Ein analoges VLSI-System für stereoskopisches Sehen von Misha Mahowald (Englisch) Paperb-

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An Analog VLSI System for Stereoscopic Vision by Misha Mahowald (English) Paperb
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ISBN-13
9781461361749
Book Title
An Analog VLSI System for Stereoscopic Vision
ISBN
9781461361749
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Springer
ISBN-10
1461361745
ISBN-13
9781461361749
eBay Product ID (ePID)
169567176

Product Key Features

Number of Pages
Xv, 215 Pages
Language
English
Publication Name
Analog Vlsi System for Stereoscopic Vision
Publication Year
2012
Subject
Electronics / Circuits / General, Electrical, System Theory
Type
Textbook
Subject Area
Technology & Engineering, Science
Author
Misha Mahowald
Series
The Springer International Series in Engineering and Computer Science Ser.
Format
Trade Paperback

Dimensions

Item Weight
12.9 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
TitleLeading
An
Dewey Edition
20
Series Volume Number
265
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3/7
Table Of Content
1 Synthesis.- 2 The Silicon Retina.- 2.1 Anatomical Models.- 2.2 Architecture of the Silicon Retina.- 2.3 Photoreceptors.- 2.4 Horizontal Cells.- 2.5 Bipolar Cells.- 2.6 Physical Constraints on Information Processing.- 2.7 Emergent Properties.- 3 The Silicon Optic Nerve.- 3.1 Summary of Existing Techniques.- 3.2 Address-Event Representation.- 3.3 Model of Data-Transfer Timing Efficiency.- 3.4 Data Transfer in One Dimension.- 3.5 Two-Dimensional Retina-Receiver System.- 3.6 Advantages of Address Events.- 4 Stereopsis.- 4.1 Stereocorrespondence.- 4.2 Neurophysiology.- 4.3 Stereocorrespondence Algorithms.- 4.4 Stereocorrespondence Chip.- 4.5 Experiments.- 4.6 Stereocorrespondence as a Model of Cortical Function.- 5 System.- A Simple Circuits.- A.1 Transistors.- A.2 Current Mirrors.- A.3 Differential Pairs.- A.4 Transconductance Amplifiers.- A.5 Low-Pass Filter.- A.6 Resistor.
Synopsis
An Analog VLSI System for Stereoscopic Vision investigates the interaction of the physical medium and the computation in both biological and analog VLSI systems by synthesizing a functional neuromorphic system in silicon. In both the synthesis and analysis of the system, a point of view from within the system is adopted rather than that of an omniscient designer drawing a blueprint. This perspective projects the design and the designer into a living landscape. The motivation for a machine-centered perspective is explained in the first chapter. The second chapter describes the evolution of the silicon retina. The retina accurately encodes visual information over orders of magnitude of ambient illumination, using mismatched components that are calibrated as part of the encoding process. The visual abstraction created by the retina is suitable for transmission through a limited bandwidth channel. The third chapter introduces a general method for interchip communication, the address-event representation, which is used for transmission of retinal data. The address-event representation takes advantage of the speed of CMOS relative to biological neurons to preserve the information of biological action potentials using digital circuitry in place of axons. The fourth chapter describes a collective circuit that computes stereodisparity. In this circuit, the processing that corrects for imperfections in the hardware compensates for inherent ambiguity in the environment. The fifth chapter demonstrates a primitive working stereovision system. An Analog VLSI System for Stereoscopic Vision contributes to both computer engineering and neuroscience at a concrete level. Through the construction of a working analog of biological vision subsystems, new circuits for building brain-style analog computers have been developed. Specific neuropysiological and psychophysical results in terms of underlying electronic mechanisms are explained. These examples demonstrate the utility of using biological principles for building brain-style computers and the significance of building brain-style computers for understanding the nervous system.
LC Classification Number
TK7867-7867.5

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