On the Construction of Artificial Brains
This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a feature pyramid with 8 orientations and 5 resolution levels for 1000 objects and net...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Prologue
- The Difficulty of Modelling Artificial Brains
- Information Processing in Nets with Constant Synapses
- Theory of Nets with Constant or Dynamic Synapses
- Macro-Dynamics of Nets with Constant Synapses
- Information Processing with Dynamic Synapses
- Nets for Feature Detection
- Nets for Feature Recognition
- Nets for Robust Head Detection
- Extensions of the Vision Architecture
- Look-out
- Preliminary Considerations on the Microelectronic Implementation
- Elementary Circuits for Neurons, Synapses, and Photosensors
- Simulation of Microelectronic Neural Circuits and Systems
- Architecture and Chip Design of the Feature Recognizer
- Architecture and Chip Design of the Feature Detector
- 3D Stacking Technology
- Architecture of First Generation Vision Cube
- End.
