Welcome to the BrainScaleS-2 Tutorial¶
Hello and welcome to this tutorial that will interactively guide you through your first experiments on the BrainScaleS-2 system!
You will learn the basic tools for running experiments on the BrainScaleS-2 platform. For inspiration, please refer to the following list for examples of previous scientific work done on the system:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
hxtorch: PyTorch for BrainScaleS-2 – Perceptrons on Analog Neuromorphic Hardware
Control of criticality and computation in spiking neuromorphic networks with plasticity
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Fast and energy-efficient neuromorphic deep learning with first-spike times
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Structural plasticity on an accelerated analog neuromorphic hardware system
Emulating dendritic computing paradigms on analog neuromorphic hardware
In this session, we will cover the following topics:
In this section of the tutorial, we will go through the technical details and make sure that you are correctly set up for accessing our hardware resources.
Executing the Notebooks¶
If you want to execute the notebooks yourself, you can clone them from our github repository and execute them on the EBRAINS Platform. Simply use an existing collabatory or create a new one in which you can clone the notebooks, e.g., via:
!git clone https://github.com/electronicvisions/brainscales2-demos.git --branch jupyter-notebooks-experimental
in a notebook of your JupyterLab session.
To be able to use the EBRAINS software environment for your notebook, please select the
The currently used kernel is shown in the status line at the bottom of the notebook and in the upper right hand corner of the notebook. The default is
Python 3 (ipykernel), which does not have the EBRAINS software environment installed. To select a different kernel, please klick the kernel name, then select from the appearing list.
Final test: Hardware Execution¶
Before we start with the actual tutorial, we’d like to ensure that you are correctly set up for running experiments on the BrainScaleS-2 platform. To do so, simply run the following minimal PyNN-experiment. It should terminate without errors.
import pynn_brainscales.brainscales2 as pynn pynn.setup() neurons_1 = pynn.Population(2, pynn.cells.HXNeuron()) neurons_2 = pynn.Population(3, pynn.cells.HXNeuron()) pynn.Projection(neurons_1, neurons_2, pynn.AllToAllConnector()) pynn.run(0.2) pynn.end()