The Cerebellum As A Neuronal Machine

This book has had a three-fold origin, corresponding to the discoveries made by the three authors and their collaborators during the last few years - mostly since 1962. A most fruitful symposium on the cerebellum was held in Tokyo at the time of the International Physiological Congress in September 1965, and there was then formulated the project of writing this book so as to organize all this new knowledge and make it readily available, and to give opportunity for the con ceptual developments that may be seen in Chapters XI, XII and XV in particular. The present account of the physiological properties of the cerebellar cortex is based to a large extent on systematic investigations that were concerned with discovering the mode of operation of the constituent neuronal elements of the cerebellar cortex. This work was carried out in the Physiology Department of the Australian National University from 1963 to 1966 in collaboration with several visiting scientists - initially Drs. ANDERSEN, OscARssaN and VooRHOEVE and later Drs. LuNAs, SAsAKI and STRATA - to all of whom grateful thanks are extended for a great many of the figures, and even more significantly for the original and critical contributions that they made to so many aspects of this exploration into the mode of operation of the neural machinery of the cerebellar cortex.

Leading neuroscientist Dr. Masao Ito advances a detailed and fascinating view of what the cerebellum contributes to brain function. The cerebellum has been seen as primarily involved in coordination of body movement control, facilitating the learning of motor skills such as those involved in walking, riding a bicycle, or playing a piano. The cerebellum is now viewed as an assembly of numerous neuronal machine modules, each of which provides an implicit learning capability to various types of motor control. The cerebellum enables us to unconsciously learn motor skills through practice by forming internal models simulating control system properties of the body parts. Based on these remarkable advances in our understanding of motor control mechanisms of the cerebellum, Ito presents a still larger view of the cerebellum as serving a higher level of brain functions beyond movements, including the implicit part of the thought and cognitive processes that manipulate knowledge. Ito extends his investigation of the cerebellum to discuss neural processes that may be involved implicitly in such complex mental actions as having an intuition, imagination, hallucination, or delusion.

In the late 1960s and early 1970s David Marr produced three astonishing papers in which he gave a detailed account of how the fine structure and known cell types of the cerebellum, hippocampus and neocortex perform the functions that they do. Marr went on to become one of the main founders of Computational Neuroscience. In his classic work 'Vision' he distinguished between the computational, algorithmic, and implementational levels, and the three early theories concerned implementation. However, they were produced when Neuroscience was in its infancy. Now that so much more is known, it is timely to revisit these early theories to see to what extent they are still valid and what needs to be altered to produce viable theories that stand up to current evidence. This book brings together some of the most distinguished scientists in their fields to evaluate Marr's legacy. After a general introduction there are three chapters on the cerebellum, three on the hippocampus and two on the neocortex. The book ends with an appreciation of the life of David Marr by Lucia Vaina.

The Neuronal Codes of the Cerebellum provides the most updated information on what is known on the topics of the cerebellum’s anatomy and single cell physiology, two areas where there has been a gap in knowledge regarding the specific codes it uses to process information internally and convey commands to other brain regions. This has created difficulties for researchers and clinicians looking to develop an understanding of the mechanisms by which it contributes to behavior and how its dysfunction causes neurological symptoms. Focused on findings related to the neuronal code used by cerebellar neurons for the representation of behavioral and sensory processes, this edited volume will aid scientists in overcoming that knowledge gap, also serving as the first resource to broadly address the different aspects of spike coding in the cerebellum that focuses on spike train analysis. Compiles current knowledge about functioning of the cerebellum on a cellular basis and how information is encoded in the cerebellum Highlights findings related to the neuronal code used by cerebellar neurons for the representation of behavioral and sensory processes Contents include an introduction to the cerebellum and experimental/theoretical techniques, as well as the function of cerebral coding during disorder, learning, behavior generation, motor behavior, and more Bridges the gap for cerebellar researchers between single cell biophysics/anatomic studies and behavioral studies Incorporates various in vivo approaches with different behavioral paradigms in primates and rodents, modeling studies of coding, and in vitro approaches

The cerebellum is an intriguing component of the brain. In humans it occupies only 10% of the brain volume, yet has approximately 69 billion neurons; that is 80% of the nerve cells in the brain. The cerebellum first arose in jawed vertebrates such as sharks, and early vertebrates also have an additional cerebellum-like structure in the hindbrain. Shark cerebellum-like structures function as adaptive filters to discriminate 'self' from 'other' in sensory inputs. It is likely that the true cerebellum evolved from these cerebellum-like precursors, and that their adaptive filter functionality was adopted for motor control; paving the way for the athleticism and movement finesse that we see in swimming, running, climbing and flying vertebrates. This book uses an evolutionary perspective to open up the exciting body of work that is cerebellar research to a wide audience. Understanding the brain is of interest to many people, from many different backgrounds, and for many different reasons. Therefore, understanding cerebellum is a significant step towards the wider challenge of understanding the brain. This book will be of interest to neuroscientists, neurologists and psychologists, in addition to computer scientists, and engineers concerned with machine/human interactions and robotics.