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Break It Down


Author : Michael W. Small
language : en
Publisher: Citadel Press
Release Date : 1992


Download Break It Down written by Michael W. Small and has been published by Citadel Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Music categories.


Dozens of today's hottest rap stars discuss their private lives and their music, offering their opinions on rap music today

Throw Away Your Vision Board


Author : Neil E. Farber, M.D.
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-04-23


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Are you like so many people who have tried unsuccessfully to attain your goals with a vision board? Vision boards are based on the so-called, law of attraction; like always attracts like. As in the book, The Secret, if you think it and live it, the universe will deliver it to you. Unfortunately, the law of attraction does not work 99.9% of the time. In his thorough and candid analysis, Dr. Farber takes you through a fascinating history of the law of attraction as well as the good, the bad, and the ugly side of vision boards. As a certified "Advanced Law of Attraction Practitioner," Dr. Farber exposes the truth about the law of attraction. He shows how believing in this "law" may be detrimental to your health, inhibit your compassion for others, decrease your motivation, and lessen your chance of achieving goals. This is not just a book about what not to do. This book shows us how to upgrade our vision boards and boost our success by utilizing mind-brain science and positive psychology research. Dr. Farber has the solution to our goal-achieving desires. He introduces us to the "Key to Achieve Principles" and The Action Board goal-achieving system. As the inventor of The Action Board, Dr. Farber is the world's leading expert in this system!

Modularity In Motor Control From Muscle Synergies To Cognitive Action Representation


Author : Andrea d'Avella
language : en
Publisher: Frontiers Media SA
Release Date : 2016-04-21


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Mastering a rich repertoire of motor behaviors, as humans and other animals do, is a surprising and still poorly understood outcome of evolution, development, and learning. Many degrees-of-freedom, non-linear dynamics, and sensory delays provide formidable challenges for controlling even simple actions. Modularity as a functional element, both structural and computational, of a control architecture might be the key organizational principle that the central nervous system employs for achieving versatility and adaptability in motor control. Recent investigations of muscle synergies, motor primitives, compositionality, basic action concepts, and related work in machine learning have contributed to advance, at different levels, our understanding of the modular architecture underlying rich motor behaviors. However, the existence and nature of the modules in the control architecture is far from settled. For instance, regularity and low-dimensionality in the motor output are often taken as an indication of modularity but could they simply be a byproduct of optimization and task constraints? Moreover, what are the relationships between modules at different levels, such as muscle synergies, kinematic invariants, and basic action concepts? One important reason for the new interest in understanding modularity in motor control from different viewpoints is the impressive development in cognitive robotics. In comparison to animals and humans, the motor skills of today’s best robots are limited and inflexible. However, robot technology is maturing to the point at which it can start approximating a reasonable spectrum of isolated perceptual, cognitive, and motor capabilities. These advances allow researchers to explore how these motor, sensory and cognitive functions might be integrated into meaningful architectures and to test their functional limits. Such systems provide a new test bed to explore different concepts of modularity and to address the interaction between motor and cognitive processes experimentally. Thus, the goal of this Research Topic is to review, compare, and debate theoretical and experimental investigations of the modular organization of the motor control system at different levels. By bringing together researchers seeking to understand the building blocks for coordinating many muscles, for planning endpoint and joint trajectories, and for representing motor and behavioral actions in memory we aim at promoting new interactions between often disconnected research areas and approaches and at providing a broad perspective on the idea of modularity in motor control. We welcome original research, methodological, theoretical, review, and perspective contributions from behavioral, system, and computational motor neuroscience research, cognitive psychology, and cognitive robotics.

Neural And Computational Modeling Of Movement Control


Author : Ning Lan
language : en
Publisher: Frontiers Media SA
Release Date : 2017-04-17


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In the study of sensorimotor systems, an important research goal has been to understand the way neural networks in the spinal cord and brain interact to control voluntary movement. Computational modeling has provided insight into the interaction between centrally generated commands, proprioceptive feedback signals and the biomechanical responses of the moving body. Research in this field is also driven by the need to improve and optimize rehabilitation after nervous system injury and to devise biomimetic methods of control in robotic devices. This research topic is focused on efforts dedicated to identify and model the neuromechanical control of movement. Neural networks in the brain and spinal cord are known to generate patterned activity that mediates coordinated activation of multiple muscles in both rhythmic and discrete movements, e.g. locomotion and reaching. Commands descending from the higher centres in the CNS modulate the activity of spinal networks, which control movement on the basis of sensory feedback of various types, including that from proprioceptive afferents. The computational models will continue to shed light on the central strategies and mechanisms of sensorimotor control and learning. This research topic demonstrated that computational modeling is playing a more and more prominent role in the studies of postural and movement control. With increasing ability to gather data from all levels of the neuromechanical sensorimotor systems, there is a compelling need for novel, creative modeling of new and existing data sets, because the more systematic means to extract knowledge and insights about neural computations of sensorimotor systems from these data is through computational modeling. While models should be based on experimental data and validated with experimental evidence, they should also be flexible to provide a conceptual framework for unifying diverse data sets, to generate new insights of neural mechanisms, to integrate new data sets into the general framework, to validate or refute hypotheses and to suggest new testable hypotheses for future experimental investigation. It is thus expected that neural and computational modeling of the sensorimotor system should create new opportunities for experimentalists and modelers to collaborate in a joint endeavor to advance our understanding of the neural mechanisms for postural and movement control. The editors would like to thank Professor Arthur Prochazka, who helped initially to set up this research topic, and all authors who contributed their articles to this research topic. Our appreciation also goes to the reviewers, who volunteered their time and effort to help achieve the goal of this research topic. We would also like to thank the staff members of editorial office of Frontiers in Computational Neuroscience for their expertise in the process of manuscript handling, publishing, and in bringing this ebook to the readers. The support from the Editor-in-Chief, Dr. Misha Tsodyks and Dr. Si Wu is crucial for this research topic to come to a successful conclusion. We are indebted to Dr. Si Li and Ms. Ting Xu, whose assistant is important for this ebook to become a reality. Finally, this work is supported in part by grants to Dr. Ning Lan from the Ministry of Science and Technology of China (2011CB013304), the Natural Science Foundation of China (No. 81271684, No. 61361160415, No. 81630050), and the Interdisciplinary Research Grant cross Engineering and Medicine by Shanghai Jiao Tong University (YG20148D09). Dr. Vincent Cheung is supported by startup funds from the Faculty of Medicine of The Chinese University of Hong Kong. Guest Associate Editors Ning Lan, Vincent Cheung, and Simon Gandevia

Visual Perception


Author : Steven Yantis
language : en
Publisher: Psychology Press
Release Date : 2001


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Collects twenty five classic articles in visual perception, the articles span a century and include examples from disciplines that contribute to our current understanding of vision. Discussion questions and further reading suggestions follow.

The Supernatural Index


Author : Michael Ashley
language : en
Publisher: Greenwood Publishing Group
Release Date : 1995


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Indexes story collections by editor, book title, author, and story title

Cyclopaedia Of Biblical Theological And Ecclesiastical Literature


Author : John McClintock
language : en
Publisher:
Release Date : 1881


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