Welcome to the BrainScaleS-2 Demos & Examples!

Demos and Examples

• Welcome to the BrainScaleS-2 Tutorial
  • BrainScaleS-2 single neuron experiments
  • Learning with the SuperSpike rule
  • Introduction to matrix multiplication
  • Exploring the analog MAC operation
  • BrainScaleS-2 on-chip plasticity experiment
  • Structured Neurons
  • Executing the Notebooks
  • Shared Hardware Resources
  • Final test: Hardware Execution
• BrainScaleS-2 single neuron experiments
  • A silent neuron
  • Leak over threshold
  • Fixed-pattern variations
  • Summary
  • Outlook: External stimulation
• Learning with the SuperSpike rule
  • Training spiking networks with surrogate gradients
  • Helper functions
  • Define network in PyNN
  • Construct Poisson input spike trains
  • Generating a taget spike train
  • The SuperSpike learning rule
  • Training the network
• Introduction to matrix multiplication
  • Principles
  • Example
• Exploring the analog MAC operation
  • The hxtorch API
  • Noise and fixed-pattern deviations
  • Linearity of the MAC operation
• BrainScaleS-2 on-chip plasticity experiment
  • Controlling the on-chip plasticity processor
  • The plasticity kernel
  • The experiment
• Structured Neurons
  • Imports and Calibration
  • Constructing a Compartment Chain
  • External Input and Experiment Definition
  • Performing the Experiment
• Train DNNs on BrainScaleS-2
  • Hardware in the loop
  • Simulating hardware: The mock mode
  • Example application: the Yin-Yang dataset
• Exploring the dynamic range
  • Define network in PyNN

Girls' Day

• Neuronenverbindungen - Synapsen
• Synapsennetzwerke

Advanced Physics Lab for Physicists

• Welcome to the Advanced Physics Lab for Physicists by the Electronic Vision(s) Group
• Introduction to PyNN
• Binary operations using spiking neurons
• Sudoku