7 papers
Multi-timescale synaptic plasticity on analog neuromorphic hardware
Amani Atoui, Jakob Kaiser, Sebastian Billaudelle +5
As numerical simulations grow in complexity, their demands on computing time and energy increase. Accelerators for numerical computation offer significant efficiency gains in many…
Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
Jakob Kaiser, Eric Müller, Johannes Schemmel
Our work utilized a non-sequential simulation-based inference algorithm to provide an amortized neural density estimator, which approximates the posterior distribution for seven pa…
Sustainable operation of research infrastructure for novel computing
Yannik Stradmann, Joscha Ilmberger, Eric Müller +1
Novel compute systems are an emerging research topic, aiming towards building next-generation compute platforms. For these systems to thrive, they need to be provided as research i…
Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware
Elias Arnold, Eike-Manuel Edelmann, Alexander von Bank +3
Spiking neural networks (SNNs) emulated on dedicated neuromorphic accelerators promise to offer energy-efficient signal processing. However, the neuromorphic advantage over traditi…
Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware
Philipp Spilger, Eric Müller, Johannes Schemmel
The study of plasticity in spiking neural networks is an active area of research. However, simulations that involve complex plasticity rules, dense connectivity/high synapse counts…
Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware
Hartmut Schmidt, Andreas Grübl, José Montes +3
As numerical simulations grow in size and complexity, they become increasingly resource-intensive in terms of time and energy. While specialized hardware accelerators often provide…