This book presents the proceedings of the Gmunden Retreat on NeuroIS 2016, 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.

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.

The complex information systems which have evolved in recent decades rely on robust and coherent representations in order to function. Such representations and associated reasoning techniques constitute the modern discipline of formal ontology, which is now applied to fields such as artificial intelligence, computational linguistics, bioinformatics, GIS, conceptual modeling, knowledge engineering, information retrieval, and the semantic web. Ontologies are increasingly employed in a number of complex real-world application domains. For instance, in biology and medicine, more and more principle-based ontologies are being developed for the description of biological and biomedical phenomena. To be effective, such ontologies must work well together, and as they become more widely used, achieving coordinated development presents a significant challenge. This book presents collected articles from the 7th International Conference on Formal Ontologies (FOIS), held in Graz, Austria, in July 2012.FOIS is a forum which brings together representatives of all major communities involved in the development and application of ontologies to explore both theoretical issues and concrete applications in the field. The book is organized in eight sections, each of which deals with the ontological aspects of: bioinformatics; physical entities; artifacts and human resources; ontology evaluation; language and social relations; time and events; representation and the methodological aspects of ontological engineering. Providing a current overview of developments in formal ontology, this book will be of interest to all those whose work involves the application of ontologies, and to anybody wishing to keep abreast of advances in the field.

This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.

The Brain: A Systems Neuroscience Perspective is a comprehensive textbook designed for undergraduate students in neuroscience. It offers a detailed exploration of brain dynamics, spatial navigation, and the neuroscience of Alzheimer's disease, with an emphasis on understanding complex concepts through simplified mathematical models. The objective is to provide a solid foundation for readers in systems neuroscience. Key Topics Fundamental Brain Dynamics: Covers the basics of brain organization, neural systems, and the role of differential equations in neuroscience (Chapters 1-3). Spatial Navigation: Discusses the neural mechanisms underlying spatial navigation and the geometry of neural maps (Chapter 4). Alzheimer’s Disease: Presents a simplified mathematical theory of Alzheimer’s dementia, exploring its onset, progression, and potential interventions (Chapter 5). Key Features Accessible Approach: Minimizes mathematical complexity to make the subject approachable for readers with a basic understanding of differential equations. Standalone Resource: Provides all essential knowledge on brain function, making it a valuable tool for both coursework and self-study. Includes references for advanced readers.

Boost your skills in planning and managing physical rehabilitation! Neuroscience: Fundamentals for Rehabilitation, 5th Edition provides a practical guide to the nervous system and how it affects the practice of physical and occupational therapy. Case studies and first-person stories from people with neurologic disorders make it easier to apply your knowledge to the clinical setting. New to this edition are new chapters on neuroanatomy imaging and neurologic examination techniques. Written by noted PT educator Laurie Lundy-Ekman, this book uses evidence-based research to help you understand neurologic disorders and treat clients who have physical limitations due to nervous system damage or disease. - Logical, systems approach to neuroscience makes it easier to master complex information and provides a framework for conducting a neurologic examination and evaluation. - A clinical perspective of neuroscience is provided through case studies, personal stories written by patients, and summaries of key features of neurologic disorders and the body systems they affect. - Five sections — Overview of Neurology, Neuroscience at the Cellular Level, Development of the Nervous System, Vertical Systems, and Regions — first show how neural cells operate, and then allow you to apply your knowledge of neuroscience. - Emphasis on topics critical to physical rehabilitation includes coverage of abnormal muscle tone, chronic pain, control of movement, and differential diagnosis of dizziness. - Hundreds of color-coded illustrations show body structures and functions across systems. - Clinical Notes case studies demonstrate how neuroscience knowledge may be applied to clinical situations. - Pathology boxes provide a quick summary of the features of neurologic disorders commonly encountered in rehabilitation practice. - New! Neuroimaging and Neuroanatomy Atlas chapter includes MRI and CT images. - NEW! Neurologic Disorders and the Neurologic Examination chapter provides detailed descriptions and photographs of techniques. - NEW! Diagnostic Clinical Reasoning boxes help you develop the ability to recognize patterns of signs and symptoms associated with specific diagnoses. - NEW! Updated content reflects the most current research findings. - NEW! Reader-friendly approach converts long, technical chapters into smaller, more accessible chapters. - NEW! Reorganized chapters progress from the cellular view to the systems view to the regional view.

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.

This Handbook examines complex cognitive systems through the lens of neuroscience, as well as providing an overview of development and applications within cognitive and systems neuroscience research and beyond.