mlsanityData to 7 Oct 2026

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales

arXiv 2208.09759 ↗First posted 20 Aug 2022cs.NE cs.AR cs.ETcited by 35

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Abstract (arXiv)

A robust real-world deployment of autonomous edge devices requires on-chip adaptation to user-, environment- and task-induced variability. Due to on-chip memory constraints, prior learning devices were limited to static stimuli with no temporal contents. We propose a 0.45-mm2 spiking RNN processor enabling task-agnostic online learning over seconds, which we demonstrate for navigation, gesture recognition, and keyword spotting within a 0.8-% memory overhead and a <150-μW training power budget.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 8; 2024: 9; 2025: 8; 2026: 8.

35 papers.

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  1. 2023Online learning of long-range dependenciescited by 25
  2. 2024Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edgecited by 18
  3. 2022Spiking neural networks for nonlinear regressioncited by 10
  4. 2023To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Accelerationcited by 10
  5. 2023Online Spatio-Temporal Learning with Target Projectioncited by 9
  6. 2023Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Networkcited by 9
  7. 2023Design Principles for Lifelong Learning AI Acceleratorscited by 9
  8. 2023Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoffcited by 8
  9. 2023Improving equilibrium propagation without weight symmetry through Jacobian homeostasiscited by 8
  10. 2024Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applicationscited by 7
  11. 2025TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networkscited by 4
  12. 2022Intelligence Processing Units Accelerate Neuromorphic Learningcited by 3
23 more
  1. 2025Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspectivecited by 3
  2. 2025ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Updatecited by 3
  3. 2024Benchmarking Spiking Neural Network Learning Methods with Varying Localitycited by 2
  4. 2024DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAMcited by 2
  5. 2024Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networkscited by 2
  6. 2025A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibilitycited by 2
  7. 2024Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Acceleratorcited by 1
  8. 2024When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-designcited by 1
  9. 2024An Event-Based Digital Compute-In-Memory Accelerator with Flexible Operand Resolution and Layer-Wise Weight/Output Stationaritycited by 1
  10. 2026Three factor delay learning rules for spiking neural networkscited by 1
  11. 2026BitFair: A 12-nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Visioncited by 1
  12. 2023A method for the ethical analysis of brain-inspired AIcited by 0
  13. 2024SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perceptioncited by 0
  14. 2025Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networkscited by 0
  15. 2025Bruno: Backpropagation Running Undersampled for Novel device Optimizationcited by 0
  16. 2025A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networkscited by 0
  17. 2025A High-Throughput Spiking Neural Network Processor Enabling Synaptic Delay Emulationcited by 0
  18. 2026DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Datacited by 0
  19. 2026Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGAcited by 0
  20. 2026Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networkscited by 0
  21. 2026The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computingcited by 0
  22. 2026Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learningcited by 0
  23. 2026ETHEREAL: A 25.6-μs/inf. Low-latency Event-driven Graph-neural-network Processor for High-resolution Vision at the Edgecited by 0