{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Oxford example\n", "\n", "This tutorial demonstrates the `lava.lib.dl.netx` api for running Oxford network trained using `lava.lib.dl.slayer`. The training example can be found here [here](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/oxford/train.ipynb)\n", "\n", "The task is to learn to transform a random Poisson spike train to an output spike pattern that resembles The Radcliffe Camera building of Oxford University, England. The input and output both consist of 200 neurons each and the spikes span approximately 1900ms. The input and output pair are converted from [SuperSpike](https://github.com/fzenke/pub2018superspike) (© GPL-3).\n", "\n", "
Input | \n", "Output | \n", "
\n", " | \n", " |