Neuroscience In Information Systems Research
Download Neuroscience In Information Systems Research PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neuroscience In Information Systems Research 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.
Neuroscience in Information Systems Research
This book shows how information systems (IS) scholars can effectively apply neuroscience expertise in ways that do not require neuroscience tools. However, the approach described here is intended to complement neuroscience tools, not to supplant them. Written by leading scholars in the field, it presents a review of the empirical literature on NeuroIS and provides a conceptual description of basic brain function from a cognitive neuroscience perspective. Drawing upon the cognitive neuroscience knowledge developed in non-IS contexts, the book enables IS scholars to reinterpret existing behavioral findings, develop new hypotheses and eventually test the hypotheses with non-neuroscience tools. At its core, the book conveys how neuroscience knowledge makes a deeper understanding of IS phenomena possible by connecting the behavioral and neural levels of analysis.
Information Systems and Neuroscience
This book presents the proceedings of the Gmunden Retreat on NeuroIS 2015, reporting on topics at the intersection of Information Systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.
Systems Neuroscience
This edition of Advances in Neurobiology brings together experts in the emerging field of Systems Neuroscience to present an overview of this area of research. Topics covered include: how different neural circuits analyze sensory information, form perceptions of the external world, make decisions, and execute movements; how nerve cells behave when connected together to form neural networks; the relationship between molecular and cellular approaches to understanding brain structure and function; the study of high-level mental functions; and studying brain pathologies and diseases with Systems Neuroscience. A hierarchy of biological complexity arises from the genome, transcriptome, proteome, organelles, cells, synapses, circuits, brain regions, the whole brain, and behaviour. The best way to study the brain, the most complex organ in the body composed of 100 billion cells with trillions of interconnections, is with a Systems Biology approach. Systems biology is an inter-disciplinary field that focuses on complex interactions within biological systems to reveal 'emergent properties' - properties of cells and groups of cells functioning as a system whose actual and theoretical description is only possible using Systems Biology techniques.