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BrainScaleS: A Wafer-Scale, Neuromorphic System [pdf] (arxiv.org)
3 points by nickpsecurity on Jul 23, 2025 | hide | past | pdf | 1 comment on HN

In plain words: A wafer-sized analog chip emulates spiking neuron networks in continuous time, running 10,000 times faster than biology while tolerating faulty, mismatched parts. After assembly and calibration, it ran a firing chain across the wafer, the largest analog spiking network with individual synapses to date.

Abstract · From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System

The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic system for emulating large-scale networks of spiking neurons. Following a "physical modeling" principle, its VLSI circuits are designed to emulate the dynamics of biological examples: analog circuits implement neurons and synapses with time constants that arise from their electronic components' intrinsic properties. It operates in continuous time, with dynamics typically matching an acceleration factor of 10000 compared to the biological regime. A fault-tolerant design allows it to achieve wafer-scale integration despite unavoidable analog variability and component failures. In this paper, we present the commissioning process of a BrainScaleS-1 wafer module, providing a short description of the system's physical components, illustrating the steps taken during its assembly and the measures taken to operate it. Furthermore, we reflect on the system's development process and the lessons learned to conclude with a demonstration of its functionality by emulating a wafer-scale synchronous firing chain, the largest spiking network emulation ran with analog components and individual synapses to date.

Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
arXiv:2303.12359 · cs.ET, cs.NE · submitted Mar 22, 2023
abstract · pdf · html

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Also discussed: Oct 2024 (1 point, 0 comments)

Worth a read to see the hardware stack explained, but I'm somewhat baffled as to what the applications are for the tech.