This volume presents a short review study of the potential relationships between cognitive neuroscience and educational science. Conducted by order of the Dutch Programme Council for Educational Research of the Netherlands Organization for Scienti c Research (NWO; cf. the American NSF), the review aims to identify: (1) how educational principles, mechanisms, and theories could be extended or re ned based on ndings from cognitive neuroscience, and (2) which neuroscience prin- ples, mechanisms, or theories may have implications for educational research and could lead to new interdisciplinary research ventures. The contents should be seen as the outcome of the ‘Explorations in Learning and the Brain’ project. In this project, we started with a ‘quick scan’ of the lite- ture that formed the input for an expert workshop that was held in Amsterdam on March 10–11,2008. This expert workshopidenti ed additional relevant themesand issues that helped us to update the ‘quick scan’ into this nal document. In this way the input from the participants of the expert workshop (listed in Appendix A) has greatly in uenced the present text. We are therefore grateful to the participants for their scholarly and enthusiastic contributions. The content of the current volume, however, is the full responsibility of the authors.

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

This book critically re-examines the scientific understanding of learning and presents novel concepts and emerging theories, ground-breaking research, pioneering investigations, and state-of-the-art projects. The chapters in this book portray theoretical frameworks, thought-provoking ideas, and promising efforts in framing new science of learning.

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

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."

With over 350 illustrations, this impressive volume traces the rich history of ideas about the functioning of the brain from its roots in the ancient cultures of Egypt, Greece, and Rome through the centuries into relatively modern times. In contrast to biographically oriented accounts, this book is unique in its emphasis on the functions of the brain and how they came to be associated with specific brain regions and systems. Among the topics explored are vision, hearing, pain, motor control, sleep, memory, speech, and various other facets of intellect. The emphasis throughout is on presenting material in a very readable way, while describing with scholarly acumen the historical evolution of the field in all its amazing wealth and detail. From the opening introductory chapters to the concluding look at treatments and therapies, this monumental work will captivate readers from cover to cover. It will be valued as both an historical reference and as an exciting tale of scientificdiscovery. It is bound to attract a wide readership among students and professionals in the neural sciences as well as general readers interested in the history of science and medicine.

This book critically re-examines the scientific understanding of learning and presents novel concepts and emerging theories, ground-breaking research, pioneering investigations, and state-of-the-art projects. The chapters in this book portray theoretical frameworks, thought-provoking ideas, and promising efforts in framing new science of learning.