循环神经网络动力学的图规则：扩展版本 - Suppr

Suppr

超能文献

Graph rules for recurrent neural network dynamics: extended version.

作者信息

Curto Carina, Morrison Katherine

机构信息

The Pennsylvania State University.

The University of Northern Colorado.

出版信息

ArXiv. 2023 Jan 30:arXiv:2301.12638v1.

PMID:36776822

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9915753/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/875b/9915753/ad3153ffd861/nihpp-2301.12638v1-f0001.jpg

相似文献

Graph rules for recurrent neural network dynamics: extended version.

ArXiv. 2023 Jan 30:arXiv:2301.12638v1.

Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt.

Front Public Health. 2024 May 20;12:1397260. doi: 10.3389/fpubh.2024.1397260. eCollection 2024.

MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks.

Mol Inform. 2021 Oct;40(10):e2100091. doi: 10.1002/minf.202100091. Epub 2021 Aug 19.

Constructing neural networks with pre-specified dynamics.

Sci Rep. 2024 Aug 14;14(1):18860. doi: 10.1038/s41598-024-69747-z.

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network.

Front Artif Intell. 2022 Jun 13;5:884485. doi: 10.3389/frai.2022.884485. eCollection 2022.

Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner.

J Neurosci. 2009 Oct 21;29(42):13172-81. doi: 10.1523/JNEUROSCI.2358-09.2009.

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.

Neural Netw. 2023 Aug;165:596-610. doi: 10.1016/j.neunet.2023.05.048. Epub 2023 Jun 5.

Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network.

Sensors (Basel). 2023 Aug 20;23(16):7281. doi: 10.3390/s23167281.

A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.

Neural Comput. 2008 Dec;20(12):2937-66. doi: 10.1162/neco.2008.05-07-530.

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.

IEEE Trans Neural Netw Learn Syst. 2024 Jul;35(7):9773-9786. doi: 10.1109/TNNLS.2023.3236635. Epub 2024 Jul 8.

本文引用的文献

Stable fixed points of combinatorial threshold-linear networks.

Adv Appl Math. 2024 Mar;154. doi: 10.1016/j.aam.2023.102652. Epub 2023 Dec 13.

Geometric framework to predict structure from function in neural networks.

Phys Rev Res. 2022 Jun-Aug;4(2):023255. doi: 10.1103/physrevresearch.4.023255. Epub 2022 Jun 22.

Sequential Attractors in Combinatorial Threshold-Linear Networks.

SIAM J Appl Dyn Syst. 2022;21(2):1597-1630. doi: 10.1137/21m1445120.

Core motifs predict dynamic attractors in combinatorial threshold-linear networks.

PLoS One. 2022 Mar 4;17(3):e0264456. doi: 10.1371/journal.pone.0264456. eCollection 2022.

Fixed Points of Competitive Threshold-Linear Networks.

Neural Comput. 2019 Jan;31(1):94-155. doi: 10.1162/neco_a_01151. Epub 2018 Nov 21.

Pattern Completion in Symmetric Threshold-Linear Networks.

Neural Comput. 2016 Dec;28(12):2825-2852. doi: 10.1162/NECO_a_00869. Epub 2016 Jul 8.

A blanket of inhibition: functional inferences from dense inhibitory connectivity.

Curr Opin Neurobiol. 2014 Jun;26:96-102. doi: 10.1016/j.conb.2013.12.015. Epub 2014 Jan 15.

Encoding binary neural codes in networks of threshold-linear neurons.

Neural Comput. 2013 Nov;25(11):2858-903. doi: 10.1162/NECO_a_00504. Epub 2013 Jul 29.

Flexible memory networks.

Bull Math Biol. 2012 Mar;74(3):590-614. doi: 10.1007/s11538-011-9678-9. Epub 2011 Aug 9.

Dense inhibitory connectivity in neocortex.

Neuron. 2011 Mar 24;69(6):1188-203. doi: 10.1016/j.neuron.2011.02.025.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验

相似文献

Graph rules for recurrent neural network dynamics: extended version.

ArXiv. 2023 Jan 30:arXiv:2301.12638v1.

Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt.

Front Public Health. 2024 May 20;12:1397260. doi: 10.3389/fpubh.2024.1397260. eCollection 2024.

MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks.

Mol Inform. 2021 Oct;40(10):e2100091. doi: 10.1002/minf.202100091. Epub 2021 Aug 19.

Constructing neural networks with pre-specified dynamics.

Sci Rep. 2024 Aug 14;14(1):18860. doi: 10.1038/s41598-024-69747-z.

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network.

Front Artif Intell. 2022 Jun 13;5:884485. doi: 10.3389/frai.2022.884485. eCollection 2022.

Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner.

J Neurosci. 2009 Oct 21;29(42):13172-81. doi: 10.1523/JNEUROSCI.2358-09.2009.

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.

Neural Netw. 2023 Aug;165:596-610. doi: 10.1016/j.neunet.2023.05.048. Epub 2023 Jun 5.

Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network.

Sensors (Basel). 2023 Aug 20;23(16):7281. doi: 10.3390/s23167281.

A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.

Neural Comput. 2008 Dec;20(12):2937-66. doi: 10.1162/neco.2008.05-07-530.

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.

IEEE Trans Neural Netw Learn Syst. 2024 Jul;35(7):9773-9786. doi: 10.1109/TNNLS.2023.3236635. Epub 2024 Jul 8.

本文引用的文献

Stable fixed points of combinatorial threshold-linear networks.

Adv Appl Math. 2024 Mar;154. doi: 10.1016/j.aam.2023.102652. Epub 2023 Dec 13.

Geometric framework to predict structure from function in neural networks.

Phys Rev Res. 2022 Jun-Aug;4(2):023255. doi: 10.1103/physrevresearch.4.023255. Epub 2022 Jun 22.

Sequential Attractors in Combinatorial Threshold-Linear Networks.

SIAM J Appl Dyn Syst. 2022;21(2):1597-1630. doi: 10.1137/21m1445120.

Core motifs predict dynamic attractors in combinatorial threshold-linear networks.

PLoS One. 2022 Mar 4;17(3):e0264456. doi: 10.1371/journal.pone.0264456. eCollection 2022.

Fixed Points of Competitive Threshold-Linear Networks.

Neural Comput. 2019 Jan;31(1):94-155. doi: 10.1162/neco_a_01151. Epub 2018 Nov 21.

Pattern Completion in Symmetric Threshold-Linear Networks.

Neural Comput. 2016 Dec;28(12):2825-2852. doi: 10.1162/NECO_a_00869. Epub 2016 Jul 8.

A blanket of inhibition: functional inferences from dense inhibitory connectivity.

Curr Opin Neurobiol. 2014 Jun;26:96-102. doi: 10.1016/j.conb.2013.12.015. Epub 2014 Jan 15.

Encoding binary neural codes in networks of threshold-linear neurons.

Neural Comput. 2013 Nov;25(11):2858-903. doi: 10.1162/NECO_a_00504. Epub 2013 Jul 29.

Flexible memory networks.

Bull Math Biol. 2012 Mar;74(3):590-614. doi: 10.1007/s11538-011-9678-9. Epub 2011 Aug 9.

Dense inhibitory connectivity in neocortex.

Neuron. 2011 Mar 24;69(6):1188-203. doi: 10.1016/j.neuron.2011.02.025.