mlsanityData to 7 Oct 2026

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity

arXiv 2201.11063 ↗First posted 26 Jan 2022cs.NE cond-mat.dis-nn q-bio.NCcited by 41

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Abstract (arXiv)

Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired computing today encompasses a class of approaches ranging from using novel nano-devices for computation to research into large-scale neuromorphic architectures, such as TrueNorth, SpiNNaker, BrainScaleS, Tianjic, and Loihi. While implementation details differ, spiking neural networks - sometimes referred to as the third generation of neural networks - are the common abstraction used to model computation with such systems. Here we describe the second generation of the BrainScaleS neuromorphic architecture, emphasizing applications enabled by this architecture. It combines a custom analog accelerator core supporting the accelerated physical emulation of bio-inspired spiking neural network primitives with a tightly coupled digital processor and a digital event-routing network.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 7; 2024: 13; 2025: 8; 2026: 10.

41 papers.

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  1. 2024SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learningcited by 24
  2. 2023DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processorcited by 20
  3. 2024Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edgecited by 18
  4. 2024Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectivescited by 12
  5. 2022Neuromorphic Computing and Sensing in Spacecited by 10
  6. 2024DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardwarecited by 9
  7. 2024Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applicationscited by 7
  8. 2023Online Transformers with Spiking Neurons for Fast Prosthetic Hand Controlcited by 5
  9. 2025Wandering around: A bioinspired approach to visual attention through object motion sensitivitycited by 5
  10. 2024The Role of Temporal Hierarchy in Spiking Neural Networkscited by 4
  11. 2022Spiking Neural Network Decision Feedback Equalizationcited by 3
  12. 2023Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networkscited by 3
29 more
  1. 2022Learning to learn online with neuromodulated synaptic plasticity in spiking neural networkscited by 2
  2. 2024Benchmarking Spiking Neural Network Learning Methods with Varying Localitycited by 2
  3. 2024Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networkscited by 2
  4. 2025A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2cited by 2
  5. 2026A feedback control optimizer for online and hardware-aware training of Spiking Neural Networkscited by 2
  6. 2023Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognitioncited by 1
  7. 2023Intelligent machines work in unstructured environments by differential neuromorphic computingcited by 1
  8. 2023From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challengescited by 1
  9. 2025Spike-based alignment learning solves the weight transport problemcited by 1
  10. 2023Noise Adaptor in Spiking Neural Networkscited by 0
  11. 2024Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classificationcited by 0
  12. 2024A Realistic Simulation Framework for Analog/Digital Neuromorphic Architecturescited by 0
  13. 2024Network Representation Learning for Biophysical Neural Network Analysiscited by 0
  14. 2024TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integrationcited by 0
  15. 2024Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Netcited by 0
  16. 2025Temporal Misalignment in ANN-SNN Conversion and Its Mitigation via Probabilistic Spiking Neuronscited by 0
  17. 2025HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computingcited by 0
  18. 2025Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networkscited by 0
  19. 2025Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directionscited by 0
  20. 2025DarwinWafer: A Wafer-Scale Neuromorphic Chipcited by 0
  21. 2026SpikySpace: A Spiking State Space Model for Energy-Efficient Time Series Forecastingcited by 0
  22. 2026HiAER-Spike Software-Hardware Reconfigurable Platform for Event-Driven Neuromorphic Computing at Scalecited by 0
  23. 2026Neuromorphic visual attention for Sign-language recognition on SpiNNakercited by 0
  24. 2026Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chipcited by 0
  25. 2026Scalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretizationcited by 0
  26. 2026Neuromorphic Object Detection: An In-Depth Study and Future Directionscited by 0
  27. 2026Syn2Logic: End-to-End Neuromorphic Design Automationcited by 0
  28. 2026Large Language Models with At Most One Spike per Neuroncited by 0
  29. 2026Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target trackingcited by 0