Includes abstract.Includes bibliographical references (leaves 85-88).The study of neural networks is inspired by the mystery of how the brain works. In a quest to solve this mystery, scientists and engineers hope that they will learn how to build more powerful computational systems that are capable of processing information much more efficiently than today’s digital computer systems. This dissertation involves a biologically inspired circuit which can be used as an alternative for a cross correlation engine. Cross correlation engines are widely used in spread spectrum, wireless communication systems that use digital spreading codes to divide a single communication medium into separate channels. This technology is used in many systems such a...
High-frequency firing activity can be induced either naturally in a healthy brain as a result of the...
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
Neuromorphic engineering is an emerging research field which explores methodologies for implementing...
Includes abstract.Includes bibliographical references (leaves 56-62).Correlation engines are essenti...
The cross-correlation function is an important yet computationally intensive processing step in many...
The cross-correlation and auto-correlation operations are important in many signal processing tasks....
Brain connectivity networks help physicians better understand the neurological effects of certain di...
The automatic design of intelligent systems has been inspired by biology, specifically the operation...
Neuromorphic computing has emerged as a promising avenue towards building the next generation of int...
This paper gives an overview of a project involving the application of neural networks to Telecommun...
Thanks to the availability of new biomedical technologies and analysis methodologies, the quality of...
This paper presents an algorithm for extracting underlying frequency components of massive Electroen...
The advances in robotics are often inspired by biological systems, which have attained harmonised fu...
Learning is central to infusing intelligence to any biologically inspired system. This study introdu...
Human brains demonstrate how simple computational primitives can be combined in massively parallel w...
High-frequency firing activity can be induced either naturally in a healthy brain as a result of the...
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
Neuromorphic engineering is an emerging research field which explores methodologies for implementing...
Includes abstract.Includes bibliographical references (leaves 56-62).Correlation engines are essenti...
The cross-correlation function is an important yet computationally intensive processing step in many...
The cross-correlation and auto-correlation operations are important in many signal processing tasks....
Brain connectivity networks help physicians better understand the neurological effects of certain di...
The automatic design of intelligent systems has been inspired by biology, specifically the operation...
Neuromorphic computing has emerged as a promising avenue towards building the next generation of int...
This paper gives an overview of a project involving the application of neural networks to Telecommun...
Thanks to the availability of new biomedical technologies and analysis methodologies, the quality of...
This paper presents an algorithm for extracting underlying frequency components of massive Electroen...
The advances in robotics are often inspired by biological systems, which have attained harmonised fu...
Learning is central to infusing intelligence to any biologically inspired system. This study introdu...
Human brains demonstrate how simple computational primitives can be combined in massively parallel w...
High-frequency firing activity can be induced either naturally in a healthy brain as a result of the...
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
Neuromorphic engineering is an emerging research field which explores methodologies for implementing...