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Control of Arm Movement in Space: Neurophysiological and Computational Approaches: v. 22 (Experimental Brain Research Series) - Tapa dura

 
9783540550549: Control of Arm Movement in Space: Neurophysiological and Computational Approaches: v. 22 (Experimental Brain Research Series)

Sinopsis

The primate forearm is capable of an infinite variety of motions which are performed with power, speed, and finesse. How the brain generates and controls such movements has intrigued and baffled students of motor control for centuries. However, progress toward the better understanding of arm movement control is now being made by researchers in several disciplines. This volume brings together contributions from the fields of neuroanatomy, neurophysiology, behavior, and computational neuroscience. Each chapter presents recent data from current research topics relevant to the problem of controlling arm and hand movements. The multidisciplinary approach adopted in this volume reflects the current trend to combine the methodologies of neuroscience with those of engineering. In this sense, special emphasis has been given to computational developments which have their basis in recent experimental results. Correlations between behavioral motor variables and neural activity in various brain regions, the neural mechanisms of reaching and manipulation control and their underlying visuomotor transformation, and the internal neuronal representation of motor space as seen through population codes, are the main topics treated at both physiological and computational level. . We hope that this volume will help both physiologists to better understand the theoretical bases underlying the neural control of movement, and students of neural networks to adopt more biologically-oriented approaches in their development of new computational strategies.

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Reseña del editor

The primate forearm is capable of an infinite variety of motions which are performed with power, speed, and finesse. How the brain generates and controls such movements has intrigued and baffled students of motor control for centuries. However, progress toward the better understanding of arm movement control is now being made by researchers in several disciplines. This volume brings together contributions from the fields of neuroanatomy, neurophysiology, behavior, and computational neuroscience. Each chapter presents recent data from current research topics relevant to the problem of controlling arm and hand movements. The multidisciplinary approach adopted in this volume reflects the current trend to combine the methodologies of neuroscience with those of engineering. In this sense, special emphasis has been given to computational developments which have their basis in recent experimental results. Correlations between behavioral motor variables and neural activity in various brain regions, the neural mechanisms of reaching and manipulation control and their underlying visuomotor transformation, and the internal neuronal representation of motor space as seen through population codes, are the main topics treated at both physiological and computational level. . We hope that this volume will help both physiologists to better understand the theoretical bases underlying the neural control of movement, and students of neural networks to adopt more biologically-oriented approaches in their development of new computational strategies.

Reseña del editor

How does the human brain control hand and arm movement? Can artificial systems copy the powerful capacity of the human brain? The many groups researching these questions will find interdisciplinary co-operation and a new outlook in this report. The study proposes a direct comparison between current computational development and new experimental results from neurophysiology and neurophysics. The book covers different levels of neural control: spinal cord, red nucleus, premotor cortex, motor cortex, parietal cortex, thalamus and cerebellum. An important place is assigned to the problems of muscle co-ordination, internal representations of movement variables in different nervous regions and co-ordinate transformations underlying reaching and manipulation. For the physiologist, the book provides a theoretical basis for better understanding of how neuronal populations code movement centrally. For neural network and robotics researchers, it provides theories of how the brain controls arm movement and new concepts and ideas of how to generate more efficient artificial systems.

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