by Geoffrey Hinton and Terrence J. Sejnowski (1999)
This volume, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
Daniel G. Amen
In this breakthrough bestseller, you'll see scientific evidence that your anxiety, depression, anger, obsessiveness, or impulsiveness could be related to how specific structures in your brain work. You're not stuck with the brain you're born with.
David A. Sousa
Highly respected author and researcher David A. Sousa explains the latest neuroscientific findings in practical, understandable terms and discusses the impact this information has for teaching mathematics at all grade levels. This book covers the cognitive mechanisms for learning mathematics, the environmental and developmental factors that contribute to mathematics difficulties, and ways to differientiate mathematics instruction. -- BACK COVER.
Rex A. Wright and Guido H.E. Gendolla
Cardiovascular (CV) response consists of changes in CV parameters such as heart rate, blood pressure, and heart contraction force in reaction to an event or set of events. It is significant for multiple reasons, perhaps most notably because research suggests that it affects the development and progression of heart disease. Disease models vary, but most assume that characteristically strong and prolonged CV responses confer health risk. Psychologists have long suspected linkages between motivational variables and CV response. However, formal study of the linkages was limited for many years. Motivationally based CV response research now flourishes, with researchers in various disciplines considering the role of relevant variables such as effort, incentives, and goals. This book conveys the amount and diversity of motivationally based CV response research that currently is being conducted. Chapters discuss mechanisms of motivational influence on CV response and apply motivational approaches to studying CV response in different life circumstances. Health implications are considered throughout. The volume will appeal to scholars and practitioners in numerous specialty areas, including motivation, emotion, psychophysiology, medical/health psychology, social/personality psychology and human factors/ergonomics. It will be a vital research source and could serve as a text or supplement in classes that address motivational, psychophysiological and health issues.
Barbara M. Montgomery, Leslie A. Baxter
This work serves as a model for scholarly communication in which multiple voices are acknowledged as valid; the worth of one perspective is not measured by the denigration of another, and difference is celebrated as conducive to learning rather than threatening to it. The contributors emphasize the characteristics of their dialectical views that set them apart from other authors in their field and describe their methods of studying relationships from a dialectical perspective. Following the Bakhtlnian perspective, they honor the values of dialogism by respecting different and sometimes contradictory views and by joining in a discussion with the editors and other contributors about their emerging work.