Random neural networks with state-dependent firing neurons

被引：6

作者：

Jo, SH ^{[1
]}

Yin, HJ

Mao, ZH

机构：

[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA

[2] HRL Labs, Malibu, CA 90265 USA

[3] Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2005年 / 16卷 / 04期

关键词：

associative memory; random neural networks (RNNs); spiking neurons; state-dependent firing rate;

D O I：

10.1109/TNN.2005.849829

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This letter studies the properties of the random neural networks (RNNs) with state-dependent firing neurons. It is assumed that the times between successive signal emissions of a neuron are dependent on the neuron potential. Under certain conditions, the networks keep the simple product form of stationary solutions and exhibit enhanced capacity of adjusting the probability distribution of the neuron states. It is demonstrated that desired associative memory states can be stored in the networks.

引用

页码：980 / 983

页数：4

共 50 条

[1] State-dependent routing with a neural networks algorithm
Beijing Univ of Posts and, Telecommunications, Beijing, China
Beijing Youdian Xueyuan Xuebao, 2 (16-20):
[2] Stability of Boolean networks with state-dependent random impulses
Shen, Ya-wen
Guo, Yu-qian
Gui, Wei-hua
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2021, 22 (02) : 222 - 231
[3] Convergence for Hopfield neural networks with state-dependent delays
Cai, Mingshan
Xiong, Wanmin
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2011, 5 (03) : 407 - 412
[4] State-dependent asset allocation using neural networks
Bradrania, Reza
Neghab, Davood Pirayesh
EUROPEAN JOURNAL OF FINANCE, 2022, 28 (11): : 1130 - 1156
[5] State-dependent sensory processing in networks of VLSI spiking neurons
Neftci, Emre
Chicca, Elisabetta
Cook, Matthew
Indiveri, Giacomo
Douglas, Rodney
2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, 2010, : 2789 - 2792
[6] Stability Analysis of a Class of Neural Networks with State-Dependent State Delay
Chen, Yue
Zhang, Jin-E
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2020, 2020
[7] Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels
Liu, Shuai
Wang, Zidong
Shen, Bo
Wei, Guoliang
INFORMATION SCIENCES, 2021, 547 : 931 - 944
[8] Synchronization Analysis for State-Dependent Spiking Switched Neural Networks
Zhang, Xianxiu
Wu, Keke
Feng, Yuming
Yang, Yi
Zhang, Baojie
IEEE ACCESS, 2024, 12 : 129263 - 129272
[9] Synchronization Control of Neural Networks With State-Dependent Coefficient Matrices
Zhang, Junfeng
Zhao, Xudong
Huang, Jun
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (11) : 2440 - 2447
[10] Distributed Convex Optimization with State-Dependent Interactions over Random Networks
Alaviani, S. Sh
Kelkar, A. G.
2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 3149 - 3153

← 1 2 3 4 5 →