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This book is devoted to a novel conceptual theoretical framework of neuro science and is an attempt to show that we can postulate a very small number of assumptions and utilize their heuristics to explain a very large spectrum of brain phenomena. The major assumption made in this book is that inborn and acquired neural automatisms are generated according to the same func tional principles. Accordingly, the principles that have been revealed experi mentally to govern inborn motor automatisms, such as locomotion and scratching, are used to elucidate the nature of acquired or learned automat isms. This approach allowed me to apply the language of control theory to describe functions of biological neural networks. You, the reader, can judge the logic of the conclusions regarding brain phenomena that the book derives from these assumptions. If you find the argument flawless, one can call it common sense and consider that to be the best praise for a chain of logical conclusions. For the sake of clarity, I have attempted to make this monograph as readable as possible. Special attention has been given to describing some of the concepts of optimal control theory in such a way that it will be under standable to a biologist or physician. I have also included plenty of illustra tive examples and references designed to demonstrate the appropriateness and applicability of these conceptual theoretical notions for the neurosciences.
This book covers recent advances in neural technology that provide for enhancements for brain function. It addresses a broad range of neural phenomena occurring in the brain circuits involved in perception, cognition, emotion and action, that represent the building blocks of behavior and cognition. Augmentation of brain function can be achieved by using brain implants for recordings, stimulation, or drug delivery. Alternative methods include employing brain-machine interfaces, as well as noninvasive activation of certain brain areas. This volume evaluates existing methods of brain augmentation while discussing the brain circuitry and neuronal mechanisms that make augmentation possible. This volume offers novel insights into brain disorders, and explores new devices for brain repair while also addressing the philosophical and ethical implications of brain augmentation. The information in this book is relevant to researchers in the fields of neuroscience, engineering, and clinical practice. Advance Praise for Modern Approaches to Augmentation of Brain Function: “This impressive book by leading experts in neuroscience and neuroengineering lays out the future of brain augmentation, in which the human mind and machine merge, leading to a rapid exponential growth of the power of humanity.” Ray Kurzweil, best-selling author, inventor, entrepreneur and a recipient of the National Medal of Technology and Innovation (1999), and the Lemelson-MIT Prize (2001) "This book employs a holistic approach in covering the recent advances in the fields of neuroscience, neuroinformatics, neurotechnology and neuro-psycho-pharmacology. Each chapter of the book covers major aspects of modern brain research in connection with the human mind and behavior, and is authored by researchers with unique expertise in their field. " Ioan Dumitrache, Prof. Dr. Eng. Faculty of Computer Science, Polytechnic University of Bucharest, Bucharest, Romania “This book presents compelling perspectives on what interactive neuroscience will look like in the future, delving into the innovatory ideas of a diverse set of neuroscientists, and speculating on the different ways computer chips implanted in the brains of humans can effect intelligence and communication.” György Buzsáki, MD, PhD is the Biggs Professor of Neuroscience, NYU School of Medicine, New York, NY
Significant advances in brain research have been made, but investigators who face the resulting explosion of data need new methods to integrate the pieces of the "brain puzzle." Based on the expertise of more than 100 neuroscientists and computer specialists, this new volume examines how computer technology can meet that need. Featuring outstanding color photography, the book presents an overview of the complexity of brain research, which covers the spectrum from human behavior to genetic mechanisms. Advances in vision, substance abuse, pain, and schizophrenia are highlighted. The committee explores the potential benefits of computer graphics, database systems, and communications networks in neuroscience and reviews the available technology. Recommendations center on a proposed Brain Mapping Initiative, with an agenda for implementation and a look at issues such as privacy and accessibility.
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.
How can we understand a system as complex as the brain? Does the brain use the same operational principles to control physical and mental activities? How can we incorporate in a model what we know and what we do not know about the brain?The connectionist model presented in this book provides tools for addressing such questions. Its nodes represent well-established biological facts combined with observations of the overall behaviors of the system. The model is based on comparing and contrasting brains, computers, and neural networks. It defines a framework for understanding the relationships between the brain and the mind. It can serve both as a starting point for developing Artificial Intelligence applications for all levels of mental activities and as a guide in the search for biological correlates of observed behaviors.
Intended as supplemental reading in courses on theories of development, this book augments traditional core texts by providing students with more depth on about two dozen recent and emerging theories that have appeared over the past 20 years. This period has seen a decline of the traditional "grand" theories that attempt to apply to all people all the time in favor of "micro theories" that focus more on individual differences, so a book like this actually points the way toward the future rather than dryly reviewing the past. In addition, the author inspects the changing ways in which the concept of "theory" itself has been interpreted during this period, and he concludes with a chapter suggesting future directions.
Hierarchy is a central feature in the organisation of complex biological systems and particularly the structure and function of neural networks. While other aspects of brain connectivity such as regionalisation, modularity or motif composition have been discussed elsewhere, no detailed analysis has been presented so far on the role of hierarchy and its connection to brain dynamics. Recent discussions among many of our colleagues have shown an increasing interest in hierarchy (of spatial, temporal and dynamic features), and this is an emerging key question in neuroscience as well as generally in the field of network science, due to its links with concepts of control, efficiency and development across scales (e.g. Hilgetag et al. Science, 1996; Ravasz et al. Science, 2002; Bassett et al. PNAS, 2006; Mueller-Linow et al. PLoS Comp. Biol., in press). The proposed Research Topic will address recent findings from a theoretical as well as experimental perspective including contributions under the following four headings: 1) Topology: Detecting and characterizing network hierarchy; 2) Experiments: Neural dynamics across hierarchical scales; 3) Dynamics: Activity spread, oscillations, and synchronization in hierarchical networks; 4) Dynamics: Stable functioning and information processing in hierarchical networks.
The present work is the second in a series constituting an extension of my doctoral thesis done at Stanford in the early 1970s. Like the earlier work, The Reciprocal Modular Brain in Economics and Politics, Shaping the Rational and Moral Basis ofOrganization, Exchange, and Choice (Plenum Publishing, 1999), it may also be considered to respond to the call for consilience by Edward O. Wilson. I agree with Wilson that there is a pressing need in the sciences today for the unification of the social with the natural sciences. I consider the present work to proceed from the perspective of behavioral ecology, specifically a subfield which I choose to call interpersonal behavioral ecology th Ecology, as a general field, has emerged in the last quarter of the 20 century as a major theme of concern as we have become increasingly aware that we must preserve the planet whose limited resources we share with all other earthly creatures. Interpersonal behavioral ecology, however, focuses not on the physical environment, but upon our social environment. It concerns our interpersonal behavioral interactions at all levels, from simple dyadic one-to-one personal interactions to our larger, even global, social, economic, and political interactions.
The area of spinal cord plasticity has become a very actively researched field. The spinal cord has long been known to organize reflex patterns and serve as the major transmission pathway for sensory and motor nerve impulses. However, the role of the spinal cord in information processing and in experience driven alterations is generally not recognized. With recent advances in neural recording techniques, behavioral technologies and neural tracing and imaging methods has come the ability to better assess the role of the spinal cord in behavioral control and alteration. The discoveries in recent years have been revolutionary. Alterations due to nociceptive inputs, simple learning paradigms and repetitive inputs have now been documented and their mechanisms are being elucidated. These findings have important clinical implications. The development of pathological pain after a spinal cord injury likely depends on the sensitization of neurons within the spinal cord. The capacity of the spinal cord to change as a function of experience, and adapt to new environmental relations, also affects the recovery locomotive function after a spinal cord injury. Mechanisms within the spinal cord can support stepping and the capacity for this behavior depends on behavioral training. By taking advantage of the plasticity inherent within the spinal cord, rehabilitative procedures may foster the recovery of function.