Information Processing By Neuronal Populations
Download Information Processing By Neuronal Populations PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Information Processing By Neuronal Populations book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Information Processing by Neuronal Populations
Author: Christian Holscher
language: en
Publisher: Cambridge University Press
Release Date: 2012-10-25
Bringing together a multitude of data from different backgrounds, this book answers many questions including how networks are formed and separated and associated with other networks. It strives to cover the range of single cell activity analysis to observation of network activity and to brain area activity and cognitive processes.
An Introduction to Neural Information Processing
This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.
Computational Cultural Neuroscience
This book provides novel insights into the study of empirical computational approaches in the field of cultural neuroscience. It discusses and analyses topics such as cultural intelligence, cultural machine learning, cultural brain dynamics and cultural security. This comprehensive text engages with computational principles to guide the research on the influence of cultural environments on human genetics. It explores the theoretical and methodological approaches involved in computational neuroscience. The author elucidates how cultural processes intersect with the structural organization of the nervous system, contributing to the study of computational principles and neural information-processing mechanisms at the cultural level. Research in this subject area can help provide better understanding of the role of computation in cultural neuroscience, stimulating further research into practice and policy. Computational Cultural Neuroscience: An Introduction is the ideal resource for academics, researchers and students of psychology, neuroscience, computer science or philosophy, who are interested in cultural neuroscience.