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

Computational Neuroscience: The Basics

Conceptual Background & Refreshers