mlsanityData to 7 Oct 2026

Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate

arXiv 1912.12980 ↗First posted 30 Dec 2019q-bio.NC cs.NEcited by 15

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Abstract (arXiv)

We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for complex plasticity and experiment control. The high acceleration factor of 1000 compared to biological dynamics enables the execution of computationally expensive tasks, by allowing the fast emulation of long-duration experiments or rapid iteration over many consecutive trials. The flexibility of our architecture is demonstrated in a suite of five distinct experiments, which emphasize different aspects of the BrainScaleS-2 system.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Dec 2019.

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Citing papers per year: 2021: 8; 2022: 1; 2023: 3; 2024: 2; 2025: 1.

15 papers.

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  1. 2021Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Visioncited by 22
  2. 2021Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligencecited by 21
  3. 2021Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronscited by 15
  4. 2024Is artificial consciousness achievable? Lessons from the human braincited by 11
  5. 2021The Yin-Yang datasetcited by 10
  6. 2024DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardwarecited by 9
  7. 2023Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Surveycited by 8
  8. 2021Learning through structure: towards deep neuromorphic knowledge graph embeddingscited by 7
  9. 2023Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Surveycited by 7
  10. 2021An energy-based model for neuro-symbolic reasoning on knowledge graphscited by 4
  11. 2021Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamicscited by 4
  12. 2022Relational representation learning with spike trainscited by 4
3 more
  1. 2021Demonstrating Analog Inference on the BrainScaleS-2 Mobile Systemcited by 1
  2. 2025Spike-based alignment learning solves the weight transport problemcited by 1
  3. 2023A method for the ethical analysis of brain-inspired AIcited by 0