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 Computer-Controlled Microscope as a Device for Evaluating Autoradiographs, laboratory, we interfaced a microscope to a PDP-12 computer in 1972. Since that time, the system has been applied to various aspects of autoradiographic evaluation of nerves labeled with tritiated amino acids. Similar devices are now available commercially (Altaian, 1963; Prensky, 1971), and severa

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Tree Analysis of Neuronal Processes,ion of a tree. The description of size, shape, and density of the dendritic arborization seems to be characteristic for groups of neurons. Neurons have been classified by type using these subjective characteristics derived from observational techniques. However, closer examination of the dendritic b

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Neuronal Field Analysis Using Fourier Series,r in nature to the structure of a tree. Data models have been developed which approximate these complex structures to within a certain degree of resolution. The data model most commonly used to represent the bifurcating structure of neuronal processes is the . or . (Lindsay, Chapter 1). Automated da

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Neuron Orientations: A Computer Application,th other observed changes in neural characteristics [such as the orientation of their visual fields (Hubel and Wiesel, 1962)]? This question is under investigation, with the physical parameter in question being the “orientation” of the dendritic field of the neuron. In this chapter, computer-based t

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Introduction to Social Network Computingeurohistologists still follow his method of drawing and describing the delicately impregnated neurons using the Golgi technique. Although this method has enormously advanced our understanding of the structure of central nervous systems, the method is subjective and, as a consequence, has led to many

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Strong and Weak Ties in Social Networks 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