004 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.
Download or read book Language in Our Brain written by Angela D. Friederici and published by MIT Press. This book was released on 2017-11-16 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Concepts in the Brain written by David Kemmerer and published by Oxford University Press. This book was released on 2019-02-21 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: For most native speakers of English, the meanings of ordinary words like "blue," "cup," "stumble," and "carve" seem quite natural and self-evident. It turns out, however, that they are far from universal, as shown by recent research in the discipline known as semantic typology. To be sure, the roughly 6,500 languages around the world do have many similarities in the sorts of concepts they encode. But they also vary greatly in numerous ways, such as how they partition particular conceptual domains, how they map those domains onto syntactic categories, which distinctions they force speakers to habitually attend to, and how deeply they weave certain notions into the fabric of their grammar. Although these insights from semantic typology have had a major impact on the field of psycholinguistics, they have been mostly neglected by the branch of cognitive neuroscience that studies how concepts are represented, organized, and processed in our brains. In Concepts in the Brain, David Kemmerer exposes this oversight and demonstrates its significance. He argues that as research on the neural substrates of semantic knowledge moves forward, it should, to the extent possible, expand its purview to embrace the broad spectrum of cross-linguistic variation in the lexical and grammatical representation of meaning. Otherwise, it will never be able to achieve a truly comprehensive, pan-human account of the cortical underpinnings of concepts. Richly illustrated and written in an accessible interdisciplinary style, the book begins by elaborating the different perspectives on concepts that currently exist in the parallel fields of semantic typology and cognitive neuroscience. It then shows how a synthesis of these approaches can lead to a more unified and inclusive understanding of several domains of concrete meaning--specifically, objects, actions, and spatial relations. Finally, it explores a number of intriguing and controversial issues involving the interplay between language, cognition, and consciousness.
Download or read book A Study of Semantics Across Different Representations of Language written by Dhanush Dharmaretnam and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantics is the study of meaning and here we explore it through three major representations: brain, image and text. Researchers in the past have performed various studies to understand the similarities between semantic features across all the three representations. Distributional Semantic (DS) models or word vectors that are trained on text corpora have been widely used to study the convergence of semantic information in the human brain. Moreover, they have been incorporated into various NLP applications such as document categorization, speech to text and machine translation. Due to their widespread adoption by researchers and industry alike, it becomes imperative to test and evaluate the performance of di erent word vectors models. In this thesis, we publish the second iteration of BrainBench: a system designed to evaluate and benchmark word vectors using brain data by incorporating two new Italian brain datasets collected using fMRI and EEG technology. In the second half of the thesis, we explore semantics in Convolutional Neural Network (CNN). CNN is a computational model that is the state of the art technology for object recognition from images. However, these networks are currently considered a black-box and there is an apparent lack of understanding on why various CNN architectures perform better than the other. In this thesis, we also propose a novel method to understand CNNs by studying the semantic representation through its hierarchical layers. The convergence of semantic information in these networks is studied with the help of DS models following similar methodologies used to study semantics in the human brain. Our results provide substantial evidence that Convolutional Neural Networks do learn semantics from the images, and the features learned by the CNNs correlate to the semantics of the object in the image. Our methodology and results could potentially pave the way for improved design and debugging of CNNs.
Download or read book A Computational Perspective on Visual Attention written by John K. Tsotsos and published by MIT Press. This book was released on 2021-06-22 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The derivation, exposition, and justification of the Selective Tuning model of vision and attention. Although William James declared in 1890, "Everyone knows what attention is," today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale. In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description. The result, the Selective Tuning model of vision and attention, explains attentive behavior in humans and provides a foundation for building computer systems that see with human-like characteristics. The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than 100 illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.
Download or read book The Oxford Handbook of Psycholinguistics written by M. Gareth Gaskell and published by Oxford University Press, USA. This book was released on 2007 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to communicate through spoken and written language is one of the defining characteristics of the human race, yet it remains a deeply mysterious process. The young science of psycholinguistics attempts to uncover the mechanisms and representations underlying human language. This interdisciplinary field has seen massive developments over the past decade, with a broad expansion of the research base, and the incorporation of new experimental techniques such as brain imaging and computational modelling. The result is that real progress is being made in the understanding of the key components of language in the mind. The Oxford Handbook of Psycholinguistics brings together the views of 75 leading researchers in psycholinguistics to provide a comprehensive and authoritative review of the current state of the art in psycholinguistics. With almost 50 chapters written by experts in the field, the range and depth of coverage is unequalled. The contributors are eminent in a wide range of fields, including psychology, linguistics, human memory, cognitive neuroscience, bilingualism, genetics, development and neuropsychology. Their contributions are organised into six themed sections, covering word recognition, the mental lexicon, comprehension and discourse, language production, language development, and perspectives on psycholinguistics. The breadth of coverage, coupled with the accessibility of the short chapter format should make the handbook essential reading for both students and researchers in the fields of psychology, linguistics and neuroscience.
Download or read book The Human Semantic Potential written by Terry Regier and published by MIT Press. This book was released on 1996 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural language in spatial terms. Languages differ in the ways in which they structure space, and Regier's aim is to have the model perform its learning task for terms from any natural language. The system has so far succeeded in learning spatial terms from English, German, Russian, Japanese, and Mixtec. The model views simple movies of two-dimensional objects moving relative to one another and learns to classify them linguistically in accordance with the spatial system of some natural language. The overall goal is to determine which sorts of spatial configurations and events are learnable as the semantics for spatial terms and which are not. Ultimately, the model and its theoretical underpinnings are a step in the direction of articulating biologically based constraints on the nature of human semantic systems. Along the way Regier takes up such substantial issues as the attraction and the liabilities of PDP and structured connectionist modeling, the problem of learning without direct negative evidence, and the area of linguistic universals, which is addressed in the model itself. Trained on spatial terms from different languages, the model permits observations about the possible bases of linguistic universals and interlanguage variation.
Download or read book Representation in the Brain written by Asim Roy and published by Frontiers Media SA. This book was released on 2018-09-28 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook contains ten articles on the topic of representation of abstract concepts, both simple and complex, at the neural level in the brain. Seven of the articles directly address the main competing theories of mental representation – localist and distributed. Four of these articles argue – either on a theoretical basis or with neurophysiological evidence – that abstract concepts, simple or complex, exist (have to exist) at either the single cell level or in an exclusive neural cell assembly. There are three other papers that argue for sparse distributed representation (population coding) of abstract concepts. There are two other papers that discuss neural implementation of symbolic models. The remaining paper deals with learning of motor skills from imagery versus actual execution. A summary of these papers is provided in the Editorial.
Download or read book Statistical Parametric Mapping The Analysis of Functional Brain Images written by William D. Penny and published by Elsevier. This book was released on 2011-04-28 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
Download or read book Atlas of Human Brain Connections written by Marco Catani and published by Oxford University Press, USA. This book was released on 2012-06-14 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the major challenges of modern neuroscience is to define the complex pattern of neural connections that underlie cognition and behaviour. This atlas capitalises on novel diffusion MRI tractography methods to provide a comprehensive overview of connections derived from virtual in vivo tractography dissections of the human brain.
Download or read book Language Cognition and Computational Models written by Thierry Poibeau and published by Cambridge University Press. This book was released on 2018-01-25 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
Download or read book Semantic Knowledge and Semantic Representations written by Rosaleen A. McCarthy and published by Psychology Press. This book was released on 1995 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the basis of our ability to assign meanings to words or to objects? Such questions have, until recently, been regarded as lying within the province of philosophy and linguistics rather than psychology. However, recent advances in psychology and neuropsychology have led to the development of a scientific approach to analysing the cognitive bases of semantic knowledge and semantic representations. Indeed, theory and data on the organisation and structure of semantic knowledge have now become central and hotly debated topics in contemporary psychology. This special issue of Memory brings together a series of papers from established laboratories that are at the forefront of semantic memory research. The collection includes papers presenting theoretical overviews of the field as well as papers containing new experimental findings. A variety of approaches to the problems of analysing semantic knowledge and semantic representations are included in this volume. For example, experimental studies of normal subjects are included together with neuropsychological investigations of patients with impaired semantic memory and computational models of the representation of knowledge in normality and disease. This collection will therefore be essential reading for researchers and others who are interested in memory function. It will also be of interest to cognitive scientists, linguists, philosophers and others who have puzzled over the many complex and central questions that probe the roots of our ability to understand meaning.
Download or read book Atlas of the Cerebral Sulci written by Michio Ono (M.D.) and published by Thieme. This book was released on 1990 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: An atlas devoted exclusively to the anatomical descriptions and relationships of the cortical sulci has not previously been published. Ostensibly, it would seem an insurmountable task to classify the myriad sulcal patterns that exist upon the cortical surface. However, basic recurring themes can be identified in general terms, and trends in individual variabilities can be categorized... Chad D. Abernathey, M.D.
Download or read book The Conceptual Mind written by Eric Margolis and published by MIT Press. This book was released on 2015-05-08 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of concepts has advanced dramatically in recent years, with exciting new findings and theoretical developments. Core concepts have been investigated in greater depth and new lines of inquiry have blossomed, with researchers from an ever broader range of disciplines making important contributions. In this volume, leading philosophers and cognitive scientists offer original essays that present the state-of-the-art in the study of concepts. These essays, all commissioned for this book, do not merely present the usual surveys and overviews; rather, they offer the latest work on concepts by a diverse group of theorists as well as discussions of the ideas that should guide research over the next decade.
