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Some Simple Models of Neurons

Difficulty level

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Topics covered in this lesson
  • Idealized neurons.
  • Linear neurons and their computational limits.
  • Binary threshold neurons, McCullogh-Pitts.
  • Linear threshold neurons.
  • Sigmoid neurons.
  • Stochastic binary neurons.