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Biological Network Analysis
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.
Brain-Mind-Body Practice and Health
It is acknowledged that practice could induce rapid change or reorganization of the brain’s cellular or neural networks as well as behaviors. Notably, practice relevant to mental or physical approach attracted great attention in this decade. It highlights profound significance both for human evolvement and individual development. Specifically, acquiring fine motor skills is a crucial premise for human being to evolve to modern human by using tools in one side. In the other side, numerous evidences indicated that motor learning involved in limb and trunks promotes the development of individual brain in anatomy and functions. Hence, motor learning is also tightly associated with developmenta...
Reliability and Reproducibility in Functional Connectomics
Functional connectomics enables researchers to monitor interactions among thousands of units within the whole brain simultaneously by using various vivo imaging technologies. For example, resting-state functional magnetic resonance imaging can image low-frequency fluctuations in the spontaneous brain activities, representing a popular tool for macro-scale functional connectomics to characterize individual differences in normal brain function, mind-brain associations, and the various disorders. Reliability and reproducibility represents the most fundamental and critical aspect for the human brain functional connectomics to both research and clinical practice. Unfortunately, lacking a data pla...
Inner Experiences: Theory, Measurement, Frequency, Content, and Functions
One fundamental topic of scientific inquiry in psychology is the study of what William James called the “stream of consciousness”, our ongoing experience of the world and ourselves from within—our inner experiences. These internal states (aka “stimulus-independent thoughts”) include inner speech, mental imagery, feelings, sensory awareness, internally produced sounds or music, unsymbolized thinking, and mentalizing (thinking about others' mental states). They may occur automatically during mind-wandering (daydreaming) and resting-state episodes, and may focus on one's past, present, or future (“mental time travel”--e.g., autonoetic consciousness). Inner experiences also may tak...
Cognition and Interaction: From Computers to Smart Objects and Autonomous Agents
Cognitive sciences have been involved under numerous accounts to explain how humans interact with technology, as well as to design technological instruments tailored to human needs. As technological advancements in fields like wearable and ubiquitous computing, virtual reality, robotics and artificial intelligence are presenting novel modalities for interacting with technology, there are opportunities for deepening, exploring, and even rethinking the theoretical foundations of human technology use. This volume entitled “Cognition and Interaction: From Computers to Smart Objects and Autonomous Agents” is a collection of articles on the impacts that novel 3 September Frontiers in Psycholog...
Collaborative Efforts for Understanding the Human Brain
The human brain is incredibly complex, and the more we learn about it, the more we realize how much we need a truly interdisciplinary team to make sense of its intricacies. This eBook presents the latest efforts in collaborative team science from around the world, all aimed at understanding the human brain.
