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| Action Recognition Using a Bio-Inspired Feedforward | spiking | Network |
| Adaptive Learning Procedure for a Network of | spiking | Neurons and Visual Pattern Recognition |
| Attention | spiking | Neural Networks |
| Bio-inspired visual attention process using | spiking | neural networks controlling a camera |
| Biologically Plausible Illusionary Contrast Perception with | spiking | Neural Networks |
| Boundary-Aware Deformable | spiking | Neural Network for Hyperspectral Image Classification |
| Brain-inspired Multilayer Perceptron with | spiking | Neurons |
| Capture the Moment: High-Speed Imaging With | spiking | Cameras Through Short-Term Plasticity |
| Character recognition with two | spiking | neural network models on multicore architectures |
| Constructing Deep | spiking | Neural Networks from Artificial Neural Networks with Knowledge Distillation |
| Covert Attention with a | spiking | Neural Network |
| CQ+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to | spiking | Neural Networks |
| DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency | spiking | Neural Networks |
| Deep Directly-Trained | spiking | Neural Networks for Object Detection |
| Deep | spiking | Neural Network: Energy Efficiency Through Time Based Coding |
| Deep | spiking | Residual Shrinkage Network for Bearing Fault Diagnosis |
| Developing Architectures of | spiking | Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy |
| Development of a Novel Transformation of | spiking | Neural Classifier to an Interpretable Classifier |
| Discriminative training of | spiking | neural networks organised in columns for stream-based biometric authentication |
| Distilling Spikes: Knowledge Distillation in | spiking | Neural Networks |
| Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt | spiking | Cortical Model |
| Effective Transfer Learning Algorithm in | spiking | Neural Networks |
| Efficient Converted | spiking | Neural Network for 3D and 2D Classification |
| Efficient Pattern Recognition Using the Frequency Response of a | spiking | Neuron |
| Energy-Efficient and High-Performance Ship Classification Strategy Based on Siamese | spiking | Neural Network in Dual-Polarized SAR Images |
| Event-Based Hough Transform in a | spiking | Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor |
| Event-based Video Reconstruction via Potential-assisted | spiking | Neural Network |
| Exploring Lottery Ticket Hypothesis in | spiking | Neural Networks |
| Fast-SNN: Fast | spiking | Neural Network by Converting Quantized ANN |
| Feature fusion method based on | spiking | neural convolutional network for edge detection |
| Flow cytometry with event-based vision and | spiking | neuromorphic hardware |
| Fully | spiking | Hybrid Neural Network for Energy-Efficient Object Detection, A |
| Hand Gesture Recognition in Range-Doppler Images Using Binary Activated | spiking | Neural Networks |
| High-speed Image Reconstruction through Short-term Plasticity for | spiking | Cameras |
| HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep | spiking | Neural Networks by Training with Crafted Input Noise |
| hybrid differential evolution algorithm for parameter tuning of evolving | spiking | neural network, A |
| Hybrid Neural Coding Approach for Pattern Recognition With | spiking | Neural Networks, A |
| Image Reconstruction from Neuromorphic Event Cameras using Laplacian-Prediction and Poisson Integration with | spiking | and Artificial Neural Networks |
| Incorporating Learnable Membrane Time Constant to Enhance Learning of | spiking | Neural Networks |
| Inherent Adversarial Robustness of Deep | spiking | Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations |
| Inherent Redundancy in | spiking | Neural Networks |
| Investigating | spiking | Neural Networks for Energy-Efficient On-Board AI Applications. A Case Study in Land Cover and Land Use Classification |
| Joint A-SNN: Joint training of artificial and | spiking | neural networks via self-Distillation and weight factorization |
| Learning hetero-synaptic delays for motion detection in a single layer of | spiking | neurons |
| Lipreading with | spiking | Neurons: One Pass Learning |
| Live Demonstration: Real-time Event-based Speed Detection using | spiking | Neural Networks |
| load balanced mapping for | spiking | neural network, A |
| Masked | spiking | Transformer |
| Mass Segmentation in Mammograms Based on the Combination of the | spiking | Cortical Model (SCM) and the Improved CV Model |
| Membrane Potential Batch Normalization for | spiking | Neural Networks |
| Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired | spiking | neural model with meta-heuristic optimization |
| Neural Architecture Search for | spiking | Neural Networks |
| Neuromorphic Data Augmentation for Training | spiking | Neural Networks |
| Neuron-Based | spiking | Transmission and Reasoning Network for Robust Image-Text Retrieval |
| Object Detection for Embedded Systems Using Tiny | spiking | Neural Networks: Filtering Noise Through Visual Attention |
| Optical Flow Estimation for | spiking | Camera |
| Performance analysis on visual attention using | spiking | and oscillatory neural model |
| Performance comparison of DVS data spatial downscaling methods using | spiking | Neural Networks |
| Progressive Tandem Learning for Pattern Recognition With Deep | spiking | Neural Networks |
| Rate Gradient Approximation Attack Threats Deep | spiking | Neural Networks |
| Real Spike: Learning Real-Valued Spikes for | spiking | Neural Networks |
| RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training | spiking | Neural Networks |
| Recognizing faces with normalized local Gabor features and | spiking | Neuron Patterns |
| Reducing Information Loss for | spiking | Neural Networks |
| Remembering Key Features of Visual Images Based on Spike Timing Dependent Plasticity of | spiking | Neurons |
| Retina-Like Visual Image Reconstruction via | spiking | Neural Model |
| Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With | spiking | Output |
| RMP-Loss: Regularizing Membrane Potential Distribution for | spiking | Neural Networks |
| RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency | spiking | Neural Network |
| SA-FlowNet: Event-based self-attention optical flow estimation with | spiking | -analogue neural networks |
| SAR image classification based on | spiking | neural network through spike-time dependent plasticity and gradient descent |
| Simplified | spiking | neural network architecture and STDP learning algorithm applied to image classification |
| Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a | spiking | neural network* |
| Spike Transformer: Monocular Depth Estimation for | spiking | Camera |
| Spike-Event-Driven Deep | spiking | Neural Network With Temporal Encoding |
| Spike-Thrift: Towards Energy-Efficient Deep | spiking | Neural Networks by Limiting Spiking Activity via Attention-Guided Compression |
| Spike-Thrift: Towards Energy-Efficient Deep | spiking | Neural Networks by Limiting Spiking Activity via Attention-Guided Compression |
| spiking | Deep Convolutional Neural Networks for Energy-Efficient Object Recognition |
| spiking | Denoising Diffusion Probabilistic Models |
| spiking | GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition |
| spiking | Hough for Shape Recognition |
| spiking | Neural Networks |
| spiking | Neural Networks for Active Time-Resolved SPAD Imaging |
| spiking | Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series |
| spiking | Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection |
| spiking | Transformers for Event-based Single Object Tracking |
| SSF: Accelerating Training of | spiking | Neural Networks with Stabilized Spiking Flow |
| SSF: Accelerating Training of | spiking | Neural Networks with Stabilized Spiking Flow |
| Temporal Pulses Driven | spiking | Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving |
| Temporal-Coded | spiking | Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation |
| Temporal-wise Attention | spiking | Neural Networks for Event Streams Classification |
| Towards Memory- and Time-Efficient Backpropagation for Training | spiking | Neural Networks |
| Towards Ultra Low Latency | spiking | Neural Networks for Vision and Sequential Tasks Using Temporal Pruning |
| Training High-Performance Low-Latency | spiking | Neural Networks by Differentiation on Spike Representation |
| Training | spiking | Neural Networks Using Lessons From Deep Learning |
| Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via | spiking | Neuron Model |
| Unleashing the Potential of | spiking | Neural Networks with Dynamic Confidence |
| Unsupervised Learning of a Hierarchical | spiking | Neural Network for Optical Flow Estimation: From Events to Global Motion Perception |
| VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic | spiking | Winner- Take-All Circuits |
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