Digital self-timed neuron design for Spiking Neuron Networks

Spiking Neural Networks(SNN) have been widely leveraged by neuromorphic systems due to their ability to closely mimic biological neural behavior, where information is exchanged and received between neurons in the form of sparse events(spikes). Such neuromorphic systems are highly energy-efficient because the use of a global clock can be avoided...

Self-timed interconnect for SNN - From Point to Point Communication to Multi-array Segmented-bus Solution

Spiking Neural Networks use Address Event Representation to communicate among different Neuron Arrays. To mimic the behavior of the human neural system and meets the requirement for large Neuron Array communication, the AER interconnect should be area-saving, have low power, and operates at high speed.<br/>This thesis aims to build self-timed...

A high-resolution self-timed zero-crossing-based Incremental ?? ADC

This thesis discusses the d es ign and verification of a high-resolution self-timed incremental ?? ADC. The first self-timed incremental ?? ADC was presented by C.Chen et.al at ISSCC 2013 and this work targets to improve the resolution, linearity and energy-efficiency of a self-timed ADC. Unlike conventional ?? ADCs, a self -timed ADC is capable...

Energy-Efficient Self-Timed Zero-Crossing-Based Incremental Delta-Sigma ADC