System and Circuit Design for Biologically-Inspired Intelligent Learning
Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | ISBN: | 9781466607729 | |
| Publisher: | IGI Global | Publication: | October 31, 2010 |
| Imprint: | Medical Information Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781466607729 |
| Publisher: | IGI Global |
| Publication: | October 31, 2010 |
| Imprint: | Medical Information Science Reference |
| Language: | English |
Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for Biologically-Inspired Intelligent Learning aims to bridge that gap in the belief that compact organization and arrangement of the circuit and system design will be a major factor in attaining the pursued benefits of biological systems. Including research from abstract fields such as psychology to more concrete topics including circuit design, this text is designed for even fresh reader to make a smooth transition from principles to system/circuit architectures which simulate learning intelligence.
Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for Biologically-Inspired Intelligent Learning aims to bridge that gap in the belief that compact organization and arrangement of the circuit and system design will be a major factor in attaining the pursued benefits of biological systems. Including research from abstract fields such as psychology to more concrete topics including circuit design, this text is designed for even fresh reader to make a smooth transition from principles to system/circuit architectures which simulate learning intelligence.
