activity
20172023
most citedAccelerated physical emulation of Bayesian inference in spiking neural networks

41 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

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.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…

cs.NE2018★ 41 cited

Accelerated physical emulation of Bayesian inference in spiking neural networks

Akos F. Kungl, Sebastian Schmitt, Johann Klähn +21

The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices. In particular, it may hold the…

cs.ET2018

Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster

Kai Zoschke, Maurice Güttler, Lars Böttcher +5

Together with the Kirchhoff-Institute for Physics(KIP) the Fraunhofer IZM has developed a full wafer redistribution and embedding technology as base for a large-scale neuromorphic…

q-bio.NC2017★ 21 cited

Pattern representation and recognition with accelerated analog neuromorphic systems

Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn +33

Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit partic…