activity
20182022
most citedClosed-loop experiments on the BrainScaleS-2 architecture

4 citations · 6 across the 2 of their papers we have counts for

collaborators

6 papers

cs.NE20222 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

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware

Johannes Weis, Philipp Spilger, Sebastian Billaudelle +11

The neuromorphic BrainScaleS-2 ASIC comprises mixed-signal neurons and synapse circuits as well as two versatile digital microprocessors. Primarily designed to emulate spiking neur…

q-bio.NC20204 cited

Closed-loop experiments on the BrainScaleS-2 architecture

K. Schreiber, T. C. Wunderlich, C. Pehle +3

The evolution of biological brains has always been contingent on their embodiment within their respective environments, in which survival required appropriate navigation and manipu…

q-bio.NC2019

Structural plasticity on an accelerated analog neuromorphic hardware system

Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici +4

In computational neuroscience, as well as in machine learning, neuromorphic devices promise an accelerated and scalable alternative to neural network simulations. Their neural conn…

cs.NE2018

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Timo Wunderlich, Akos F. Kungl, Eric Müller +14

Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and dynamics with the aim of replicating its hallmark functional capabilities in terms of com…

physics.data-an2018

Phase Walk Analysis of Leptokurtic Time Series

Korbinian Schreiber, Heike I. Modest, Christoph Räth

The Fourier phase information play a key role for the quantified description of nonlinear data. We present a novel tool for time series analysis that identifies nonlinearities by s…