Society Organizations And The Brain Building Towards A Unified Cognitive Neuroscience Perspective
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Society, Organizations and the Brain: building towards a unified cognitive neuroscience perspective
This e-book brings together scholars in both the neurosciences and organizational sciences who have adopted various approaches to study the cognitive mechanisms mediating the social behavior that we see within organizations. Such an approach has been termed by ourselves, and others, as ‘organisational cognitive neuroscience’. In recent years there has been a veritable increase in studies that have explored the cognitive mechanisms driving such behaviors, and much progress has been made in understanding the neural underpinnings of processes such as financial exchange, risk awareness and even leadership. However, while these studies are informative and add to our understanding of human cognition they fall short of providing evidence-based recommendations for practice. Specifically, we address the broader issue of how the neuroscientific study of such core social behaviors can be used to improve the very way that we work. To address these gaps in our understanding the chapters in this book serve as a platform that allows scholars in both the neurosciences and the organizational sciences to highlight the work that spans across these two fields. The consolidation of these two fields also serves to highlight the utility of a singular organizational cognitive neuroscience. This is a fundamentally important outcome of the book as the application of neuroscience to address economically relevant behaviors has seen a variety of fields evolve in their own right, such as neuromarketing, neuroeconomics and so forth. The use of neuro-scientific technologies,in particular fMRI, has indeed led to a bewildering (and somewhat suffocating) proliferation of new approaches, however, the speed of such developments demands that we must proceed carefully with such ventures or risk some fundamental mistakes. The book that you now hold will consolidates these new neuroscience based approaches and in doing so highlight the importance of this approach in helping us to understand human social behavior in general. Taken together the chapters provide a framework for scholars within the neurosciences who wish to explore the further the opportunities that the study of organisational behavior may provide.
Real-World Applications in Cognitive Neuroscience
Real-World Applications in Cognitive Neuroscience Volume 253, the latest release in the Progress in Brain Research series, highlights new advances in the field, with this volume presenting interesting chapters on Perception and Decision Making at Sea, The Sleep-Wake Regulation in Cognition: Applications in the Real World, Decision making and the menstrual cycle in elite athletes, Decision Making under pressure in elite football, Economics and the Brain, Predictive coding: Neuroscience and art, The brain and music, Application in behavioral change, Applications of Cognitive Neuroscience to understanding Aphantasia, Applications in Inhibitory control, Applications in Vision; helping patients find their (golf) balls again, and much more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Progress in Brain Research series - Updated release includes the latest information on cognitive neuroscience
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.