| Proj No. | A2069-251 |
| Title | Design and Investigation of Silicon Neuron |
| Summary | This project aims to design a silicon neuron through an analog and mixed-signal design approach, and to investigate the effect of process variation on the performance of the silicon neuron. A silicon neuron is a hardware component that mimics the behavior of biological neurons and has various applications, particularly in the fields of artificial intelligence (AI), neuromorphic computing, and bio-inspired systems. The specific objectives of this project are: (i) to design an ultra-low-power, sub-threshold silicon neuron; (ii) to simulate device variations in the sub-threshold regions resulting from process, voltage, and temperature (PVT) variations; and (iii) to analyze the impact of these device variations on the performance of the silicon neuron. Additionally, the project will include a comprehensive literature review on silicon neuron hardware design and its applications in AI hardware modeling. |
| Supervisor | Dr Ge Tong (Loc:S1 > S1 B1C > S1 B1C 97, Ext: +65 67904535) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | INTEGRATED SYSTEMS RESEARCH (Loc: S1-B2A-04) |
| Single/Group: | Single |
| Area: | Smart Electronics and IC design |
| ISP/RI/SMP/SCP?: |