Featured examples

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

Extra examples