Lecture 11a - Spiking neural networks

Teacher: Javier Cuadrado Aníbarro (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

Slides

SLIDES

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