Search Results for author: Timo C. Wunderlich

Found 4 papers, 0 papers with code

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

no code implementations17 Sep 2020 Timo C. Wunderlich, Christian Pehle

Spiking neural networks combine analog computation with event-based communication using discrete spikes.

Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network

no code implementations24 Sep 2019 Timo C. Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici

Future developments in artificial intelligence will profit from the existence of novel, non-traditional substrates for brain-inspired computing.

reinforcement Learning

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