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Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion

International journal of automation and computing, 2023-06, Vol.20 (3), p.435-446

2023

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Detection of Brain Abnormalities from Spontaneous Electroencephalography Using Spiking Neural Network

Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2, 2023, Vol.1098, p.123-143

2023

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Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization

IEEE transaction on neural networks and learning systems, 2023-12, Vol.PP, p.1-15

2023

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Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1714-1726

2022

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Training a Multi-Layer Photonic Spiking Neural Network With Modified Supervised Learning Algorithm Based on Photonic STDP

IEEE journal of selected topics in quantum electronics, 2021-03, Vol.27 (2), p.1-9

2021

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SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-06, Vol.42 (6), p.1-1

2023

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Hyperspectral Image Classification of Brain-Inspired Spiking Neural Network Based on Approximate Derivative Algorithm

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-1

2022

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MASTER: Microphone Array Source Time Difference Eco canceller via Reconstructed Spiking Neural Network

IEEE sensors journal, 2023-06, Vol.23 (11), p.1-1

2023

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Spiking Neural Networks for Detecting Satellite Internet-of-Things Signals

IEEE transactions on aerospace and electronic systems, 2024-02, Vol.60 (1), p.1-15

2024

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A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder

Frontiers in neuroscience, 2016-12, Vol.10, p.563-563

2016

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Moving Target Defense through Approximation for Low-Power Neuromorphic Edge Intelligence

IEEE transactions on computer-aided design of integrated circuits and systems, 2024-03, p.1-1

2024

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Ev-ReconNet: Visual Place Recognition using Event Camera with Spiking Neural Networks

IEEE sensors journal, 2023-09, Vol.23 (17), p.1-1

2023

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Simulating a complete Tritonia escape swim network using a novel event-based spiking neural network algorithm

Neural computing & applications, 2023, Vol.35 (2), p.1733-1748

2023

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MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning

Frontiers in neuroscience, 2022-04, Vol.16, p.775457-775457

2022

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The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition

Cognitive computation, 2023-07, Vol.15 (4), p.1257-1272

2023

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The Use of SNN for Ultralow-Power RF Fingerprinting Identification with Attention Mechanisms in VDES-SAT

IEEE internet of things journal, 2023-09, Vol.10 (17), p.1-1

2023

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Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification

Neural networks, 2015-11, Vol.71, p.142-149

2015

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CUE: A Unified Spiking Neuron Model of Short-Term and Long-Term Memory

Psychological review, 2021-01, Vol.128 (1), p.104-124

2021

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Quantization Framework for Fast Spiking Neural Networks

Frontiers in neuroscience, 2022-07, Vol.16, p.918793-918793

2022

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DTS-SNN: Spiking Neural Networks with Dynamic Time-Surfaces

IEEE access, 2022, Vol.10, p.1-1

2022

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Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Natural computing, 2009-06, Vol.8 (2), p.199-218

Kasabov, Nikola

2009

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Exploiting noise as a resource for computation and learning in spiking neural networks

Patterns (New York, N.Y.), 2023-10, Vol.4 (10), p.100831-100831, Article 100831

2023

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A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks

IEEE transactions on cognitive and developmental systems, 2024-04, Vol.16 (2), p.1-1

2024

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An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks

Frontiers in neurorobotics, 2019-10, Vol.13, p.84-84

2019

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Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization

Photonics, 2022-04, Vol.9 (4), p.217

2022

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Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion

Detection of Brain Abnormalities from Spontaneous Electroencephalography Using Spiking Neural Network

Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization

Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes

Training a Multi-Layer Photonic Spiking Neural Network With Modified Supervised Learning Algorithm Based on Photonic STDP

SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks

Hyperspectral Image Classification of Brain-Inspired Spiking Neural Network Based on Approximate Derivative Algorithm

MASTER: Microphone Array Source Time Difference Eco canceller via Reconstructed Spiking Neural Network

Spiking Neural Networks for Detecting Satellite Internet-of-Things Signals

A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder

Moving Target Defense through Approximation for Low-Power Neuromorphic Edge Intelligence

Ev-ReconNet: Visual Place Recognition using Event Camera with Spiking Neural Networks

Simulating a complete Tritonia escape swim network using a novel event-based spiking neural network algorithm

MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning

The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition

The Use of SNN for Ultralow-Power RF Fingerprinting Identification with Attention Mechanisms in VDES-SAT

Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification

CUE: A Unified Spiking Neuron Model of Short-Term and Long-Term Memory

Quantization Framework for Fast Spiking Neural Networks

DTS-SNN: Spiking Neural Networks with Dynamic Time-Surfaces

Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Exploiting noise as a resource for computation and learning in spiking neural networks

A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks

An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks

Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization

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