Cargando…

Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks

Spiking Neural Networks (SNNs) offer great potential to promote both the performance and efficiency of real-world computing systems, considering the biological plausibility of SNNs. The emerging analog Resistive Random Access Memory (RRAM) devices have drawn increasing interest as potential neuromor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guo, Yilong, Wu, Huaqiang, Gao, Bin, Qian, He
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691091/ https://www.ncbi.nlm.nih.gov/pubmed/31447634 http://dx.doi.org/10.3389/fnins.2019.00812

Ejemplares similares

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

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

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

Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks
por: Brivio, Stefano, et al.
Publicado: (2021)

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

Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
por: Covi, Erika, et al.
Publicado: (2016)

Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
por: Allred, Jason M., et al.
Publicado: (2020)

Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity
por: Srinivasa, Narayan, et al.
Publicado: (2014)

Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting
por: Werner, Thilo, et al.
Publicado: (2017)

Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
por: Ambrogio, Stefano, et al.
Publicado: (2016)

Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP
por: Shim, Yoonsik, et al.
Publicado: (2016)

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
por: Yang, Geunbo, et al.
Publicado: (2023)

Neural encoding with unsupervised spiking convolutional neural network
por: Wang, Chong, et al.
Publicado: (2023)

Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory
por: Liang, Qian, et al.
Publicado: (2020)

Local unsupervised learning rules for a spiking neural network with dendrite
por: Manette, Olivier FL
Publicado: (2011)

Constructing an Associative Memory System Using Spiking Neural Network
por: He, Hu, et al.
Publicado: (2019)

Unsupervised learning of digit recognition using spike-timing-dependent plasticity
por: Diehl, Peter U., et al.
Publicado: (2015)

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

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

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
por: Lee, Chankyu, et al.
Publicado: (2018)

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)

Direct learning-based deep spiking neural networks: a review
por: Guo, Yufei, et al.
Publicado: (2023)

Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns
por: Matsubara, Takashi
Publicado: (2017)

The Convallis learning rule for unsupervised learning in spiking neuronal networks
por: Yger, Pierre, et al.
Publicado: (2013)

MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning
por: Kim, Daehyun, et al.
Publicado: (2022)

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
por: Hirtzlin, Tifenn, et al.
Publicado: (2020)

Robust Working Memory in an Asynchronously Spiking Neural Network Realized with Neuromorphic VLSI
por: Giulioni, Massimiliano, et al.
Publicado: (2012)

Spiking neural network with working memory can integrate and rectify spatiotemporal features
por: Chen, Yi, et al.
Publicado: (2023)

Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks
por: Kim, Youngeun, et al.
Publicado: (2023)

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

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)

Algorithm for Training Neural Networks on Resistive Device Arrays
por: Gokmen, Tayfun, et al.
Publicado: (2020)

Highly efficient neuromorphic learning system of spiking neural network with multi-compartment leaky integrate-and-fire neurons
por: Gao, Tian, et al.
Publicado: (2022)

Neuromorphic Tactile Edge Orientation Classification in an Unsupervised Spiking Neural Network
por: Macdonald, Fraser L. A., et al.
Publicado: (2022)

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

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)

Cannot write session to /tmp/vufind_sessions/sess_t7s47nucmhlslnm7k3n9hghgje