The Memory Process offers a groundbreaking, interdisciplinary approach to the understanding of human memory, with contributions from both neuroscientists and humanists. The first book to link the neuroscientific study of memory to the investigation of memory in the humanities, it connects the latest findings in memory research with insights from philosophy, literature, theater, art, music, and film. Chapters from the scientific perspective discuss both fundamental concepts and ongoing debates from genetic and epigenetic approaches, functional neuroimaging, connectionist modeling, dream analysis, and neurocognitive studies. The humanist analyses offer insights about memory from outside the laboratory: a taxonomy of memory gleaned from modernist authors including Virginia Woolf, James Joyce, and William Faulkner; the organization of memory, seen in drama ranging from Hamlet to The Glass Menagerie; procedural memory and emotional memory in responses to visual art; music's dependence on the listener's recall; and the vivid renderings of memory and forgetting in such films as Memento and Eternal Sunshine of the Spotless Mind. The chapters from the philosophical perspective serve as the bridge between science and the arts. The volume's sweeping introduction offers an integrative merging of neuroscientific and humanistic findings.

Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, statistical methods, and applications. The material emphasizes basic principles and practical applications and provides an integrated perspective of both theory and practice. This book explores data sets from a wide range of disciplines, such as hydrology, climatology, telecommunications engineering, and high-precision physical measurement. The data sets are conveniently compiled in the index, and this allows readers to view statistical approaches in a practical context. Statistical Methods for Long Term Memory Processes also supplies S-PLUS programs for the major methods discussed. This feature allows the practitioner to apply long memory processes in daily data analysis. For newcomers to the area, the first three chapters provide the basic knowledge necessary for understanding the remainder of the material. To promote selective reading, the author presents the chapters independently. Combining essential methodologies with real-life applications, this outstanding volume is and indispensable reference for statisticians and scientists who analyze data with long-range dependence.

Is memory best regarded as comprising multiple independent systems, as a processing framework, tapped via different levels of processing, or as a complex function which can be used in a flexible manner? Here, international researchers and theorists present stimulating, self-contained, and balanced summaries of the theoretical and empiricaL positions shaping the field today.

The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."

An argument that individuals and collectives form memories by analogous processes and a case study of collective retrograde amnesia. We form individual memories by a process known as consolidation: the conversion of immediate and fleeting bits of information into a stable and accessible representation of facts and events. These memories provide a version of the past that helps us navigate the present and is critical to individual identity. In this book, Thomas Anastasio, Kristen Ann Ehrenberger, Patrick Watson, and Wenyi Zhang propose that social groups form collective memories by analogous processes. Using facts and insights from neuroscience, psychology, anthropology, and history, they describe a single process of consolidation with analogous—not merely comparable—manifestations on any level, whether brain, family, or society. They propose a three-in-one model of memory consolidation, composed of a buffer, a relator, and a generalizer, all within the consolidating entity, that can explain memory consolidation phenomena on individual and collective levels. When consolidation is disrupted by traumatic injury to a brain structure known as the hippocampus, memories in the process of being consolidated are lost. In individuals, this is known as retrograde amnesia. The authors hypothesize a "social hippocampus" and argue that disruption at the collective level can result in collective retrograde amnesia. They offer the Chinese Cultural Revolution (1966–1976) as an example of trauma to the social hippocampus and present evidence for the loss of recent collective memory in mainland Chinese populations that experienced the Cultural Revolution.

To most of us, learning something "the hard way" implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement.

An accessible synthesis of memory research that discusses the creation of memory representations, the processes of storage and retrieval, and the effectiveness of encoding information. The field of memory research is subdivided into many separate and non-overlapping topic areas that often employ specialized tools and models. This book offers an accessible synthesis of memory research that explores how memory works, how it is organized, and how it changes dynamically. Written by an expert in the field, it can be used by undergraduate and graduate students of psychology and as a reference by researchers who want to fill in gaps in their knowledge. The book focuses on three general topics that cover a vast amount of research in the field: how a memory representation is created, how the cognitive processes of storage and retrieval can be studied and measured, and the process of encoding information and its varying degrees of effectiveness. Specific subjects addressed include habituation and sensitization, and the neurobiological changes that underlie them; evidence for a cognitive component underlying Pavlovian conditioning; biological constraints on a cognitive model of memory; an information-processing framework for memory; misconceptions about memory, including the static memory myth and the permanent memory myth; model-based measurement of storage and retrieval processes; a critique of the concept of memory strength; the distinction between implicit and explicit memory; and learning and repetition. Although the writing is accessible to the nonspecialist, the density of information is high. The text avoids jargon, and a glossary defines key terms. The notes expand on technical details and point to interesting related ideas.