An Ultra-Low-Power Neuromorphic Spiking Neuron Design

Description

Integrate-and-Fire (IAF) neurons are widely available in neuromorphic spike-processing applications. Analog LIF neurons are considered a breakthrough to realize fully analog, fully asynchronous spiking neural network implementation for ultra-low-power AI-embedded systems. In this project, you will seek to realize an analog ultra-low-power (thus low energy/spike) LIF neuron, having a very low-frequency spiking rate (e.g., <100Hz). The prerequisite course is Analog integrated circuits. If the design result is promising, the study will be summarized and submitted to IEEE conferences such as ISCAS/BioCAS.

Status: To be Available

Looking for master or semester thesis students

Supervisor: Kwantae Kim <kimkwa@ethz.ch>

Prerequisites

• Analog Circuit Design

Character

• 20% Literature review
• 20% Theory
• 60% Circuit Design

Professor

Prof. Taekwang Jang <tjang@ethz.ch>

Reference

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Practical Details

• Project Plan
• Project Meetings
• Final Report
• Final Presentation