mlsanityData to 7 Oct 2026

Efficient Video and Audio processing with Loihi 2

arXiv 2310.03251 ↗First posted 5 Oct 2023cs.NE cs.ETcited by 28

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Abstract (arXiv)

Loihi 2 is an asynchronous, brain-inspired research processor that generalizes several fundamental elements of neuromorphic architecture, such as stateful neuron models communicating with event-driven spikes, in order to address limitations of the first generation Loihi. Here we explore and characterize some of these generalizations, such as sigma-delta encapsulation, resonate-and-fire neurons, and integer-valued spikes, as applied to standard video, audio, and signal processing tasks. We find that these new neuromorphic approaches can provide orders of magnitude gains in combined efficiency and latency (energy-delay-product) for feed-forward and convolutional neural networks applied to video, audio denoising, and spectral transforms compared to state-of-the-art solutions.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Oct 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 8; 2025: 15; 2026: 5.

28 papers.

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  1. 2024Scalable MatMul-free Language Modelingcited by 21
  2. 2024Mamba-PTQ: Outlier Channels in Recurrent Large Language Modelscited by 15
  3. 2024Balanced Resonate-and-Fire Neuronscited by 12
  4. 2024Q-S5: Towards Quantized State Space Modelscited by 9
  5. 2025Solving Sparse Finite Element Problems on Neuromorphic Hardwarecited by 8
  6. 2025An efficient probabilistic hardware architecture for diffusion-like modelscited by 8
  7. 2024A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processingcited by 6
  8. 2025Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2cited by 6
  9. 2026Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Reviewcited by 4
  10. 2024Neuromorphic Wireless Split Computing with Multi-Level Spikescited by 3
  11. 2025Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsitycited by 3
  12. 2025Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modelingcited by 2
16 more
  1. 2025A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2cited by 2
  2. 2024N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2cited by 1
  3. 2025Region Masking to Accelerate Video Processing on Neuromorphic Hardwarecited by 1
  4. 2025FeNN: A RISC-V vector processor for Spiking Neural Network accelerationcited by 1
  5. 2025IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processingcited by 1
  6. 2026CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholdscited by 1
  7. 2024Skewed Neuronal Heterogeneity Enhances Efficiency On Various Computing Systemscited by 0
  8. 2025Neuromorphic Wireless Split Computing with Resonate-and-Fire Neuronscited by 0
  9. 2025Event-driven Robust Fitting on Neuromorphic Hardwarecited by 0
  10. 2025ASecond-Order SpikingSSM for Wearablescited by 0
  11. 2025Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Networkcited by 0
  12. 2025Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardwarecited by 0
  13. 2025Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardwarecited by 0
  14. 2026DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Datacited by 0
  15. 2026The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computingcited by 0
  16. 2026Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoringcited by 0