Rehabilitation Robotics gives an introduction and overview of all areas of rehabilitation robotics, perfect for anyone new to the field. It also summarizes available robot technologies and their application to different pathologies for skilled researchers and clinicians. The editors have been involved in the development and application of robotic devices for neurorehabilitation for more than 15 years. This experience using several commercial devices for robotic rehabilitation has enabled them to develop the know-how and expertise necessary to guide those seeking comprehensive understanding of this topic. Each chapter is written by an expert in the respective field, pulling in perspectives from both engineers and clinicians to present a multi-disciplinary view. The book targets the implementation of efficient robot strategies to facilitate the re-acquisition of motor skills. This technology incorporates the outcomes of behavioral studies on motor learning and its neural correlates into the design, implementation and validation of robot agents that behave as 'optimal' trainers, efficiently exploiting the structure and plasticity of the human sensorimotor systems. In this context, human-robot interaction plays a paramount role, at both the physical and cognitive level, toward achieving a symbiotic interaction where the human body and the robot can benefit from each other's dynamics.

This book offers an original assessment of the ways in which the sociocultural code of blood revenge and its modern remnants shape irregular warfare. Despite being a common driver of communal violence, blood revenge has received little attention from scholars. With many civil wars and insurgencies occurring in areas where the custom lingers, strengthening our understanding of blood revenge is essential for discerning how conflicts change and evolve. Drawing upon extensive multidisciplinary evidence, this book is the first in the literature on civil war and insurgency to analyse the impact of blood revenge and its modern remnants on irregular warfare. Even when blood revenge undergoes erosion, its unregulated version still shapes the social fabric of insurgency, although in different ways than its institutionalised counterpart. At times of political instability, the presence of a culture of retaliation weighs heavily on the dynamics of violent mobilisation, target selection, recruitment, and disengagement. The book brings in evidence from dozens of conflicts, providing unprecedented insights into how a better understanding of blood revenge can improve military blueprints for irregular warfare. This book will be of much interest to students of insurgency, terrorism, military and strategic studies, anthropology, and sociology, as well as to decision-makers and irregular warfare professionals.

This book offers the first analysis of the brutalisation paradigm in counter-insurgency warfare. Minimising the use of force and winning over the population's opinion is said to be the cornerstone of success in modern counterinsurgency (COIN). Yet, this tells only one side of the story. Drawing upon primary data collected during interviews with eyewitnesses of the Second Russian-Chechen War, as well as from secondary sources, this book is the first to offer a detailed analysis of the long-neglected logic underpinning brutalisation-centred COIN campaigns. It offers a comprehensive systematisation of the brutalisation paradigm and challenges the widespread assumption of brutalisation as an underperforming paradigm of COIN warfare. It shows that, although appalling, brutalisation-centred measures can deliver success. The book also outlines a stigmatised yet widely deployed set of COIN measures and provides critical insights into how Western military blueprints can be improved without compromising important moral and ethical requirements. This book will be of much interest to students of counterinsurgency, military and strategic studies, Russian politics, and International Relations.

This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in Sao Joao Del-Rei, Brazil, in September 2019. The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction.