Brain-Inspired Computing

This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures

CONTEXT EFFECTS ON THE NEURAL CORRELATES OF EMOTION

Human emotions are inextricably linked to the context in which they occur, yet neuroscience research on emotion often overlooks the role of context in shaping the neural correlates of human emotions. This dissertation, through three studies, begins to address this gap. Study 1 (Chapter 2) investigated how language as a form of context influences the brain’s response to facial expressions of anger and disgust, showing distinct differences in neural activity related to disgust perception between Chinese Asian and White American participants. Language was found to play a significant role in shaping the neural correlates of emotion perception, particularly in the context of disgust for Chinese Asian participants. Study 2 (Chapter 3) examined the influence of social and cultural contexts on the neural correlates of fear and sadness, demonstrating that both cultural group membership and cultural attitudes are related to the brain’s processing of negative emotional experiences. Study 3 (Chapter 4) focused on individual and group level variation in emotion-related functional connectivity, finding both idiographic and nomothetic patterns of connectivity related to negative emotional experiences. It further highlighted the influence of cultural attitudes on the neural correlates of emotion. Overall, these studies illustrate the importance of considering diverse contextual variables in studying the neural basis of emotion. They show that social and cultural contexts influence how the human brain processes and represents emotions.Doctor of Philosoph

High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

Advanced Location-Based Technologies and Services

Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements