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Network Models

Difficulty level

This lesson goes over some examples of how machine learners and computational neuroscientists go about designing and building neural network models inspired by biological brain systems. 

Topics covered in this lesson
  • Universal function approximation
  • Sound localisation circuit
  • Maximum likelihood and Bayesian estimators