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MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks.

, , , , и . Neural Comput. Appl., 36 (15): 8531-8547 (мая 2024)

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HEVS: A hierarchical computational model for Early stages of the Visual System., , , и . IJCNN, стр. 1-8. IEEE, (2015)A Performance Evaluation of Local Features for Image-Based 3D Reconstruction., , , , , , и . IEEE Trans. Image Process., 28 (10): 4774-4789 (2019)A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System., , , и . Frontiers Comput. Neurosci., (2018)Efficient coding matters in the organization of the early visual system., , , и . Neural Networks, (2018)Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation., , , , и . CoRR, (2022)Do We Need Binary Features for 3D Reconstruction?, , , , , , , и . CVPR Workshops, стр. 1126-1135. IEEE Computer Society, (2016)MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks., , , , и . Neural Comput. Appl., 36 (15): 8531-8547 (мая 2024)BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation., , , , , , , , , и 9 other автор(ы). CoRR, (2022)Brain-inspired and Self-based Artificial Intelligence., , , , , , , , , и 10 other автор(ы). CoRR, (2024)Receptive Fields Selection for Binary Feature Description., , , , , и . IEEE Trans. Image Process., 23 (6): 2583-2595 (2014)