This thesis presents a body of work in the field of reconfigurable and neuromorphic circuits and systems. Three main projects were undertaken. The first was using a Field-Programmable Analog Array (FPAA) to model the cable behavior of dendrites using analog circuits. The second was to design, lay out, and test part of a new FPAA, the RASP 2.9v. The final project was to use floating-gate programming to remove offsets in a neuromorphic FPAA, the RASP Neuron 1D.MSCommittee Member: Anderson, David; Committee Member: Ghovanloo, Maysam; Committee Member: Hasler, Pau
The 14 papers in this research topic were solicited primarily from attendees to the two most importa...
Neuromorphic engineering is a discipline that aims to address the shortcomings of today\u27s serial ...
Analog implementations of neural networks have several advantages over computer simulations: they ar...
The objective of the research is to demonstrate energy-efficient computing on a configurable platfor...
This work lays out the development of a reconfigurable electronic system, which is composed of biolo...
This work addresses neural and analog computation on reconfigurable mixed-signal platforms. Many eng...
This work details CMOS, bio-inspired, bio-compatible circuits which were used as synapses between an...
Analog circuit technology is of vital importance in today's world of electronic design. Increasing p...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
This work is a first step towards a long-term goal of understanding computations occurring in the br...
Conventional Von Neumann architecture faces significant challenges as the device dimensions are scal...
According to Moore’s law the number of transistors per square inch double every two years. Scaling d...
As Moores Law has come to a halt, it has become necessary to explore alternative forms of computatio...
Large-scale reconfigurable and programmable analog devices provide a new option for prototyping and ...
Alternative computing technologies are highly sought after due to limitations on transistor fabricat...
The 14 papers in this research topic were solicited primarily from attendees to the two most importa...
Neuromorphic engineering is a discipline that aims to address the shortcomings of today\u27s serial ...
Analog implementations of neural networks have several advantages over computer simulations: they ar...
The objective of the research is to demonstrate energy-efficient computing on a configurable platfor...
This work lays out the development of a reconfigurable electronic system, which is composed of biolo...
This work addresses neural and analog computation on reconfigurable mixed-signal platforms. Many eng...
This work details CMOS, bio-inspired, bio-compatible circuits which were used as synapses between an...
Analog circuit technology is of vital importance in today's world of electronic design. Increasing p...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
This work is a first step towards a long-term goal of understanding computations occurring in the br...
Conventional Von Neumann architecture faces significant challenges as the device dimensions are scal...
According to Moore’s law the number of transistors per square inch double every two years. Scaling d...
As Moores Law has come to a halt, it has become necessary to explore alternative forms of computatio...
Large-scale reconfigurable and programmable analog devices provide a new option for prototyping and ...
Alternative computing technologies are highly sought after due to limitations on transistor fabricat...
The 14 papers in this research topic were solicited primarily from attendees to the two most importa...
Neuromorphic engineering is a discipline that aims to address the shortcomings of today\u27s serial ...
Analog implementations of neural networks have several advantages over computer simulations: they ar...