Lecture 12a - Spiking neural networks
Teacher: Ismail Khalfaoui Hassani (ANITI).
Lecture video
View the recorded lecture here (this will only be available for approximately 6 weeks after the course)
Contents
- Generalities about spiking neural networks.
- Classical models.
- Numerical methods for some ordinary differential equations.
- Spiking neural networks and backward propagation.
- Discretization of LIF model.
- Surrogate gradient.
- Spike-timing-dependant plasticity.
- The phenomenological model.
- Some properties.