Lecture 11a - Spiking neural networks
Teacher: Ulysse Rancon (PhD Student, CNRS).
Contents
- Introduction:
- Artificial Neural Networks
- The biological neuron
- What is the interest of Spiking Neural Networks (SNNs)?
- Human Brain vs Artificial Neural Networks
- Why using SNNs?
- Description Levels
- Neuromorphic Hardware:
- Neuron models:
- Hodgkin-Huxley Model
- Izhikevich Model
- Leaky Integrate-and-Fire (LIF) Model
- Training approaches:
- Spike-Timing-Dependent Plasticity
- Backward Propagation
- Closing thoughts:
- Conclusions
- Potential Applications
- References