Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- PART ONE ANATOMY AND PHYSIOLOGY OF THE CEREBELLAR SYSTEM
- PART TWO CEREBELLAR FUNCTIONS
- PART THREE MODELS AND THEORIES
- PART FOUR SUMMARY AND CONCLUSIONS
- APPENDIX A A Hybrid Analogue/Digital Multiplexer/Multiplier-Based Adaptive Signal Processor
- Author's Note
- Bibliography
- Index
Preface
Published online by Cambridge University Press: 28 October 2009
- Frontmatter
- Contents
- Preface
- Acknowledgments
- PART ONE ANATOMY AND PHYSIOLOGY OF THE CEREBELLAR SYSTEM
- PART TWO CEREBELLAR FUNCTIONS
- PART THREE MODELS AND THEORIES
- PART FOUR SUMMARY AND CONCLUSIONS
- APPENDIX A A Hybrid Analogue/Digital Multiplexer/Multiplier-Based Adaptive Signal Processor
- Author's Note
- Bibliography
- Index
Summary
Let us consider first the exquisite design of the cerebellar cortex as a laminated rectangular lattice, a structure built with a precision only exceeded in biology by the insect eye and its connectivities. A theory of the cerebellar cortex has to incorporate this design as a key feature, and moreover has to account for the convergence onto each Purkinje cell of two quite distinctive inputs, that from the mossy-fiber input with the immense divergence (8,000) and convergence (100,000) and that from the climbing fibers where the divergence number is about 10 and the convergence number is 1. This extraordinary double innervation has been maintained through all the exigencies of evolution from primitive cerebella to the great efflorescence in mammals and birds. It is particularly remarkable that, when the cerebellar hemispheres were developed in step with the cerebral hemispheres, the inferior olive hypertrophied also. The cerebral efferents had to travel down to the medulla oblongata to excite the newly developed inferior olivary neurons for the essential climbing fiber input to the cerebellar hemispheres.
(Eccles 1982, p. 607)This book assembles evidence that the requirements of a model to meet the unique anatomical and functional features that characterize the cerebellum are currently best met by adaptive control models (or their neural net equivalents), the signal feature of which is their ability to adjust (i.e., to optimize) their own parameters automatically.
- Type
- Chapter
- Information
- The Cerebellum and Adaptive Control , pp. ix - xPublisher: Cambridge University PressPrint publication year: 2002