296 citations · 1.7k across the 65 of their papers we have counts for
28 papers · 1 filter
Real-time processing of analog signals on accelerated neuromorphic hardware
Yannik Stradmann, Johannes Schemmel, Mihai A. Petrovici +1
Sensory processing with neuromorphic systems is typically done by using either event-based sensors or translating input signals to spikes before presenting them to the neuromorphic…
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…
Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference
Jakob Huhle, Jakob Kaiser, Eric Müller +1
The development of mechanistic models of physical systems is essential for understanding their behavior and formulating predictions that can be validated experimentally. Calibratio…
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
Eric Müller, Moritz Althaus, Elias Arnold +3
Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within…