Welcome to the Advanced Physics Lab for Physicists by the Electronic Vision(s) Group

Hello and welcome to this lab course! You will learn the basic tools for running experiments on the BrainScaleS-2 platform. We invite you to read the following material before you start the lab course.

• Biological background
• Neuromorphic computing
• The BrainScaleS-2 system
• Introduction to PyNN
• Lu.i experiment
• Investigating a single neuron
• A simple feedforward network
• Solving sudokus with BrainScaleS-2

Optional experiments

• Calibration: Characterising and Measuring Analog Behaviour
• Synaptic Input for Neurons
• Complex Neuron Dynamics with a Silicon Adaptive Exponential Integrate-and-Fire Neuron
• Multicompartmental Neurons
• Learning with the SuperSpike rule

References

If you are curious and want to learn more about the kind of work that has been done with the system, here are a few references that you can check out

• The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity

• Surrogate gradients for analog neuromorphic computing

• 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

• Spiking neuromorphic chip learns entangled quantum states

• Structural plasticity on an accelerated analog neuromorphic hardware system

• Emulating dendritic computing paradigms on analog neuromorphic hardware