{"total":18,"rows":[{"id":"2403.18388","title":"FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion","created":"2024-03-27","cited_by_count":5,"area":null},{"id":"2504.03891","title":"Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats","created":"2025-04-04","cited_by_count":5,"area":null},{"id":"2404.03714","title":"SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2406.17617","title":"Embedded event based object detection with spiking neural network","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2506.13268","title":"Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2507.10561","title":"SFATTI: Spiking FPGA Accelerator for Temporal Task-driven Inference -- A Case Study on MNIST","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2507.14069","title":"Edge Intelligence with Spiking Neural Networks","created":"2025-07-18","cited_by_count":2,"area":null},{"id":"2503.06629","title":"Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA","created":"2025-03-09","cited_by_count":1,"area":null},{"id":"2606.10008","title":"Spiking Neural Network inference on FPGAs with hls4ml","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2511.00732","title":"FeNN-DMA: A RISC-V SoC for SNN acceleration","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2605.09570","title":"End-to-End Keyword Spotting on FPGA Using Graph Neural Networks with a Neuromorphic Auditory Sensor","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2605.12217","title":"Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.13869","title":"Elastic Spiking Transformers for Efficient Gesture Understanding","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.15058","title":"NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.16114","title":"Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.18003","title":"Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.20675","title":"VQ4SNN: Vector Quantization for Memory-Efficient FPGA Spiking Neural Networks","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2608.25536","title":"Syn2Logic: End-to-End Neuromorphic Design Automation","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}