Table 1.

A summary of the experiments.

No.	Algorithm	Datasets	Experiment
1.	ANN	N-MNIST, N-Caltech101, DvsGesture	All spikes are summed up over time (thereby eradicating spike time information), and classified by an ANN. This is to examine if the lack of spike timing information affects accuracy.
2.	RD-STDP and STDP-tempotron	N-MNIST and DvsGesture	Two algorithms are compared, one which classifies static data, and another that can classify spatio-temporal data, on the two datasets.
3.	RD-STDP	N-MNIST	We explore if fixing the output spike time affects the accuracy.
4.	Population rate dependent plasticity (new rule)	N-MNIST	A handcrafted plasticity rule based on the population rate is used to classify the dataset—to understand if a purely population rate based rule can affect the accuracy.