{"total":28,"rows":[{"id":"2410.03464","title":"S7: Selective and Simplified State Space Layers for Sequence Modeling","created":"2024-10-04","cited_by_count":17,"area":null},{"id":"2411.04760","title":"Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks","created":"2024-11-07","cited_by_count":6,"area":null},{"id":"2511.13912","title":"Compute-in-Memory Implementation of State Space Models for Event Sequence Processing","created":"2025-11-17","cited_by_count":6,"area":null},{"id":"2407.18838","title":"The Role of Temporal Hierarchy in Spiking Neural Networks","created":"2024-07-26","cited_by_count":4,"area":null},{"id":"2504.00719","title":"Scaling Up Resonate-and-Fire Networks for Fast Deep Learning","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2504.02591","title":"State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons","created":"2025-04-03","cited_by_count":4,"area":null},{"id":"2506.12480","title":"Quantizing Small-Scale State-Space Models for Edge AI","created":"2025-06-14","cited_by_count":3,"area":null},{"id":"2603.06228","title":"Low-Latency Event-Based Object Detection with Spatially-Sparse Linear Attention","created":"2026-03-06","cited_by_count":3,"area":null},{"id":"2505.11165","title":"Maximizing Asynchronicity in Event-based Neural Networks","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2602.16442","title":"Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA","created":"2026-02-18","cited_by_count":2,"area":null},{"id":"2603.13283","title":"Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks","created":"2026-02-27","cited_by_count":2,"area":null},{"id":"2606.03935","title":"Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descent","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2504.01257","title":"FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2506.04817","title":"Spike-TBR: a Noise Resilient Neuromorphic Event Representation","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2508.06292","title":"Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback","created":"2025-08-08","cited_by_count":1,"area":null},{"id":"2601.00668","title":"Three factor delay learning rules for spiking neural networks","created":"2026-01-02","cited_by_count":1,"area":null},{"id":"2506.07878","title":"Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2507.01829","title":"mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2512.01906","title":"Delays in Spiking Neural Networks: A State Space Model Approach","created":"2025-12-01","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":"2605.15355","title":"Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions","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":"2605.24604","title":"LC-Flow: Learning Local Continuous Optical Flow and Confidence from events","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.12895","title":"LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.24396","title":"The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.30792","title":"Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.08070","title":"A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.19204","title":"REACT: A Fully Spiking State-Space Model for Real-Time Event-Driven Temporal Perception","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}