This text provides students and researchers with a foundation for examining how brain function gives rise to mental activities such as perception, memory and language. It is grouped into sections that cover attention, vision, auditory and somatosensory systems, memory and higher cortical.

Discover how the creative brain works across musical, literary, visual artistic, kinesthetic and scientific spheres, and how to study it.

The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.

Language is one of our most precious and uniquely human capacities, so it is not surprising that research on its neural substrates has been advancing quite rapidly in recent years. Until now, however, there has not been a single introductory textbook that focuses specifically on this topic. Cognitive Neuroscience of Language fills that gap by providing an up-to-date, wide-ranging, and pedagogically practical survey of the most important developments in the field. It guides students through all of the major areas of investigation, beginning with fundamental aspects of brain structure and function, and then proceeding to cover aphasia syndromes, the perception and production of speech, the processing of language in written and signed modalities, the meanings of words, and the formulation and comprehension of complex expressions, including grammatically inflected words, complete sentences, and entire stories. Drawing heavily on prominent theoretical models, the core chapters illustrate how such frameworks are supported, and sometimes challenged, by experiments employing diverse brain mapping techniques. Although much of the content is inherently challenging and intended primarily for graduate or upper-level undergraduate students, it requires no previous knowledge of either neuroscience or linguistics, defining technical terms and explaining important principles from both disciplines along the way.

Frontiers in Cognitive Neuroscienceis the first book of extensive readings in an exciting new field that is built on the assumption that "the mind is what the brain does," and that seeks to understand how brain function gives rise to mental activities such as perception, memory, and language. The editors, a cognitive scientist and a neuroscientist, have worked together to select contributions that provide the interdisciplinary foundations of this emerging field, putting them into context, both historically and with regard to current issues. Fifty-five articles are grouped in sections that cover attention, vision, auditory and somatosensory systems, memory, and higher cortical functions. They range from Gazzaniga and Bogen's discussion of functional effects of sectioning the cerebral commissure in man and Geschwind's classic study of the organization of language in the brain, published in the 1960s, to contemporary investigations by Schiller and Logothetis on color-opponent and broad-band channels of the primate visual system and by Bekkers and Stevens on presynaptic mechanisms for long-term potentiation in the hippocampus. The editors have provided both a general introduction and introductions to each of the five major sections. Stephen Kosslyn is Professor of Psychology at Harvard University. Richard Andersen is Professor of Neuroscience and Director of the McDonnell-Pew Center for Cognitive Neuroscience at the Massachusetts Institute of Technology.

This book provides an overview of cutting-edge methods currently being used in cognitive psychology, which are likely to appear with increasing frequency in coming years. Once built around univariate parametric statistics, cognitive psychology courses now seem deficient without some contact with methods for signal processing, spatial statistics, and machine learning. There are also important changes in analyses of behavioral data (e.g., hierarchical modeling and Bayesian inference) and there is the obvious change wrought by the advancement of functional imaging. This book begins by discussing the evidence of this rapid change, for example the movement between using traditional analyses of variance to multi-level mixed models, in psycholinguistics. It then goes on to discuss the methods for analyses of physiological measurements, and how these methods provide insights into cognitive processing. New Methods in Cognitive Psychology provides senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, and the very latest in theory and research for the more established topics.