Making of a Neuromorphic Visual System (eBook)

1: Seeing: Blazing Processing Characteristics
1.1 An Infinite Reservoir of Information
1.2 Speed
1.3 Illusions
1.4 Recognition Evolvement
1.5 Basic-Level Categorization
1.6 Memory Capacity and Access
1.7 Summary

2: Category Representation and Recognition Evolvement
2.1 Structural Variability Independence
2.2 Viewpoint Independence
2.3 Representation and Evolvement
2.4 Recapitulation
2.5 Refining the Primary Engineering Goal

3: Neuroscientific Inspiration
3.1 Hierarchy and Models
3.2 Criticism and Variants
3.3 Speed
3.4 Alternative ‘Codes’
3.5 Alternative Shape Recognition
3.6 Insight from Cases of Visual Agnosia
3 7 Neuronal Level
3.8 Recapitulation and Conclusion

4: Neuromorphic Tools
4.1 The Transistor
4.2 A Synaptic Circuit
4.3 Dendritic Compartments
4.4 An Integrate-and-Fire Neuron
4.5 A Silicon Cortex
4.6 Fabrication Vagrancies require Simplest Models
4.7 Recapitulation

5: Insight From Line Drawings Studies
5.1 A Representation with Polygons
5.2 A Representation with Polygons and their Context
5.3 Recapitulation

6: 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 Recapitulation

7: The Symmetric-Axis Transform
7.1 The Transform
7.2 Architecture
7.3 Performance
7.4 SAT Variants
7.5 Fast Waves
7.6 Recapitulation

8: Motion Detection
8.1 Models
8.2 Speed Detecting Architectures
8.3 Simulation
8.4 Biophysical Plausibility
8.5 Recapitulation

9: 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 Recognition
11.1 Objects in Scenes, Scene Regularity
11.2 Representation, Evolvement, Gist
11.3 Scene Exploration
11.4 Engineering
11.5 Recapitulation

12: Summary
12.1 The Quest for Efficient Representation and Evolvement
12.2 Contour Extraction and Grouping
12.3 Neuroscientific Inspiration
12.4 Neuromorphic Implementation
12.5 Future Approach

Terminology

References
Index
Keywords
Abbreviations