activity
20092026
most citedThe Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

296 citations · 1.7k across the 65 of their papers we have counts for

collaborators

69 papers

q-bio.NC2026

Rewiring of adult neural networks - learning from structural plasticity across multiple scales

Michael Fauth, Han Lu, Jannik Luboeinski +36

Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…

cs.NE2026

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…

cs.PF2025★ 3 cited

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Johanna Senk, Anno C. Kurth, Steve Furber +18

The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…

cs.NE2024

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…

cs.NE2024

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…

cs.NE2024

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…