Graduate Research SchoolNeuromorphic AcceleratorsWestern Sydney University Unit Code: 800231.1
Discipline: ELECTRONIC ENGINEERING
Student Contribution Band: 2
Level: 6
Credit Points: 10
Assumed Knowledge
Proficient in Python, basic in neural computing, basic in spiking neural networks
Unit Enrolment Restrictions
Must be enrolled in 8124 Master of Applied Neuromorphic Engineering
About this Unit
Problem-oriented thinking and distributed system design are essential for neuromorphic engineers. This unit is designed to provide students with sufficient understanding to neuromorphic processor. Students will be able to implement spiking neural networks by programming neuromorphic processors The lab work and programming assignments focus on different key aspects of programming neuromorphic processor: Neural modelling, Python programming, debugging code and hardware/software co-simulation. The workshops focus on the concrete implementation of neural networks.
Courses| 8123.1 | Master of Neuromorphic Engineering | CURRENT |
| 8124.1 | Master of Applied Neuromorphic Engineering | CURRENT |
| 8125.1 | Graduate Diploma in Neuromorphic Engineering (exit only) | CURRENT |