Showing 1–20 of 77 results
/ Date/ Name
Jan 8, 2024Deep Learning for Visual NeuroprosthesisJan 13, 2020Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with SpikesJun 1, 2016CaMKII activation supports reward-based neural network optimization through Hamiltonian samplingAug 12, 2018Neural System Identification with Spike-triggered Non-negative Matrix FactorizationNov 6, 2018Revealing Fine Structures of the Retinal Receptive Field by Deep Learning NetworksFeb 22, 2019Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field ApproximationApr 30, 2019Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural NetworksAug 2, 2018Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal CircuitsSep 3, 2015Sampling-based Causal Inference in Cue Combination and its Neural ImplementationJul 11, 2020Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural NetworksMay 25, 2021Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural NetworksSep 10, 2021Spatio-Temporal Recurrent Networks for Event-Based Optical Flow EstimationDec 24, 2023Deep Pulse-Coupled Neural NetworksMay 31, 2024Robust Stable Spiking Neural NetworksNov 8, 2017Revealing structure components of the retina by deep learning networksFeb 21, 2023Bridging the Gap between ANNs and SNNs by Calibrating Offset SpikesMar 14, 2024SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike StreamsMay 17, 2025TDFormer: A Top-Down Attention-Controlled Spiking TransformerMar 20, 2025SpiLiFormer: Enhancing Spiking Transformers with Lateral InhibitionApr 7, 2025Inter-event Interval Microscopy for Event Cameras