Some simple models of neurons

Introduction to simple abstract models of neurons. Speaker: Geoffrey Hinton.

By University of Toronto
Published Nov, 2013

Learning materials

External links


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

Idealized neurons. Linear neurons and their computational limits. Binary threshold neurons, McCullogh-Pitts. Linear threshold neurons. Sigmoid neurons. Stochastic binary neurons.