Difference between revisions of "An Ultra-Low-Power Neuromorphic Spiking Neuron Design"
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Revision as of 16:41, 20 October 2023
Contents
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 integrated circuits
Character
- 20% Literature review
- 20% Theory
- 60% Circuit Design
Professor
Prof. Taekwang Jang <tjang@ethz.ch>
Reference
[1] ↑ top
