Network Effect on the Enhancement of Stochastic Resonance in a Randomly Connected Neural Network

被引：0
|
作者：
Deng, Bin [1 ]
Wang, Lin [1 ]
Wei, Xile [1 ]
Yu, Haitao [1 ]
Wang, Jiang [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Nankai, Tianjin Provinc, Peoples R China
来源：
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年
基金：
中国国家自然科学基金;
关键词：
Stochastic Resonance; Neural Network; NOISE; MODEL; OSCILLATIONS; STIMULATION; SYSTEMS; NEURONS; BRAIN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate the effects of the network amplification on stochastic resonance in a randomly connected neural network. The network consists of excitatory and inhibitory neurons with similar ratio as that in the mammalian neocortex and the axonal conduction delays between neurons are also considered. Numerical results elucidate that the resonance in the neural network is just the expression of some amplification of the field effects by the whole network rather than an expression of single neurons intrinsic dynamics.
引用
收藏
页码：5457 / 5462
页数：6
相关论文
共 50 条
  • [1] Vibrational resonance in a randomly connected neural network
    Qin, Yingmei
    Han, Chunxiao
    Che, Yanqiu
    Zhao, Jia
    COGNITIVE NEURODYNAMICS, 2018, 12 (05) : 509 - 518
  • [2] Vibrational resonance in a randomly connected neural network
    Yingmei Qin
    Chunxiao Han
    Yanqiu Che
    Jia Zhao
    Cognitive Neurodynamics, 2018, 12 : 509 - 518
  • [3] Endogenous fields enhanced stochastic resonance in a randomly coupled neuronal network
    Deng, Bin
    Wang, Lin
    Wang, Jiang
    Wei, Xi-le
    Yu, Hai-tao
    CHAOS SOLITONS & FRACTALS, 2014, 68 : 30 - 39
  • [4] Effects of network topologies on stochastic resonance in feedforward neural network
    Zhao, Jia
    Qin, Yingmei
    Che, Yanqiu
    Ran, Huangyanqiu
    Li, Jingwen
    COGNITIVE NEURODYNAMICS, 2020, 14 (03) : 399 - 409
  • [5] Effects of network topologies on stochastic resonance in feedforward neural network
    Jia Zhao
    Yingmei Qin
    Yanqiu Che
    Huangyanqiu Ran
    Jingwen Li
    Cognitive Neurodynamics, 2020, 14 : 399 - 409
  • [6] Noise in a randomly and sparsely connected excitatory neural network generates the respiratory rhythm.
    Vibert, JF
    Kosmidis, EK
    FLUCTUATIONS AND NOISE IN BIOLOGICAL, BIOPHYSICAL, AND BIOMEDICAL SYSTEMS, 2003, 5110 : 210 - 223
  • [7] Synchronization and stochastic resonance of the small-world neural network based on the CPG
    Lu, Qiang
    Tian, Juan
    COGNITIVE NEURODYNAMICS, 2014, 8 (03) : 217 - 226
  • [8] Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance
    Wang, Chen
    Qiao, Zijian
    Huang, Zhangjun
    Xu, Junchen
    Fang, Shitong
    Zhang, Cailiang
    Liu, Jinjun
    Zhu, Ronghua
    Lai, Zhihui
    SENSORS, 2022, 22 (22)
  • [9] Inverse stochastic resonance in modular neural network with synaptic plasticity
    Yu, Yong-Tao
    Yang, Xiao-Li
    CHINESE PHYSICS B, 2023, 32 (03)
  • [10] Stochastic resonance neural network and its performance
    Nobori, T
    Matsui, N
    IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL II, 2000, : 13 - 17
12345