Titlebook: Computer Analysis of Neuronal Structures; Robert D. Lindsay Book 1977 Plenum Press, New York 1977 brain.cortex.nervous system.time

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A Computerized Study of Golgi-Impregnated Axons in Rat Visual Cortex, neuronal structure from a variety of tissue preparations displayed under a light microscope, but is most suited to the measurement of fiber trees as they appear in rapid Golgi or Golgi-Cox preparations.

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A Measuring System for Analyzing Neuronal Fiber Structure,erebal cortex is out of the question, we must ask what are the functionally significant parameters of neural structure. Thus the prejudices of the experimenter are unfortunately imprinted on the investigations at the outset, and we should be aware of some inevitable circularity in our approach.

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A Computer-Controlled Microscope as a Device for Evaluating Autoradiographs,l have been described in the literature (Boyle and Whitlock, 1974; Stengel-Rutkowski .., 1974; Wann .., 1974). Computers have been used with microscopes in other applications for some time (Garvey .., 1972, 1973; Glaser and Van der Loos, 1965; Izzo and Coles, 1962; Ledley, 1964).

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Tree Analysis of Neuronal Processes,ranching patterns, reveals continuous structural variation within each neuron type. A knowledge of the design principles for the neuronal processes is fundamental to understanding the functional interaction of neurons.

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Book 1977and reconstruct elements of the neural en~emble are all very much in his debt. Sholl was certainly not the first to attempt quantification of certain aspects of brain structure. No computers were available to him for the kind of answers he sought, and some of his answers - or rather his interpretati

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Computer Reconstruction of Invertebrate Nerve Cells, visualize the three-dimensional structure of neurons but also to quantify their important anatomical parameters. The ease with which such measurements can be made provides a new and important tool to those of us hoping to correlate the structure of single and identifiable nerve cells with their fun

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A Measuring System for Analyzing Neuronal Fiber Structure,tion more obscure than in the mammalian central nervous system. Certainly, any progress in our understanding of cerebral function requires us to know more about brain structure. But the converse is also true. Since a precise specification of the vast neural network encountered, for example, in the c

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