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07/12/2023
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Efficiently selecting an appropriate spike stream data length to extract...
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07/03/2023
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views
The extraction of a clean background image by removing foreground occlus...
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06/09/2023
Spike timing reshapes robustness against attacks in spiking neural networks
The success of deep learning in the past decade is partially shrouded in...
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05/15/2023
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method
Backpropagation (BP) is the most important gradient estimation method fo...
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04/25/2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Vanilla spiking neurons in Spiking Neural Networks (SNNs) use charge-fir...
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04/06/2023
Spike Stream Denoising via Spike Camera Simulation
As a neuromorphic sensor with high temporal resolution, the spike camera...
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03/29/2023
Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios
Self-supervised denoising has attracted widespread attention due to its ...
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03/21/2023
SpikeCV: Open a Continuous Computer Vision Era
SpikeCV is a new open-source computer vision platform for the spike came...
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03/08/2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained great attraction due to their...
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02/25/2023
A Unified Framework for Soft Threshold Pruning
Soft threshold pruning is among the cutting-edge pruning methods with st...
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02/21/2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Spiking Neural Networks (SNNs) have attracted great attention due to the...
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02/04/2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Spiking Neural Networks (SNNs) have received extensive academic attentio...
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02/03/2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Spiking Neural Networks (SNNs) have been attached great importance due t...
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09/10/2021
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Event camera has offered promising alternative for visual perception, es...
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05/25/2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Spiking Neural Networks (SNNs), as bio-inspired energy-efficient neural ...
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05/11/2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Spiking Neural Networks (SNNs) have been attached great importance due t...
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02/08/2021
Spike-based Residual Blocks
Deep Spiking Neural Networks (SNNs) are harder to train than ANNs becaus...
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04/30/2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
Neural coding is one of the central questions in systems neuroscience fo...
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02/22/2019
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation
Recent studies have suggested that the cognitive process of the human br...
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11/06/2018
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Deep convolutional neural networks (CNNs) have demonstrated impressive p...
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08/12/2018
Neural System Identification with Spike-triggered Non-negative Matrix Factorization
Neuronal circuits formed in the brain are complex with intricate connect...
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08/12/2018
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization
Neuronal circuits formed in the brain are complex with intricate connect...
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08/02/2018
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits
Experimental observations of neuroscience suggest that the brain is work...
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11/08/2017
Revealing structure components of the retina by deep learning networks
Deep convolutional neural networks (CNNs) have demonstrated impressive p...
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06/01/2016
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling
Synaptic plasticity is implemented and controlled through over thousand ...
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09/03/2015
