Robust timing and motor patterns by taming chaos in recurrent neural networks

被引：0

作者：

Rodrigo Laje

Dean V Buonomano

机构：

[1] University of California,Department of Neurobiology

[2] University of California,Department of Psychology

[3] Brain Research Institute,undefined

[4] University of California,undefined

[5] Integrative Center for Learning and Memory,undefined

[6] University of California,undefined

[7] Present addresses: Departamento de Ciencia y Tecnología,undefined

[8] Universidad Nacional de Quilmes,undefined

[9] Bernal,undefined

[10] Argentina,undefined

[11] and Consejo Nacional de Investigaciones Científicas y Técnicas,undefined

[12] Buenos Aires,undefined

[13] Argentina.,undefined

来源：

Nature Neuroscience | 2013年 / 16卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Here the authors describe a recurrent neural network model that tells time on the order of seconds and generates complex spatiotemporal motor patterns in the presence of high levels of noise. Robustness is achieved through the tuning of the recurrent connections, which produces stable patterns in the face of perturbations.

引用

页码：925 / 933

页数：8

共 50 条

[41] Robust stability of recurrent neural networks with ISS learning algorithm
Choon Ki Ahn
Nonlinear Dynamics, 2011, 65 : 413 - 419
[42] Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
Amini, Arash
Liu, Guangyi
Motee, Nader
2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 783 - 788
[43] Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting
Krstanovic, Sascha
Paulheim, Heiko
ARTIFICIAL INTELLIGENCE XXXIV, AI 2017, 2017, 10630 : 34 - 46
[44] Multilayer recurrent neural networks for online robust pole assignment
Hu, SQ
Wang, J
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2003, 50 (11): : 1488 - 1494
[45] NEURAL NETWORKS AND CHAOS
FREEMAN, WJ
JOURNAL OF THEORETICAL BIOLOGY, 1994, 171 (01) : 13 - 18
[46] CHAOS IN NEURAL NETWORKS
RENALS, S
LECTURE NOTES IN COMPUTER SCIENCE, 1990, 412 : 90 - 99
[47] Robust Pinning Control of Complex Dynamical Networks using Recurrent Neural Networks
Sanchez, Edgar N.
Rodriguez, David I.
2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CONTROL AND AUTOMATION (CICA), 2014, : 83 - 89
[48] NONLINEAR-WAVES, PATTERNS AND SPATIOTEMPORAL CHAOS IN CELLULAR NEURAL NETWORKS
PEREZMUNUZURI, V
MUNUZURI, AP
GOMEZGESTEIRA, M
PEREZVILLAR, V
PIVKA, L
CHUA, LO
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1995, 353 (1701): : 101 - 113
[49] The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks
Molter, Colin
Salihoglu, Utku
Bersini, Hugues
NEURAL COMPUTATION, 2007, 19 (01) : 80 - 110
[50] A robust recurrent simultaneous perturbation stochastic approximation training algorithm for recurrent neural networks
Xu, Zhao
Song, Qing
Wang, Danwei
NEURAL COMPUTING & APPLICATIONS, 2014, 24 (7-8): : 1851 - 1866

← 1 2 3 4 5 →