Some Simple Models of Neurons

By

University of Toronto

Difficulty level

Beginner

Speaker

Geoffrey Hinton

Type

Duration

8:23

Topic

Computational neuroscience

Data structures/models

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.

Back to the course

Introduction to Computational Neuroscience