Perspectives in Brain Research

First multi-year cumulation covers six years: 1965-70.

Progress in Brain Research series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Progress of Brain Research series - Updated release includes the latest information on the Imagining the Brain: Episodes in the Visual History of Brain Research

This book includes research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organisation of the neural systems supporting human behaviour. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Coverage includes novel brain imaging methods, analyses for detecting or localising neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioural paradigms and neural-systems modelling.

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

Perspectives on Addiction presents a comprehensive, rigorous, and reflective overview of the complex and controversial field of chemical dependency. It is designed for students and clinicians who come in contact with and treat individuals and families struggling with the causes and consequences of substance use disorders. The user-friendly approach to serious content encourages active participation in the learning experience and is designed to have a personal, professional, educational and treatment impact. Readers will develop a novel appreciation for a human desire that pleasures, confounds, and destroys.

Brain Research in Language addresses important neurological issues involved in reading. The reading process is a highly composite cognitive task, which relies on brain systems that were originally devoted to other functions. The majority of studies in this area have used behavioral methodologies. This book presents data obtained from studies employing behavioral, electrophysiological and imaging methodologies focusing on the regular reading process and the dyslexic population.

Issues in Brain and Cognition Research / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Brain and Cognition Research. The editors have built Issues in Brain and Cognition Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Brain and Cognition Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Brain and Cognition Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.