activity
20202026
most citedThe Operating System of the Neuromorphic BrainScaleS-1 System

7 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NE2026

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware

Jakob Kaiser, Eric Müller, Johannes Schemmel

Our work utilized a non-sequential simulation-based inference algorithm to provide an amortized neural density estimator, which approximates the posterior distribution for seven pa…

cs.NE2025★ 1 cited

Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability

Faiek Ahsan, Saptarshi Maiti, Zihao Chen +8

We report a higher-order neuromorphic Ising machine that exhibits superior scalability compared to architectures based on quadratization, while also achieving state-of-the-art qual…

cs.NE2024

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference

Jakob Huhle, Jakob Kaiser, Eric Müller +1

The development of mechanistic models of physical systems is essential for understanding their behavior and formulating predictions that can be validated experimentally. Calibratio…

q-bio.QM2024

Multi-timescale synaptic plasticity on analog neuromorphic hardware

Amani Atoui, Jakob Kaiser, Sebastian Billaudelle +5

As numerical simulations grow in complexity, their demands on computing time and energy increase. Accelerators for numerical computation offer significant efficiency gains in many…

cs.ET2023

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

Hartmut Schmidt, José Montes, Andreas Grübl +9

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 modeli…

cs.NE2023★ 3 cited

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware

Jakob Kaiser, Raphael Stock, Eric Müller +2

The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons. When replicati…

cs.NE2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware

Eric Müller, Elias Arnold, Oliver Breitwieser +20

Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This wor…

cs.NE2022★ 2 cited

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity

Christian Pehle, Sebastian Billaudelle, Benjamin Cramer +7

Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired…

cs.NE2020★ 7 cited

The Operating System of the Neuromorphic BrainScaleS-1 System

Eric Müller, Sebastian Schmitt, Christian Mauch +19

BrainScaleS-1 is a wafer-scale mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. The…