Most people find colorful brain scans highly compelling-and yet, many experts don't. This discrepancy begs the question: What can we learn from neuroimaging? Is brain information useful in fields such as psychiatry, law, or education? How do neuroscientists create brain activation maps and why do we admire them? Casting Light on The Dark Side of Brain Imaging tackles these questions through a critical and constructive lens-separating fruitful science from misleading neuro-babble. In a breezy writing style accessible to a wide readership, experts from across the brain sciences offer their uncensored thoughts to help advance brain research and debunk the craze for reductionist, headline-grabbing neuroscience. This collection of short, enlightening essays is suitable for anyone interested in brain science, from students to professionals. Together, we take a hard look at the science behind brain imaging and outline why this technique remains promising despite its seldom-discussed shortcomings.

While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

The importance of facial expressions has led to a steadily growing body of empirical findings and theoretical analyses. Every decade has seen work that extends or challenges previous thinking on facial expression. The Science of Facial Expression provides an updated review of the current psychology of facial expression . This book summarizes current conclusions and conceptual frameworks from leading figures who have shaped the field in their various subfields, and will therefore be of interest to practitioners, students, and researchers of emotion in cognitive psychology, neuroscience, biology, anthropology, linguistics, affective computing, and homeland security. Organized in eleven thematic sections, The Science of Facial Expression offers a broad perspective of the "geography" of the science of facial expression. It reviews the scientific history of emotion perception and the evolutionary origins and functions of facial expression. It includes an updated compilation on the great debate around Basic Emotion Theory versus Behavioral Ecology and Psychological constructionism. The developmental psychology and social psychology of facial expressions is explored in the role of facial expressions in child development, social interactions, and culture. The book also covers appraisal theory, concepts, neural and behavioral processes, and lesser-known facial behaviors such as yawing, vocal crying, and vomiting. In addition, the book reflects that research on the "expression of emotion" is moving towards a significance of context in the production and interpretation of facial expression The authors expose various fundamental questions and controversies yet to be resolved, but in doing so, open many sources of inspiration to pursue in the scientific study of facial expression.

Paying attention is something we are all familiar with and often take for granted, yet the nature of the operations involved in paying attention is one of the most profound mysteries of the brain. This book contains a rich, interdisciplinary collection of articles by some of the pioneers of contemporary research on attention. Central themes include how attention is moved within the visual field; attention's role during visual search, and the inhibition of these search processes; how attentional processing changes as continued practice leads to automatic performance; how visual and auditory attentional processing may be linked; and recent advances in functional neuro-imaging and how they have been used to study the brain's attentional network

These papers, with the editors' introductions, aim to illustrate the many ideas, the range of theories, methods and approaches, and the fruits of the cognitive revolution. They are divided into sections on: foundations; learning, memory and cognition; and communications, speech and language.

The use of visual art is relatively common in scientific literature, and academic publications sometimes reproduce famous paintings to attract potential readers. When used in this manner, artwork is just a marginal adornment. In The Painted Mind, however, each chapter is inspired by an artistic masterpiece. Throughout the book, Dr. Troisi highlights the artistic significance of each painting and introduces the reader to their creators' biographical stories. The Painted Mind has a scientific focus on the evolutionary analysis of human mind and behavior. Its discussion of emotions and behaviors integrates a variety of perspectives that can ultimately be reduced to the evolutionary distinction between proximate mechanisms and adaptive functions. Although Dr. Troisi is primarily a clinical psychiatrist, his eclectic scientific background-ranging from primate ethology to neuroscience, from behavioral biology to molecular genetics, and from Darwinian psychiatry to evolutionary psychology-gives his writing a unique perspective. In addition to integrating data and findings from each of these disciplines, the book's presentation of evolutionary theories of the human mind is also intermixed with lively discussion of individual cases. Some are clinical cases from Dr. Troisi's own psychiatric practice; others reference the psychological profiles of historical figures and fictional characters.

Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 62 includes chapters on such varied topics as automatic logic and effortful beliefs, complex learning and development, bias detection and heuristics thinking, perceiving scale in real and virtual environments, using multidimensional encoding and retrieval contexts to enhance our understanding of source memory, causes and consequences of forgetting in thinking and remembering and people as contexts in conversation.

Some time around their first birthday, children begin to engage in "triadic" interactions, i.e. interactions with adults that turn specifically on both child and adult jointly attending to an object in their surroundings. Recognized as a developmental milestone amongst psychologists for some time, joint attention has recently also started to attract the attention of philosophers. This volume brings together, for the first time, psychological and philosophical perspectives on the nature and significance of joint attention. Original contributions by leading researchers in both disciplines explore the idea that joint attention has a key foundational role to play in the emergence of communicative abilities, psychological understanding, and, possibly, in the very capacity for objective thought.
Contributors:
Dare Baldwin, Josep Call, John Campbell, Naomi Eilan, Fabio Franco, Juan-Carlos Gomez, Jane Heal, R. Peter Hobson, Christoph Hoerl, Sue Leekam, Teresa McCormack, Christopher Peacocke, Vasudevi Reddy, Johannes Roessler, Mark A. Sabbagh, Michael Tomasello, Amanda L. Woodward.

Cognition, Intelligence, and Achievement is motivated by the work of the renowned Professor J. P. Das on the PASS (Planning, Attention, Simultaneous and Successive Processing) theory of intelligence and CAS measures (Cognitive Assessment System) of cognitive processes. This book reviews current research using this and other frameworks in understanding the relationships among cognition, intelligence, and achievement. The assessment and diagnosis of learning disabilities, mental retardation, and ADHD are addressed, and the interrelationships among cognition, culture, neuropsychology, academic achievement, instruction, and remediation are examined. No other book has presented such an integrated view across these domains, from such a diverse array of internationally known and respected experts from psychology, education, and neuroscience.

"Psychology of Learning and Motivation" publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 61 includes chapters on such varied topics as problems of Induction, motivated reasoning and rationality, probability matching, cognition in the attention economy, masked priming, motion extrapolation and testing memory
Volume 61 of the highly regarded "Psychology of Learning and Motivation"An essential reference for researchers and academics in cognitive scienceRelevant to both applied concerns and basic research

This book proposes an applied epistemological framework for investigating science, social cognition and religious thinking based on inferential patterns that recur in the different domains. It presents human rationality as a tool that allows us to make sense of our (physical or social) surroundings. It shows that the resulting cognitive activity produces a broad spectrum of outputs, such as scientific models and experimentation, gossip and social networks, but also ancient and contemporary deities. The book consists of three parts, the first of which addresses scientific modeling and experimentation, and their application to the analysis of scientific rationality. Thus, this part continues the tradition of eco-cognitive epistemology and abduction studies. The second part deals with the relationship between social cognition and cognitive niche construction, i.e. the evolutionarily relevant externalization of knowledge onto the environment, while the third part focuses on what is commonly defined as "irrational", thus being in a way dialectically opposed to the first part. Here, the author demonstrates that the "irrational" can be analyzed by applying the same epistemological approach used to study scientific rationality and social cognition; also in this case, we see the emergence of patterns of rationality that regulate the relationships between agents and their environment. All in all, the book offers a coherent and unitary account of human rationality, providing a basis for new conceptual connections and theoretical speculations.

"Cognitive Neuroscience and Psychotherapy" provides a bionetwork theory unifying empirical evidence in cognitive neuroscience and psychopathology to explain how emotion, learning, and reinforcement affect personality and its extremes. The book uses the theory to explain research results in both disciplines and to predict future findings, as well as to suggest what the theory and evidence say about how we should be treating disorders for maximum effectiveness. While theoretical in nature, the book has practical applications, and takes a mathematical approach to proving its own theorems. The book is unapologetically physical in nature, describing everything we think and feel by way of physical mechanisms and reactions in the brain. This unique marrying of cognitive neuroscience and clinical psychology provides an opportunity to better understand both.
Unifying theory for cognitive neuroscience and clinical psychologyDescribes the brain in physical terms via mechanistic processesSystematically uses the theory to explain empirical evidence in both disciplinesTheory has practical applications for psychotherapy

This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.

Rethinking Cognitive Computation explores the hypothesis that the mind is a computer. The exploration is based on the pioneering work of Alan Turing and presents the first detailed exposition of his theory of computation intended specifically for psychologists. Turing's bold and beautiful theory provides an ideal perspective from which to evaluate current computational thinking about the mind. The book examines the strengths and weaknesses of symbol systems and connectionist theorising and proposes a new approach called ecological functionalism. Ecological functionalism is based on Turing's fundamental insights and extends them by drawing on contemporary theories of concurrent and distributed computation to cover a wide range of psychological domains. Ecological functionalism provides the basis for a powerful, unified theory of great scope which includes social as well as individual processes. The book is intended for teaching but will also be of interest to researchers in cognitive science, psychology and philosophy of mind. Andrew Wells is a lecturer in psychology at the London School of Economics and Political Science. He has qualifications in philosophy, psychology and computer science and has published papers on a range of psychological topics.

This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher's, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.

This book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions. It also shows how to solve cable models using separation of variables and the Fourier Series.

In the late 1960s and early 1970s David Marr produced three astonishing papers in which he gave a detailed account of how the fine structure and known cell types of the cerebellum, hippocampus and neocortex perform the functions that they do. Marr went on to become one of the main founders of Computational Neuroscience. In his classic work 'Vision' he distinguished between the computational, algorithmic, and implementational levels, and the three early theories concerned implementation. However, they were produced when Neuroscience was in its infancy. Now that so much more is known, it is timely to revisit these early theories to see to what extent they are still valid and what needs to be altered to produce viable theories that stand up to current evidence. This book brings together some of the most distinguished scientists in their fields to evaluate Marr's legacy. After a general introduction there are three chapters on the cerebellum, three on the hippocampus and two on the neocortex. The book ends with an appreciation of the life of David Marr by Lucia Vaina.

This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.

This is a textbook for courses commonly called neural networks in departments of computer and information science. This unique neural network book will describe novel architectures and learning mechanisms of model-based neural networks that utilize and intriguing concept of an internal "world" model. This concept combines a prior knowledge of models with adaptive learning and addresses the most perplexing problems in the fields of neural networks: fast learning and robust generalization. The author provides an overview of neural networks and artificial intelligence fields, relating hundreds of seemingly disparate techniques to several basic mathematical concepts. He then analyzes fundamental computational concepts of major neural network paradigms, and relates them to concepts of mind in philosophy, pschology, and linguistics. Relationships of these mathematical concepts to the concepts of philosophy will help students and researchers determine the directions of future research. This book can also be used as a supplementary text in a graduate course on Neural Networks.

Robert N. McCauley and E. Thomas Lawson are considered the founders of the field of the cognitive science of religion. Since its inception over twenty years ago, the cognitive science of religion has raised questions about the philosophical foundations and implications of such a scientific approach. This volume from McCauley, including chapters co-authored by Lawson, is the first book-length project to focus on such questions, resulting in a compelling volume that addresses fundamental questions that any scholar of religion should ask. The essays collected in this volume are those that initially defined this scientific field for the study of religion. These essays deal with issues of methodology, reductionism, resistance to the scientific study of religion, and other criticisms that have been lodged against the cognitive science of religion. The new final chapter sees McCauley reflect on developments in this field since its founding. Tackling these debates head on and in one place for the first time, this volume belongs on the shelf of every researcher interested in this now established approach to the study of religion within a range of disciplines, including religious studies, philosophy, anthropology and the psychology of religion.

This collection of papers has been developed by an interdisciplinary group of contributors. They present a variety of new perspectives on creativity, spirituality, and transcendence as experienced in adulthood. The discussions in this volume, address the interplay of variables from theoretical, experimental, and clinical vantage points. This book is written for academic and clinical audiences, as well as for those who are interested in-and wrestle with-unexpressed aspects of their own creativity and spiritual yearnings. Unlike the current cognitive trend in creativity research that seeks rational and biological explanations for human phenomena, these essays give consideration to the power of extraordinary sources of inspiration. The research and theoretically based articles presented make a captivating collection that challenges our thinking about what it means to be a creative adult striving toward personal integrity and wisdom at the dawn of the 21st century.

Studying narratives is often the best way to gain a good understanding of how various aspects of human information are organized and integrated-the narrator employs specific informational methods to build the whole structure of a narrative through combining temporally constructed events in light of an array of relationships to the narratee and these methods reveal the interaction of the rational and the sensitive aspects of human information. Computational and Cognitive Approaches to Narratology discusses issues of narrative-related information and communication technologies, cognitive mechanism and analyses, and theoretical perspectives on narratives and the story generation process. Focusing on emerging research as well as applications in a variety of fields including marketing, philosophy, psychology, art, and literature, this timely publication is an essential reference source for researchers, professionals, and graduate students in various information technology, cognitive studies, design, and creative fields.