Results 241 to 250 of about 222,548 (288)
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1991
Abstract By the middle of the nineteenth century, the task of understanding the nerve cell as a cellular unit depended on answering several questions: (1) how do axis cylinders arise from nerve cells? (2) what is the extent and significance of the pale branched processes of nerve cells?
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Abstract By the middle of the nineteenth century, the task of understanding the nerve cell as a cellular unit depended on answering several questions: (1) how do axis cylinders arise from nerve cells? (2) what is the extent and significance of the pale branched processes of nerve cells?
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1978
A most important problem of brain physiology and embryology is the topic “can an apparently unorganized system of interconnected neurons develop of itself into a system of more orderly interconnected neurons?” The paper shows, by means of an example, that this can indeed occur and how.
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A most important problem of brain physiology and embryology is the topic “can an apparently unorganized system of interconnected neurons develop of itself into a system of more orderly interconnected neurons?” The paper shows, by means of an example, that this can indeed occur and how.
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Large Artificial Nerve Net (LANNET)
IEEE Transactions on Military Electronics, 1963This report describes the implementation of a high speed self-organizing system based on the reinforcement principle. The self-organizing binary logical network is used as the primary component in the system. The learning system is a 1024 decision element netwolk with a general purpose program to enable the operator to simulate a large number of ...
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Changes in conduction velocity within a nerve net
Journal of Neurobiology, 1974AbstractConduction velocity within the through‐conducting nerve net of the sea anemone Calamactis praelongus is altered as a result of the passage of one or more impulses. Facilitation of conduction velocity occurs when the second evoked impulse follows the first by less than 2 sec.
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Improved U-Net Model for Nerve Segmentation
2017Noticeable gains in computer vision have been made as a result of the large-scale datasets and deep convolutional neural networks (CNNs). CNNs have been used in a wide variety of tasks, for instance, recognition, detection, and segmentation. Recently, due to the open medical images datasets, CNNs have been used in Computer Aided Detection (CADe) to ...
Houlong Zhao, Nongliang Sun
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Complementary Therapies in Nursing and Midwifery, 1996
Fran Biley, Denise Rankin-Box
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Fran Biley, Denise Rankin-Box
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A NERVE NET SYSTEM IN MODAL LOGIC
1963Abstract : The nerve nets or automata as developed in the theories of McCulloch and Shannon exhibit a two valued extensional logic; i.e., Boolean algebra or a variation of it. The results of this mathematical and logical model are only applica ble to a limited degree to the actual function ing of living organisms.
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Neirofiziologiia = Neurophysiology, 1986
The possibility of generation of long-term activity in the stochastic uniform networks consisting of neuron-like threshold elements was analyzed by the mathematical simulation model. It was shown that the long-term (hundreds of milliseconds) self-stopping activity in the networks with a positive feed-back between units can be generated.
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The possibility of generation of long-term activity in the stochastic uniform networks consisting of neuron-like threshold elements was analyzed by the mathematical simulation model. It was shown that the long-term (hundreds of milliseconds) self-stopping activity in the networks with a positive feed-back between units can be generated.
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