evt_MNIST: A spike based version of traditional MNIST

Understand

Benchmarks and datasets have important role in evaluation of machine learning algorithms and neural network implementations.

• Traditional dataset for images such as MNIST is applied to evaluate efficiency of different training algorithms in neural networks.
• This demand is different in Spiking Neural Networks (SNN) as they require spiking inputs.
• It is widely believed, in the biological cortex the timing of spikes is irregular.