Time Optimal Control of Human Voluntary Movement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Optimal Control of Human Voluntary Movement write by Mark B. Shapiro. This book was released on 1997. Time Optimal Control of Human Voluntary Movement available in PDF, EPUB and Kindle.
Control of Human Voluntary Movement
Control of Human Voluntary Movement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Control of Human Voluntary Movement write by john rothwell. This book was released on 2012-12-06. Control of Human Voluntary Movement available in PDF, EPUB and Kindle. This comprehensive textbook illustrates the excitement and the difficulties of working at the interface between pure and applied research. Written with the student firmly in mind, the text provides a concise account of the basic anatomy and function of the parts of the CNS involved in controlling body movement. Clinical information is integrated throughout and, wherever possible, details of relevant experiments given.
Control of Human Voluntary Movement
Control of Human Voluntary Movement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Control of Human Voluntary Movement write by J. C. Rothwell. This book was released on 1987-01-22. Control of Human Voluntary Movement available in PDF, EPUB and Kindle.
Rethinking Optimal Control of Human Movements
Rethinking Optimal Control of Human Movements - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rethinking Optimal Control of Human Movements write by Dongsung Huh. This book was released on 2012. Rethinking Optimal Control of Human Movements available in PDF, EPUB and Kindle. The complex bio-mechanics of human body is capable of generating an unlimited repertoire of movements, which on one hand yields highly versatile motor behavior but on the other hand presents a formidable control problem for the brain. Understanding the computational process that allows us to easily perform various motor tasks with a high degree of coordination is of central interest to both neuroscience and robotics control. In recent decades, it became widely accepted that the observed movement features can be understood as a result of the brain's effort of optimizing the motor behaviors. However, a major challenge for the optimal control models is deciding how the motor task should be represented. In this thesis, (1) I compare the existing representations in literature (2) derive a novel formulation using the principles and analytic tools from physics, (3) predict previously unreported features of human movements, and (4) conrm them in psychophysics experiments. I also explore implementing the optimal controller with articial neural networks, which may potentially lead to a deeper understanding of neural computation. The obtained controller generates realistic target-directed hand movements in real-time, and reproduces many of reported neuro-physiology data in primary motor cortex.
Fast Human Movements and Sparse Optimal Control Policies
Fast Human Movements and Sparse Optimal Control Policies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast Human Movements and Sparse Optimal Control Policies write by Mehrdad Yazdani. This book was released on 2012. Fast Human Movements and Sparse Optimal Control Policies available in PDF, EPUB and Kindle. In this work we seek to find the underpinnings of neuronal control and movement. In doing so, we hope to gain insight into the function of the brain and also inspiration for the development of advanced robotics and neuronal prosthetics. In motor control, there is strong evidence that many different signals in the brain are combined. We propose that these various signals are different control policies and that these signals are sparse (reflecting the simplicity of neuronal computation). Additionally, neuronal time-integration plays a crucial role in motor control. Hence, we propose that biological motor control involves : 1. Sparse control signals. 2. Time-integration of control signals. 3. Combination of multiple control signals. We used these three simple ideas to outperforms previous models significantly better on human data (with p
