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.

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

Systems Neuroscience in Depression provides a comprehensive overview of the normal and depressed brain processes as studied from a systems neuroscience perspective. Systems neuroscience uses a wide variety of approaches to study how networks of neurons form the bases of higher brain function. A broad overview is discussed starting with a background from neurodevelopment and neural understanding as well as novel treatment approaches for depression. This book covers basic developmental aspects and depressive psychopathology, as well as the basic scientific background from animal models and experimental research. Current advances in systems neuroscience are highlighted in studies from child and adolescent psychiatry. Integrated approaches are presented with regards to genetics, neuroimaging and neuroinflammation as well as neuroendocrinology. The field of systems and network neuroscience is evolving rapidly and this book provides a greatly needed resource for researchers and practitioners in systems neuroscience and psychiatry. Knowledge covering the whole life span from early to later life Comprehensively written chapters developing from molecules via epigenetics and neural circuits to clinical neuroscience Understanding the neurobiology of major depressive disorder Integrating stress and environmental factors with molecular underpinnings More than 25 illustrations and tables

Is the everyday understanding of belief susceptible to scientific investigation? Belief is one of the most commonly used, yet unexplained terms in neuroscience. Beliefs can be seen as forms of mental representations and one of the building blocks of our conscious thoughts. This book provides an interdisciplinary overview of what we currently know about the neural basis of human belief systems, and how different belief systems are implemented in the human brain. The chapters in this volume explain how the neural correlates of beliefs mediate a range of explicit and implicit behaviours ranging from moral decision making, to the practice of religion. Drawing inferences from philosophy, psychology, psychiatry, religion, and cognitive neuroscience, the book has important implications for understanding how different belief systems are implemented in the human brain, and outlines the directions which research on the cognitive neuroscience of beliefs should take in the future. The Neural Basis of Human Belief Systems will be of great interest to researchers in the fields of psychology, philosophy, psychiatry, and cognitive neuroscience.

Systems Neuroscience is a compilation of interdisciplinary contributions to systems neuroscience — an approach within neuroscience that connects system theory and computer simulation. The compendium contains papers that discusses and elaborates a diverse range of studies in systems neuroscience. The topics in the book include the psychophysical data on human visual perception and memory, and indicates the value of a top-down analysis in relating quantitative measurements of human behavior to the fine-level analysis of the neurophysiology; computer analysis of a neural model of masking and flicker fusion; studies on the properties of differential equations that represent networks of neurons; the development of an interactive computer graphics language for the simulation of concurrent processes such as those occurring in neural networks; and the data structures for internal representations of spatial dimensions in the brain. The book will be a good source of valuable insight for neuroscientists.

This book presents the proceedings of the virtual conference NeuroIS Retreat 2020, June 2–4, hosted in Austria, 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.

While there have been tremendous advances in our scientific understanding of the brain, this work has been largely academic, and often oriented toward clinical publication. Cognitive Neuroscience of Human Systems: Work and Everyday Life addresses the relationship between neurophysiological processes and the performance and experience of humans in everyday life. It samples the vast neuroscience literature to identify those areas of research that speak directly to the performance and experience of humans in everyday settings, highlighting the practical, everyday application of brain science. The book explains the underlying basis for well-established principles from human factors, ergonomics, and industrial engineering and design. It also sheds new light on factors affecting human performance and behavior. This is not an academic treatment of neuroscience, but rather a translation that makes modern brain science accessible and easily applicable to systems design, education and training, and the development of policies and practices. The authors supply clear and direct guidance on the applications of principles from brain science to everyday problems. With discussions of topics from brain science and their relevance to everyday activities, the book focuses on the science, describing the findings and the studies producing these findings. It then decodes how these findings relate to everyday life and how you can integrate them into your work to achieve more effective outcomes based on a fundamental understanding of how the operations of the human brain produce behavior and modulate performance.