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  • Book
    Xiaoxiang Zheng, editor.
    Summary: This book focuses on the frontiers of neural interface technology, including hardware, software, neural decoding and encoding, control systems, and system integration. It also discusses applications for neuroprosthetics, neural diseases and neurorobotics, and the toolkits for basic neuroscience. A neural interface establishes a direct communication channel with the central or peripheral nervous system (CNS or PNS), and enables the nervous system to interact directly with the external devices. Recent advances in neuroscience and engineering are speeding up neural interface technology, paving the way for assisting, augmenting, repairing or restoring sensorimotor and other cognitive functions impaired due to neurological disease or trauma, and so improving the quality of life of those affected. Neural interfaces are now being explored in applications as diverse as rehabilitation, accessibility, gaming, education, recreation, robotics and human enhancement. Neural interfaces also represent a powerful tool to address fundamental questions in neuroscience. Recent decades have witnessed tremendous advances in the field, with a huge impact not only in the development of neuroprosthetics, but also in our basic understanding of brain function. Neural interface technology can be seen as a bridge across the traditional engineering and basic neuroscience. This book provides researchers, graduate and upper undergraduate students from a wide range of disciplines with a cutting-edge and comprehensive summary of neural interface engineering research.

    Contents:
    Advances in Penetrating Multichannel Microelectrodes Based on the Utah Array Platform
    EEG-based Brain Computer Interface
    Invasive Brain Machine Interface System
    Peripheral Neural Interface
    Brain-Machine Interface Based Rat-robot Behavior Control
    EMG-based Prosthetic Control
    Cochlear Implants
    Neuromodulation for Pain Management
    Future of Neural Interfaces.
    Digital Access Springer 2019
  • Book
    Randall D. Beer.
    Summary: The "intelligence" of traditonal artificial intelligence systems is notoriously narrow and inflexible-incapable of adapting t the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains such as autonomous robot navigation. This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments-s?ggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. Nielsen 9780120847303 20160528

    Contents:
    Foundations. Biological Background. The Artificial Insect. Locomotion Controller. Lesion Studies. Exploration. Feeding. Behavioral Choice. Discussion. Appendixes: Physical Parameters. Neural Parameters. Nielsen 9780120847303 20160528
    Print c1990
  • Article
    Toyota T, Kakizaki M, Kimura K, Yajima M, Okamoto T, Ui M.
    Diabetologia. 1978 May;14(5):319-23.
    The early phase of insulin secretion to an oral glucose load was blunted in spontaneous diabetic rats. The blunted insulin secretion was associated with markedly impaired glucose tolerance. A single injection of the islet activating protein (IAP), a protein derived from the culture medium of Bordetella pertussis, into the spontaneous diabetic rats normalised glucose tolerance. The increase in insulin response to glucose was an important contributing factor to the improvement of glucose tolerance. This curative effect of the IAP on the diabetic state was of long duration; glucose tolerance remained virtually normal over a period of one month in the diabetic rats. Perfusion of the isolated pancreas of the diabetic rats pretreated with IAP showed an increase in insulin response to glucose and loss of suppression of glucagon secretion by noradrenaline.
    Digital Access Access Options