Bernhard Vogginger

Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

Chen Liu, Guillaume Bellec, Bernhard Vogginger et al. · Frontiers in Neuroscience · 2018 · 68 citations · Full text

Deep Neural Networks, Engineering, Machine Learning +12

Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

Mihai A. Petrovici, Bernhard Vogginger, Paul Müller et al. · PLoS ONE · 2014 · 52 citations · Full text

Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control

Yexin Yan, Terrence C. Stewart, Xuan Choo et al. · Neuromorphic Computing and Engineering · 2021 · 48 citations · Full text

Engineering, Neural Network, Neurochip +26

The SpiNNaker 2 Processing Element Architecture for Hybrid Digital\n Neuromorphic Computing

Sebastian Höppner, Yexin Yan, Andreas Dixius et al. · arXiv (Cornell University) · 2021 · 40 citations · Full text

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst et al. · Nature Communications · 2024 · 40 citations · Full text

Engineering, Machine Learning, Computer Architecture +23