Accelerated physical emulation of Bayesian inference in spiking neural networks

no code implementations • 6 Jul 2018 • Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices.

Bayesian Inference

Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision

no code implementations • 6 Dec 2021 • Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca

In this article we propose a hybrid architecture for end-to-end training of deep neural networks for event-based pattern recognition and object detection, combining a spiking neural network (SNN) backbone for efficient event-based feature extraction, and a subsequent analog neural network (ANN) head to solve synchronous classification and detection tasks.

Computational Efficiency Event-based vision +3