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書誌情報:Analog VLSI circuits for sensorimotor feedback
Stephen P. DeWeerth.
Pasadena, Calif. : California Institute of Technology, Computer Science Dept. , [1991].
xvi, 147 p. : ill. ; 28 cm.



  


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書誌詳細
刊年1991
形態xvi, 147 p. : ill. ; 28 cm.
別書名Technical report. California Institute of Technology. Computer Science Dept. ; Caltech-CS-TR-91-13
シリーズ名California Institute of Technology.bib Computer Science Dept.Technical report ; Caltech-CS-TR-91-13.
注記Cover title.
"27 May 1991"--Thesis page.
Thesis (Ph. D.)--California Institute of Technology, 1991.
Includes bibliographical references.
Photocopy. Ann Arbor, MI : UMI, 1992. 22 cm.
Abstract: "This thesis presents a design framework and circuit implementations for integrating sensory and motor processing onto very large-scale integrated (VLSI) chips. The designs consist of analog circuits that are composed of bipolar and subthreshold MOS transistors. The primary emphasis in this work is the transformation from the spatially- encoded representation found in sensory images to a scalar representation that is useful for controlling motor systems. The thesis begins with a discussion of the aggregation of sensory signals and the resulting extraction of high-level features from sensory images. An integrated circuit that computes the centroid of a visual image is presented. A theoretical analysis of the function of this circuit in stimulus localization and a detailed error analysis are also presented.
Next, the control of motors using pulse trains is discussed. Pulse-generating circuits for use in bidirectional motor control and the implementation of traditional control schemes are presented. A method for analyzing the operation of these controllers is also discussed. Finally, a framework for the combination of sensory aggregation and pulse-encoded outputs is presented. The need for signal normalization and circuits to perform this task are discussed. Two complete sensorimotor feedback systems are presented."
標題言語英語
本文言語英語
著者情報DeWeerth, Stephen P.
件名LCSH:Integratedcircuits -- Verylargescaleintegration.