Cargando…

Direct learning-based deep spiking neural networks: a review

The spiking neural network (SNN), as a promising brain-inspired computational model with binary spike information transmission mechanism, rich spatially-temporal dynamics, and event-driven characteristics, has received extensive attention. However, its intricately discontinuous spike mechanism bring...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guo, Yufei, Huang, Xuhui, Ma, Zhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313197/ https://www.ncbi.nlm.nih.gov/pubmed/37397460 http://dx.doi.org/10.3389/fnins.2023.1209795

Ejemplares similares

Back-Propagation Learning in Deep Spike-By-Spike Networks
por: Rotermund, David, et al.
Publicado: (2019)

Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
por: Guo, Yilong, et al.
Publicado: (2019)

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
por: Lee, Chankyu, et al.
Publicado: (2020)

Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks
por: Schmidgall, Samuel, et al.
Publicado: (2023)

Training Deep Spiking Neural Networks Using Backpropagation
por: Lee, Jun Haeng, et al.
Publicado: (2016)

A Curiosity-Based Learning Method for Spiking Neural Networks
por: Shi, Mengting, et al.
Publicado: (2020)

Multisensory Concept Learning Framework Based on Spiking Neural Networks
por: Wang, Yuwei, et al.
Publicado: (2022)

Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks
por: Gardner, Brian, et al.
Publicado: (2021)

A Spiking Neural Network Model of Rodent Head Direction Calibrated With Landmark Free Learning
por: Stentiford, Rachael, et al.
Publicado: (2022)

Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks
por: Shi, Mengting, et al.
Publicado: (2020)

SPIDEN: deep Spiking Neural Networks for efficient image denoising
por: Castagnetti, Andrea, et al.
Publicado: (2023)

First Error-Based Supervised Learning Algorithm for Spiking Neural Networks
por: Luo, Xiaoling, et al.
Publicado: (2019)

Backpropagation With Sparsity Regularization for Spiking Neural Network Learning
por: Yan, Yulong, et al.
Publicado: (2022)

Bayesian continual learning via spiking neural networks
por: Skatchkovsky, Nicolas, et al.
Publicado: (2022)

Voltage slope guided learning in spiking neural networks
por: Hu, Lvhui, et al.
Publicado: (2022)

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
por: Wu, Jibin, et al.
Publicado: (2020)

Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks
por: Lu, Sijia, et al.
Publicado: (2022)

Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
por: Li, Guoqi, et al.
Publicado: (2020)

SCTN: Event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023)

Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity
por: Demin, Vyacheslav, et al.
Publicado: (2018)

Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks
por: Weidel, Philipp, et al.
Publicado: (2021)

Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks
por: de Santos-Sierra, Daniel, et al.
Publicado: (2015)

Integrating Non-spiking Interneurons in Spiking Neural Networks
por: Strohmer, Beck, et al.
Publicado: (2021)

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
por: Schmidgall, Samuel, et al.
Publicado: (2021)

Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges
por: Dutta, Sourav, et al.
Publicado: (2020)

Quantization Framework for Fast Spiking Neural Networks
por: Li, Chen, et al.
Publicado: (2022)

A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns
por: She, Xueyuan, et al.
Publicado: (2021)

Direct training high-performance spiking neural networks for object recognition and detection
por: Zhang, Hong, et al.
Publicado: (2023)

Corrigendum: SCTN: event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023)

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
por: Vincent-Lamarre, Philippe, et al.
Publicado: (2020)

Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox
por: Okuno, Takuto, et al.
Publicado: (2021)

Phase diagram of spiking neural networks
por: Seyed-allaei, Hamed
Publicado: (2015)

Neural Networks for Modeling Neural Spiking in S1 Cortex
por: Lucas, Alice, et al.
Publicado: (2019)

Representational Distance Learning for Deep Neural Networks
por: McClure, Patrick, et al.
Publicado: (2016)

Information-Theoretic Intrinsic Plasticity for Online Unsupervised Learning in Spiking Neural Networks
por: Zhang, Wenrui, et al.
Publicado: (2019)

Training Spiking Neural Networks for Reinforcement Learning Tasks With Temporal Coding Method
por: Wu, Guanlin, et al.
Publicado: (2022)

VTSNN: a virtual temporal spiking neural network
por: Qiu, Xue-Rui, et al.
Publicado: (2023)

Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
por: Lin, Xianghong, et al.
Publicado: (2023)

Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting
por: Werner, Thilo, et al.
Publicado: (2016)

Event-Based Trajectory Prediction Using Spiking Neural Networks
por: Debat, Guillaume, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fcmgl0acluel5buvj741p1ibfk