activity
20182023
most citedDemonstrating Advantages of Neuromorphic Computation: A Pilot Study

138 citations · 337 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NE2023

Emulating insect brains for neuromorphic navigation

Korbinian Schreiber, Timo Wunderlich, Philipp Spilger +8

Bees display the remarkable ability to return home in a straight line after meandering excursions to their environment. Neurobiological imaging studies have revealed that this capa…

q-bio.NC2020★ 114 cited

Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks

Timo C. Wunderlich, Christian Pehle

Spiking neural networks combine analog computation with event-based communication using discrete spikes. While the impressive advances of deep learning are enabled by training non-…

cs.NE2020★ 13 cited

hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware

Philipp Spilger, Eric Müller, Arne Emmel +10

We present software facilitating the usage of the BrainScaleS-2 analog neuromorphic hardware system as an inference accelerator for artificial neural networks. The accelerator hard…

q-bio.NC2020★ 4 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…

cs.NE2020★ 20 cited

Extending BrainScaleS OS for BrainScaleS-2

Eric Müller, Christian Mauch, Philipp Spilger +5

BrainScaleS-2 is a mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. To augment its f…

q-bio.NC2019★ 43 cited

Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate

Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber +22

We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for comp…