examples.md

layout	theme	title	pageTitle
md_page	theme-blue	Example models	Nengo Examples

Tutorials accessible in NengoGUI

The basics of how to build models and visualize them with NengoGUI are described in tutorials built into the NengoGUI. Access them through the built-in examples folder in the file view at the top-left.


• basics shows the basic features of NengoGUI in no particular order. Start here if you want a brief overview.
• hbb_tutorials is a set of tutorials from the book How to Build a Brain, updated to work with current versions of Nengo.
• recurrent shows some dynamic neural networks like attractor networks that are straightforward to implement in Nengo.
• tutorial is a set of 25 guided examples going from a network of one neuron to networks of hundreds of thousands of neurons implementing cognitive models.

Deep learning

• Coming from TensorFlow to NengoDL
• Coming from Nengo to NengoDL
• Classifying MNIST digits with a spiking neural network
• State of the art psMNIST results using Legendre Memory Units (LMUs)
• Other NengoDL examples

Neuromorphic hardware

• Keyword spotting with NengoLoihi
• Nonlinear adaptive control with NengoLoihi
• CIFAR-10 classification convolutional network with NengoLoihi
• Other NengoLoihi examples
• Lorenz chaotic attractor with NengoFPGA
• MNIST classifier with NengoFPGA
• Adaptive pendulum control with NengoFPGA
• Reinforcement learning agent with NengFPGA
• Other NengoFPGA examples

Online learning

• Supervised learning with the PES learning rule
• Supervised FORCE learning with the RLS learning rule
• Unsupervised association learning with the Voja learning rule
• Unsupervised synaptic plasticity rules

Neural Engineering Framework

• Summary of the NEF principles
• Nengo core examples
• Spiking MNIST with Gabor encoders
• Computing functions across a rolling window of time (LMU)

Cognitive modelling with SPA

• Spaun
• Simple question answering with the Semantic Pointer Architecture
• NengoSPA examples