See the tutorial here.

The next tutorial from UCSC’s Brain-Inspired Machine Learning class is by Dylan J. Louie, Hannah Cohen Sandler and Shatoparba Banerjee.

They show how to train an SNN for tactile sensing using the Spiking-Tactile MNIST Neuromorphic Dataset. This dataset was developed in Benjamin C.K. Tee‘s lab in NUS. It consists of handwritten digits obtained by human participants writing on a neuromorphic tactile sensor array.

For more information about the dataset, see the preprint by Hian Hian See et al. here.