Brain-Inspired Computing

Neuromorphic Computing

SpiNNaker and BrainScaleS neuromorphic compute systems to simulate or emulate spiking neural networks


Neuromorphic Computing

Remote access to two complementary, large-scale, custom hardware neuromorphic computing systems: BrainScaleS (located in Heidelberg) and SpiNNaker (located in Manchester)

Programmable, brain-inspired computing devices

Enabling high-speed, low-energy simulations or emulations of spiking neural networks with synaptic plasticity

PyNN API for simulator-independent specification of neuronal network models.

What to expect

Models and simulation experiments are described in a Python script using the PyNN API. Experiments can be submitted via web browser through the Collaboratory (get access) or via our web API (Python client available). Once the simulation is complete, results can be viewed via browser, downloaded as data files via the web API, or transferred to the HBP High Performance Computing platform for further analysis.

Target Audience

The neuromorphic computing systems target researchers in multiple fields, including computational neuroscience and machine learning. Platform users will be able to study network implementations of their choice including simplified versions of brain models developed on the HBP Brain Simulation Platform or generic circuit models based on theoretical work.

The platform also offers industry researchers and technology developers the possibility to experiment with and test applications based on state-of-the-art neuromorphic devices and systems.

Compared to traditional HPC resources, the Neuromorphic systems potentially offer higher speed (real-time or accelerated) and lower energy consumption. The accelerated systems are particularly suited for investigations of plasticity and learning, enabling simulation of hours or days of biological time in only a few seconds.

Brain-Inspired Computing

BrainScaleS system

The BrainScaleS system is based on physical (analogue or mixed-signal) emulations of neuron, synapse and plasticity models with digital connectivity, running up to ten thousand times faster than real time.

Brain-Inspired Computing

SpiNNaker system

The SpiNNaker system is based on numerical models running in real time on custom digital multicore chips using the ARM architecture.

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