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Die Herstellung eines neuromorphen visuellen Systems von Christoph Rasche (englisch) Hardcov

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Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
ISBN-13
9780387234687
Book Title
The Making of a Neuromorphic Visual System
ISBN
9780387234687
Publication Year
2004
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Making of a Neuromorphic Visual System
Author
Christoph Rasche
Item Length
9.3in
Publisher
Springer
Item Width
6.1in
Item Weight
31 Oz
Number of Pages
Xi, 140 Pages

Über dieses Produkt

Product Information

Arma virumque cano, Trojae qui primus ab oris Italiamfato profugus, Laviniaque venit litora. This is the beginning of Ovid's story about Odysseus leaving Trojae to find his way home. I here tell about my own Odysee-like ex- riences that I have undergone when I attempted to simulate visual recognition. The Odyssee started with a structural description - tempt, then continued with region encoding with wave propagation and may possibly continue with a mixture of several shape descr- tion methods. Although my odyssey is still under its way I have made enough progress to convey the gist of my approach and to compare it to other vision systems. My driving intuition is that visual category representations need to be loose in order to be able to cope with the visual structural va- ability existent within categories and that these loose representations are somehow expressed as neural activity in the nervous system. I - gard such loose representations as the cause for experiencing visual illusions and the cause for many of those effects discovered in att- tional experiments. During my effort to find such loose represen- tions, I have made sometimes unexpected experiences that forced me to continuously rethink my approach and to abandon or turn over some of my initially strongly believed viewpoints.

Product Identifiers

Publisher
Springer
ISBN-10
0387234683
ISBN-13
9780387234687
eBay Product ID (ePID)
43544591

Product Key Features

Author
Christoph Rasche
Publication Name
Making of a Neuromorphic Visual System
Format
Hardcover
Language
English
Publication Year
2004
Type
Textbook
Number of Pages
Xi, 140 Pages

Dimensions

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

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Rc321-580
Reviews
From the reviews: "Psychologist Rasche ... presents an approach to the construction of a visual system. ... Past theories of visual object and shape recognition in computer vision studies are reviewed. From these studies there is proposed a completely novel shape-recognition architecture that can recognize simple shapes under various degraded situations. ... Summing Up: Recommended. Graduate students through professionals, and those interested in the psychology of visual systems." (C. Tappert, CHOICE, Vol. 42 (9), May, 2005), From the reviews:"Psychologist Rasche … presents an approach to the construction of a visual system. … Past theories of visual object and shape recognition in computer vision studies are reviewed. From these studies there is proposed a completely novel shape-recognition architecture that can recognize simple shapes under various degraded situations. … Summing Up: Recommended. Graduate students through professionals, and those interested in the psychology of visual systems." (C. Tappert, CHOICE, Vol. 42 (9), May, 2005), From the reviews: "Psychologist Rasche a? presents an approach to the construction of a visual system. a? Past theories of visual object and shape recognition in computer vision studies are reviewed. From these studies there is proposed a completely novel shape-recognition architecture that can recognize simple shapes under various degraded situations. a? Summing Up: Recommended. Graduate students through professionals, and those interested in the psychology of visual systems." (C. Tappert, CHOICE, Vol. 42 (9), May, 2005)
Table of Content
1: Seeing: Blazing Processing Characteristics1.1 An Infinite Reservoir of Information1.2 Speed 1.3 Illusions1.4 Recognition Evolvement1.5 Basic-Level Categorization1.6 Memory Capacity and Access1.7 Summary2: Category Representation and Recognition Evolvement2.1 Structural Variability Independence2.2 Viewpoint Independence2.3 Representation and Evolvement2.4 Recapitulation2.5 Refining the Primary Engineering Goal3: Neuroscientific Inspiration3.1 Hierarchy and Models3.2 Criticism and Variants3.3 Speed3.4 Alternative 'Codes'3.5 Alternative Shape Recognition3.6 Insight from Cases of Visual Agnosia3 7 Neuronal Level3.8 Recapitulation and Conclusion4: Neuromorphic Tools4.1 The Transistor4.2 A Synaptic Circuit4.3 Dendritic Compartments4.4 An Integrate-and-Fire Neuron4.5 A Silicon Cortex4.6 Fabrication Vagrancies require Simplest Models4.7 Recapitulation5: Insight From Line Drawings Studies5.1 A Representation with Polygons 5.2 A Representation with Polygons and their Context5.3 Recapitulation6: Retina Circuits Signaling and Propagating Contours 6.1 The Input: a Luminance Landscape 6.2 Spatial Analysis in the Real Retina 6.3 The Propagation Map 6.4 Signaling Contours in Gray-Scale Images 6.5 Recapitulation7: The Symmetric-Axis Transform 7.1 The Transform 7.2 Architecture 7.3 Performance 7.4 SAT Variants 7.5 Fast Waves 7.6 Recapitulation8: Motion Detection8.1 Models8.2 Speed Detecting Architectures8.3 Simulation8.4 Biophysical Plausibility8.5 Recapitulation9: Neuromorphic Architectures: Pieces and Proposals 9.1 Integration Perspectives 9.2 Position and Size Invariance 9.3 Architecture for a Template Approach 9.4 Basic-Level Representations 9.5 Recapitulation 10: Shape Recognition with ContourPropagation Fields 10.1 The Idea of the Contour Propagation Field 10.2 Architecture 10.3 Testing 10.4 Discussion 10.5 Learning 10.6 Recapitulation 11: Scene Recognition11.1 Objects in Scenes, Scene Regularity11.2 Representation, Evolvement, Gist11.3 Scene Exploration11.4 Engineering11.5 Recapitulation12: Summary12.1 The Quest for Efficient Representation and Evolvement12.2 Contour Extraction and Grouping12.3 Neuroscientific Inspiration12.4 Neuromorphic Implementation12.5 Future ApproachTerminologyReferences IndexKeywordsAbbreviations
Copyright Date
2005
Target Audience
Scholarly & Professional
Topic
Neuroscience, Electronics / Circuits / Integrated, Neural Networks, Life Sciences / Zoology / General, Biomedical
Lccn
2004-058992
Dewey Decimal
006.3/2
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Technology & Engineering, Science, Medical

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