Elsevier S & T

Self-Organization, Computational Maps, and Motor Control

Morasso, P.G.; Sanguineti, V.

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Table of contents
  • TABLE OF CONTENTSvii
  • List of Contributorsix
  • Prolegomenaxiii
  • PART I1
  • Chapter 1. Cortical Maps of Sensorimotor Spaces1
  • Chapter 2. Field Computation in Motor Control37
  • Chapter 3. A Probability Interpretation of Neural Population Coding for Movement75
  • Chapter 4. Computational Models of Sensorimotor integration117
  • Chapter 5. How Relevant are Subcortical Maps for the Cortical Machinery? An Hypothesis Based on Para149
  • PART II169
  • Chapter 6. Artificial Force-Field Based Methods in Robotics169
  • Chapter 7. Learning Newtonian Mechanics191
  • Chapter 8. Motor Intelligence in a Simple Distributed Control System: Walking Machines and Stick Ins239
  • Chapter 9. The Dynamic Neural Field Theory of Motor Programming: Arm and Eye Movements271
  • Chapter 10. Network Models in Motor Control and Music311
  • PART III357
  • Chapter 11. Human Arm Impedance in Multi-Joint Movement357
  • Chapter 12. Neural Models for Flexible Control of Redundant Systems383
  • Chapter 13. Models of Motor Adaptation and Impedance Control in Human Arm Movements423
  • Chapter 14. Control of Human Arm and Jaw Motion: Issues Related to Musculo-Skeletal Geometry483
  • Chapter 15. Computational Maps and Target Fields for Reaching Movements507
  • Chapter 16. From Cortical Maps to the Control of Muscles547
  • Chapter 17. Learning to Speak: Speech Production and Sensori-motor representations593
  • Author Index617
  • Subject Index631
Book details
  • Vendor Elsevier S & T
  • SKU 9780444823236
  • ISBN-13 9780080540917
  • Author Morasso, P.G.; Sanguineti, V.
  • Category Medical
  • Subject Neuroscience

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In the study of the computational structure of biological/robotic sensorimotor systems, distributed models have gained center stage in recent years, with a range of issues including self-organization, non-linear dynamics, field computing etc. This multidisciplinary research area is addressed here by a multidisciplinary team of contributors, who provide a balanced set of articulated presentations which include reviews, computational models, simulation studies, psychophysical, and neurophysiological experiments.

The book is divided into three parts, each characterized by a slightly different focus: in part I, the major theme concerns computational maps which typically model cortical areas, according to a view of the sensorimotor cortex as "geometric engine" and the site of "internal models" of external spaces. Part II also addresses problems of self-organization and field computing, but in a simpler computational architecture which, although lacking a specialized cortical machinery, can still behave in a very adaptive and surprising way by exploiting the interaction with the real world. Finally part III is focused on the motor control issues related to the physical properties of muscular actuators and the dynamic interactions with the world.

The reader will find different approaches on controversial issues, such as the role and nature of force fields, the need for internal representations, the nature of invariant commands, the vexing question about coordinate transformations, the distinction between hierachiacal and bi-directional modelling, and the influence of muscle stiffness.