Energy Efficient Feature Extraction for Single-Lead ECG Classification Based On Spiking Neural Networks

Cardiovascular diseases are the leading cause of death in the devel- oped world. Preventing these deaths, require long term monitoring and manual inspection of ECG signals, which is a very time consum- ing process. Consequently, a wearable system that can automatically categorize beats is essential.<br/>Neuromorphic machines have been introduced...

Full-Custom Multi-Compartment Synaptic Circuits in Neuromorphic Structures

Neuromorphic engineering, aiming at emulating neuro-biological architectures in efficient ways, has been widely studied both on com- ponent and VLSI system level. The design space of neuromorphic neuron, the basic unit to conduct signal processing and transmission in nervous system, has been widely explored while that of synapse, the specialized...

Multi-FPGA Interconnect Simulation

The scalable simulation of neuron communication needs a large<br/>amount of computing resources. The high throughput of data cause<br/>the high requirement of interconnect network. This thesis is aimed<br/>at the finding the efficient multi-FPGA connection for the neuron<br/>network. First describe the characteristics of the network in terms<br/...

A System-Level Aging and Mitigation Assessment Simulation Framework

As technology scaling enters the nanometer regime, device aging effects cause quality and reliability issues in CMOS Integrated Circuits (ICs), which in turn shorten its lifetime. Evaluating system aging through circuit simulations is very complex and time consuming. In this thesis, a framework is proposed, which allows for the evaluation of...