Theory And Method In The Neurosciences
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Theory and Method In The Neurosciences
Author: Peter Machamer
language: en
Publisher: University of Pittsburgh Pre
Release Date: 2017-03-15
Theory and Method in the Neurosciences surveys the nature and structure of theories in contemporary neuroscience, exploring many of its methodological techniques and problems. The essays in this volume from the Pittsburgh -Konstanz series explore basic questions about how to relate theories of neuroscience and cognition, the multilevel character of such theories, and their experimental bases. Philosophers and scientists (and some who are both) examine the topics of explanation and mechanisms, simulation and computation, imaging and animal models that raise questions about the forefront of research in cognitive neuroscience. Their work will stimulate new thinking in anyone interested in the mind or brain and in recent theories of their connections.
Theory and Method In The Neurosciences
Author: Peter Machamer
language: en
Publisher: University of Pittsburgh Pre
Release Date: 2017-03-15
Theory and Method in the Neurosciences surveys the nature and structure of theories in contemporary neuroscience, exploring many of its methodological techniques and problems. The essays in this volume from the Pittsburgh -Konstanz series explore basic questions about how to relate theories of neuroscience and cognition, the multilevel character of such theories, and their experimental bases. Philosophers and scientists (and some who are both) examine the topics of explanation and mechanisms, simulation and computation, imaging and animal models that raise questions about the forefront of research in cognitive neuroscience. Their work will stimulate new thinking in anyone interested in the mind or brain and in recent theories of their connections.
Neural Control Engineering
How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment—including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application—Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.