Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
Author: Wim van Drongelen
Publsiher: Academic Press
Total Pages: 740
Release: 2018-04-20
ISBN: 012810483X
Category: Science
Language: EN, FR, DE, ES & NL

Signal Processing for Neuroscientists Book Excerpt:

Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling. Includes an introduction to biomedical signals, noise characteristics, recording techniques, and the more advanced topics of linear, nonlinear and multi-channel systems analysis Features new chapters on the fundamentals of modeling, application to neuronal modeling, Kalman filter, multi-taper power spectrum estimation, and practice exercises Contains the basics and background for more advanced topics in extensive notes and appendices Includes practical examples of algorithm development and implementation in MATLAB Features a companion website with MATLAB scripts, data files, figures and video lectures

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
Author: Wim van Drongelen
Publsiher: Elsevier
Total Pages: 320
Release: 2006-12-18
ISBN: 9780080467757
Category: Science
Language: EN, FR, DE, ES & NL

Signal Processing for Neuroscientists Book Excerpt:

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Signal Processing for Neuroscientists A Companion Volume

Signal Processing for Neuroscientists  A Companion Volume
Author: Wim van Drongelen
Publsiher: Elsevier
Total Pages: 186
Release: 2010-08-26
ISBN: 0123849160
Category: Medical
Language: EN, FR, DE, ES & NL

Signal Processing for Neuroscientists A Companion Volume Book Excerpt:

The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist’s attitude toward some of the more complex analysis techniques. This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings. Covers the more advanced topics of linear and nonlinear systems analysis and multi-channel analysis Includes practical examples implemented in MATLAB Provides multiple references to the basics to help the student

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
Author: Karim G. Oweiss
Publsiher: Academic Press
Total Pages: 433
Release: 2010-09-22
ISBN: 9780080962962
Category: Science
Language: EN, FR, DE, ES & NL

Statistical Signal Processing for Neuroscience and Neurotechnology Book Excerpt:

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
Author: Wim van Drongelen
Publsiher: Unknown
Total Pages: 308
Release: 2007
ISBN: 9780123708670
Category: Medical
Language: EN, FR, DE, ES & NL

Signal Processing for Neuroscientists Book Excerpt:

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. * Multiple color illustrations are integrated in the text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices * A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Signal Processing in Neuroscience

Signal Processing in Neuroscience
Author: Xiaoli Li
Publsiher: Springer
Total Pages: 288
Release: 2016-08-31
ISBN: 9811018227
Category: Medical
Language: EN, FR, DE, ES & NL

Signal Processing in Neuroscience Book Excerpt:

This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.

Signal Processing for Neuroscientists a Companion Volume Advanced Topics Nonlinear Techniques and Multi Channel Analysis

Signal Processing for Neuroscientists  a Companion Volume  Advanced Topics  Nonlinear Techniques and Multi Channel Analysis
Author: Wim Van Drongelen
Publsiher: Elsevier
Total Pages: 188
Release: 2010-09
ISBN: 9780323165143
Category: Medical
Language: EN, FR, DE, ES & NL

Signal Processing for Neuroscientists a Companion Volume Advanced Topics Nonlinear Techniques and Multi Channel Analysis Book Excerpt:

The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist s attitude toward some of the more complex analysis techniques. This book is a companion to the previously published "Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, " which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings. Covers the more advanced topics of linear and nonlinear systems analysis and multi-channel analysisIncludes practical examples implemented in MATLABProvides multiple references to the basics to help the student"

Web Application Obfuscation

Web Application Obfuscation
Author: Mario Heiderich,Eduardo Alberto Vela Nava,Gareth Heyes,David Lindsay
Publsiher: Elsevier
Total Pages: 296
Release: 2011-01-13
ISBN: 1597496057
Category: Computers
Language: EN, FR, DE, ES & NL

Web Application Obfuscation Book Excerpt:

Web applications are used every day by millions of users, which is why they are one of the most popular vectors for attackers. Obfuscation of code has allowed hackers to take one attack and create hundreds-if not millions-of variants that can evade your security measures. Web Application Obfuscation takes a look at common Web infrastructure and security controls from an attacker's perspective, allowing the reader to understand the shortcomings of their security systems. Find out how an attacker would bypass different types of security controls, how these very security controls introduce new types of vulnerabilities, and how to avoid common pitfalls in order to strengthen your defenses. Named a 2011 Best Hacking and Pen Testing Book by InfoSec Reviews Looks at security tools like IDS/IPS that are often the only defense in protecting sensitive data and assets Evaluates Web application vulnerabilties from the attacker's perspective and explains how these very systems introduce new types of vulnerabilities Teaches how to secure your data, including info on browser quirks, new attacks and syntax tricks to add to your defenses against XSS, SQL injection, and more

Signal Processing in Auditory Neuroscience

Signal Processing in Auditory Neuroscience
Author: Yoichi Ando
Publsiher: Academic Press
Total Pages: 120
Release: 2018-05-22
ISBN: 0128159391
Category: Medical
Language: EN, FR, DE, ES & NL

Signal Processing in Auditory Neuroscience Book Excerpt:

Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be considered when studying neural mechanisms of auditory processing in general, specifically in speech. Focuses on signal processing in human auditory-neuroscience Contains information that will be useful to researchers using a MEG/EEG recording of brain activity to study neural mechanisms of auditory processing and speech Gives an important overview and methodological background for techniques that are useful in human auditory-neuroscience

EEG Signal Processing and Feature Extraction

EEG Signal Processing and Feature Extraction
Author: Li Hu,Zhiguo Zhang
Publsiher: Springer Nature
Total Pages: 437
Release: 2019-10-12
ISBN: 9811391130
Category: Medical
Language: EN, FR, DE, ES & NL

EEG Signal Processing and Feature Extraction Book Excerpt:

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

Issues in Neuroscience Research and Application 2013 Edition

Issues in Neuroscience Research and Application  2013 Edition
Author: Anonim
Publsiher: ScholarlyEditions
Total Pages: 1208
Release: 2013-05-01
ISBN: 1490110402
Category: Medical
Language: EN, FR, DE, ES & NL

Issues in Neuroscience Research and Application 2013 Edition Book Excerpt:

Issues in Neuroscience Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Clinical Neuroscience. The editors have built Issues in Neuroscience Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Clinical Neuroscience in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Neuroscience Research and Application: 2013 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/.

Dynamic Neuroscience

Dynamic Neuroscience
Author: Zhe Chen,Sridevi V. Sarma
Publsiher: Springer
Total Pages: 327
Release: 2017-12-27
ISBN: 3319719769
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Dynamic Neuroscience Book Excerpt:

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.

Modern Techniques in Neuroscience Research

Modern Techniques in Neuroscience Research
Author: Uwe Windhorst,Hakan Johansson
Publsiher: Springer Science & Business Media
Total Pages: 1328
Release: 2012-12-06
ISBN: 3642585523
Category: Medical
Language: EN, FR, DE, ES & NL

Modern Techniques in Neuroscience Research Book Excerpt:

An overview of the techniques used in modern neuroscience research with the emphasis on showing how different techniques can optimally be combined in the study of problems that arise at some levels of nervous system organization. This is essentially a working tool for the scientist in the laboratory and clinic, providing detailed step-by-step protocols with tips and recommendations. Most chapters and protocols are organized such that they can be used independently, while cross-references between the chapters, a glossary, a list of suppliers and appendices provide further help.

Correlative Learning

Correlative Learning
Author: Zhe Chen,Simon Haykin,Jos J. Eggermont,Suzanna Becker
Publsiher: John Wiley & Sons
Total Pages: 480
Release: 2008-01-07
ISBN: 0470171448
Category: Science
Language: EN, FR, DE, ES & NL

Correlative Learning Book Excerpt:

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.

Advanced Signal Processing on Brain Event Related Potentials

Advanced Signal Processing on Brain Event Related Potentials
Author: Fengyu Cong,Tapani Ristaniemi,Heikki Lyytinen
Publsiher: World Scientific
Total Pages: 224
Release: 2015-04-08
ISBN: 9814623105
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Signal Processing on Brain Event Related Potentials Book Excerpt:

This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed. Contents:IntroductionWavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One EpochIndividual-Level ICA to Extract the ERP Components from the Averaged EEG DataMulti-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPsAnalysis of Ongoing EEG by NTF During Real-World Music ExperiencesAppendix: Introduction to Basic Knowledge of Mismatch Negativity Readership: Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science. Key Features:Advanced signal processing approaches can be applied on averaged EEG to extract ERPs' componentsFiltering ERPs in time, frequency and space domains sequentially and simultaneouslyDemo of ERP data and MATLAB codes are open-access for the advanced signal processing approaches on ERPsKeywords:Event-Related Potentials (ERPs);Digital Filter;Wavelet Filter;Independent Component Analysis;Tensor Decomposition;Nonnegative Tensor Factorization;Time-Frequency Representation

Time Frequency Analysis

Time Frequency Analysis
Author: Boualem Boashash
Publsiher: Elsevier
Total Pages: 770
Release: 2003-10-16
ISBN: 0080543057
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Time Frequency Analysis Book Excerpt:

Time Frequency Signal Analysis and Processing covers fundamental concepts, principles and techniques, treatment of specialised and advanced topics, methods and applications, including results of recent research. This book deals with the modern methodologies, key techniques and concepts that form the core of new technologies used in IT, multimedia, telecommunications as well as most fields of engineering, science and technology. It focuses on advanced techniques and methods that allow a refined extraction and processing of information, allowing efficient and effective decision making that would not be possible with classical techniques. The Author, fellow of IEEE for Pioneering contributions to time-frequency analysis and signal processing education, is an expert in the field, having written over 300 papers on the subject over a period pf 25 years. This is a REAL book, not a mere collection of specialised papers, making it essential reading for researchers and practitioners in the field of signal processing. *The most comprehensive text and reference book published on the subject, all the most up to date research on this subject in one place *Key computer procedures and code are provided to assist the reader with practical implementations and applications *This book brings together the main knowledge of time-frequency signal analysis and processing, (TFSAP), from theory and applications, in a user-friendly reference suitable for both experts and beginners

Neuroscience and Connectionist Theory

Neuroscience and Connectionist Theory
Author: Mark A. Gluck,David E. Rumelhart
Publsiher: Psychology Press
Total Pages: 405
Release: 1990
ISBN: 0805805044
Category: Computers
Language: EN, FR, DE, ES & NL

Neuroscience and Connectionist Theory Book Excerpt:

Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

Affective Computing and Interaction Psychological Cognitive and Neuroscientific Perspectives

Affective Computing and Interaction  Psychological  Cognitive and Neuroscientific Perspectives
Author: G”k‡ay, Didem,Yildirim, Glsen
Publsiher: IGI Global
Total Pages: 458
Release: 2010-10-31
ISBN: 1616928948
Category: Computers
Language: EN, FR, DE, ES & NL

Affective Computing and Interaction Psychological Cognitive and Neuroscientific Perspectives Book Excerpt:

Since interactions may occur between animals, humans, or computational agents, an interdisciplinary approach which investigates foundations of affective communication in a variety of platforms is indispensable. In the field of affective computing, a collection of research, merging decades of research on emotions in psychology, cognition and neuroscience will inspire creative future research projects and contribute to the prosperity of this emerging field. Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives examines the current state and the future prospects of affect in computing within the context of interactions. Uniting several aspects of affective interactions and topics in affective computing, this reference reviews basic foundations of emotions, furthers an understanding of the contribution of affect to our lives and concludes by revealing current trends and promising technologies for reducing the emotional gap between humans and machines, all within the context of interactions.

EEG Signal Processing and Machine Learning

EEG Signal Processing and Machine Learning
Author: Saeid Sanei,Jonathon A. Chambers
Publsiher: John Wiley & Sons
Total Pages: 752
Release: 2021-09-23
ISBN: 1119386934
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

EEG Signal Processing and Machine Learning Book Excerpt:

EEG Signal Processing and Machine Learning Explore cutting edge techniques at the forefront of electroencephalogram research and artificial intelligence from leading voices in the field The newly revised Second Edition of EEG Signal Processing and Machine Learning delivers an inclusive and thorough exploration of new techniques and outcomes in electroencephalogram (EEG) research in the areas of analysis, processing, and decision making about a variety of brain states, abnormalities, and disorders using advanced signal processing and machine learning techniques. The book content is substantially increased upon that of the first edition and, while it retains what made the first edition so popular, is composed of more than 50% new material. The distinguished authors have included new material on tensors for EEG analysis and sensor fusion, as well as new chapters on mental fatigue, sleep, seizure, neurodevelopmental diseases, BCI, and psychiatric abnormalities. In addition to including a comprehensive chapter on machine learning, machine learning applications have been added to almost all the chapters. Moreover, multimodal brain screening, such as EEG-fMRI, and brain connectivity have been included as two new chapters in this new edition. Readers will also benefit from the inclusion of: A thorough introduction to EEGs, including neural activities, action potentials, EEG generation, brain rhythms, and EEG recording and measurement An exploration of brain waves, including their generation, recording, and instrumentation, abnormal EEG patterns and the effects of ageing and mental disorders A treatment of mathematical models for normal and abnormal EEGs Discussions of the fundamentals of EEG signal processing, including statistical properties, linear and nonlinear systems, frequency domain approaches, tensor factorization, diffusion adaptive filtering, deep neural networks, and complex-valued signal processing Perfect for biomedical engineers, neuroscientists, neurophysiologists, psychiatrists, engineers, students and researchers in the above areas, the Second Edition of EEG Signal Processing and Machine Learning will also earn a place in the libraries of undergraduate and postgraduate students studying Biomedical Engineering, Neuroscience and Epileptology.

The Oxford Handbook of Cognitive Neuroscience

The Oxford Handbook of Cognitive Neuroscience
Author: Kevin N Ochsner,Stephen M Kosslyn
Publsiher: Oxford University Press
Total Pages: 135
Release: 2013-11-13
ISBN: 0199700672
Category: Psychology
Language: EN, FR, DE, ES & NL

The Oxford Handbook of Cognitive Neuroscience Book Excerpt:

Cognitive neuroscience has grown into a rich and complex discipline, some 35 years after the term was coined. Given the great expanse of the field, an inclusive and authoritative resource such as this handbook is needed for examining the current state-of-the-science in cognitive neuroscience. Spread across two volumes, the 59 chapters included in this handbook systemically survey all aspects of cognitive neuroscience, spanning perception, attention, memory, language, emotion, self and social cognition, higher cognitive functions, and clinical applications. Additional chapters cover topics ranging from the use of top-down cognitive processes in visual perception to the representation and recognition of objects and spatial relations; attention and its relationship to action as well as visual motor control; language and related core abilities including semantics, speech perception and production, the distinction between linguistic competence and performance, and the capacity for written language. Special coverage is also given to chapters describing the psychopharmacology of cognition, the theory of mind, the neuroscience underlying the regulation of emotion, and neuropsychological and neuroimaging evidence that supports the special status of self-knowledge in memory. This handbook provides a comprehensive compendium of research on cognitive neuroscience that will be widely accessible to students, researchers, and professionals working in this exciting and growing field.