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MICHAEL S. GAZZANIGA The investigation of the human brain and mind involves a myriad of ap proaches. Cognitive neuroscience has grown out of the appreciation that these approaches have common goals that are separate from other goals in the neural sciences. By identifying cognition as the construct of interest, cognitive neuro science limits the scope of investigation to higher mental functions, while simultaneously tackling the greatest complexity of creation, the human mind. The chapters of this collection have their common thread in cognitive neuroscience. They attack the major cognitive processes using functional stud ies in humans. Indeed, functional measures of human sensation, perception, and cognition are the keystone of much of the neuroscience of cognitive sci ence, and event-related potentials (ERPs) represent a methodological "coming of age" in the study of the intricate temporal characteristics of cognition. Moreover, as the field of cognitive ERPs has matured, the very nature of physiology has undergone a significant revolution. It is no longer sufficient to describe the physiology of non-human primates; one must consider also the detailed knowledge of human brain function and cognition that is now available from functional studies in humans-including the electrophysiological studies in humans described here. Together with functional imaging of the human brain via positron emission tomography (PET) and functional magnetic resonance imaging (fMRI), ERPs fill our quiver with the arrows required to pierce more than the single neuron, but the networks of cognition.
Cognitive electrophysiology is a very well established field utilizing new technologies such as bioelectric events-related potentials (ERP) and magnetic (ERF) recordings to pursue the investigation of mind and brain. Current research focuses on reviewing ERP/ERF findings in the areas of attention, language, memory, visual and auditory perceptual processing, emotions, development, and neuropsychological clinical damages. The goal of such research is basically to provide correlations between the structures of the brain and their complex cognitive functions.This book reviews the latest findings in the areas of attention, language, memory, visual and auditory perception, and brain damage research based primarily on research conducted using ERP recordings. Beyond just compiling the knowledge gained from ongoing research, the authors also identify outstanding problems in the field and predict future developments. - Provides an original post-cognitive theoretical approach to the investigation of the human mind and brain - Presents integrated view of the emotional and cognitive features as well as of developmental features of neurocognitive systems - Well-illustrated with elegant and original artwork that clarifies complex theoretical and methodological points throughout the text
Cognitive Electrophysiology of Attention explores the fundamental mechanisms of attention and related cognitive functions from cognitive neuroscience perspectives. Attention is an essential cognitive ability that enables humans to process and act upon relevant information while ignoring distracting information, and the capacity to focus attention is at the core of mental functioning. Understanding the neural bases of human attention remains a key challenge for neuroscientists and psychologists, and is essential for translational efforts to treat attentional deficits in a variety of neurological and psychiatric disorders. Cognitive electrophysiology is at the center of a multidisciplinary approach that involves the efforts of psychologists, neuroscientists, neuropsychologists, psychiatrists, and neurologists to identify basic brain mechanisms and develop translational approaches to improve mental health. This edited volume is authored by leading investigators in the field and discusses methods focused on electrophysiological recordings in humans, including electroencephalography (EEG) and event-related potential (ERP) methods, and also incorporates evidence from functional magnetic resonance imaging (fMRI). Cognitive Electrophysiology of Attention illuminates specific models about attentional mechanisms in vision, audition, multisensory integration, memory, and semantic processing in humans. - Provides an exhaustive overview of attention processes, going from normal functioning to the pathological, and using a combination of methodological tools - An important reference for electrophysiology researchers looking at underlying attention processes rather than the methods themselves - Enables researchers across a broad range of cognitive-process and methodological specialties to stay current on particular hypotheses, findings, and methods - Edited and authored by the worldwide leaders in the field, affording the broadest, most expert coverage available
When his beloved donkey becomes ill, a young Italian boy is determined to take her to the crypt of St. Francis in Assisi in hopes of making her well.
This book reviews a productive period of research aimed at connecting brain and mind through the use of scalp-recorded brain potentials to chart the temporal course of information processing in the human brain. The book serves as both as a summary of where we have been and as a pointer of the way ahead.
Originally published in 1977, this volume attempts to show how the existing state of knowledge and technique in neuroscience can be effectively applied to a variety of practical clinical problems that at the time were dealt with less than adequately. Traditionally, clinical electroencephalography had been one of the major techniques by which our knowledge of neuroscience had been brought to bear upon these problems. The utility of this technique had been sharply limited and constrained by reliance upon qualitative interpretation of electrophysiological observations. In contrast, the approach proposed here is based upon quantitative measurements of salient features extracted from electrophysiological data which reflect various aspects of brain function related to sensory, perceptual and cognitive processes as well as to the structural and functional integrity of different neuroanatomical systems. The Editors call this quantitative approach "neurometrics".
Recent developments in the tools and techniques of data acquisition and analysis in cognitive electrophysiology.
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.