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Biologically Plausible Spiking Neural Networks for Perceptual Filling-In.

, and . CogSci, cognitivesciencesociety.org, (2021)

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Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks., , and . CVPR Workshops, page 1333-1341. Computer Vision Foundation / IEEE, (2021)Computational modeling of color perception with biologically plausible spiking neural networks., , and . PLoS Comput. Biol., 18 (10): 1010648 (October 2022)Adaptive Attention with a Neuromorphic Hybrid Frame and Event-based Camera., , and . ICCI*CC, page 242-247. IEEE, (2022)3D Object Tracking with Neuromorphic Event Cameras via Image Reconstruction., , and . BioCAS, page 1-4. IEEE, (2021)Biologically Plausible Spiking Neural Networks for Perceptual Filling-In., and . CogSci, cognitivesciencesociety.org, (2021)Biologically Plausible Illusionary Contrast Perception with Spiking Neural Networks., and . ICIP, page 1586-1590. IEEE, (2022)A biologically-based algorithm for companding computerized tomography (CT) images., , , and . Comput. Biol. Medicine, 41 (6): 367-379 (2011)A new diffusion computational model predicts both the positive and the negative short afterimage effects., and . CIC, page 103-107. Society for Imaging Science and Technology, (2017)Perceptual colorization of the peripheral retinotopic visual field using adversarially-optimized neural networks., , and . CogSci, cognitivesciencesociety.org, (2023)