Transmission of neural activity in a feedforward network

被引：7
|
作者：
Wang, ST
Wang, W [1 ]
机构：
[1] Nanjing Univ, Natl Lab Solid State Microstruct, Nanjing 210093, Peoples R China
[2] Nanjing Univ, Dept Phys, Nanjing 210093, Peoples R China
来源：
NEUROREPORT | 2005年 / 16卷 / 08期
关键词：
coherence resonance; frequency sensitivity; population rate; synchronization;
D O I：
10.1097/00001756-200505310-00006
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
In this work, the enhancement of coherence resonance of firings in a 10-layer feedforward neuronal network with sparse couplings is found when there is noise input to each layer. Periodic signals with frequency 30-80 Hz are found to be well transmitted though the network, and such a frequency sensitivity can be modulated by the noise intensity and is different in different layers. When a random pulse-like signal is input to the neurons of the first layer, the signal can be well read out from the population rates in an optimal range of noise intensity. This ability decreases as the layer index increases. NeuroReport 16:807-811 (c) 2005 Lippincott Williams & Wilkins.
引用
收藏
页码：807 / 811
页数：5
相关论文
共 50 条
  • [41] 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
  • [42] 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
  • [43] Reverberating activity in a neural network with distributed signal transmission delays
    Omi, Takahiro
    Shinomoto, Shigeru
    PHYSICAL REVIEW E, 2007, 76 (05):
  • [44] Enhancing Weak Signal Transmission Through a Feedforward Network
    Liang, Xiaoming
    Zhao, Liang
    Liu, Zonghua
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (09) : 1506 - 1512
  • [45] Development of a computational model on the neural activity patterns of a visual working memory in a hierarchical feedforward Network
    An, Soyoung
    Choi, Woochul
    Paik, Se-Bum
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2015, 67 (10) : L1713 - L1718
  • [46] Development of a computational model on the neural activity patterns of a visual working memory in a hierarchical feedforward Network
    Soyoung An
    Woochul Choi
    Se-Bum Paik
    Journal of the Korean Physical Society, 2015, 67 : 1713 - 1718
  • [47] Mixed Gases Recognition Based on Feedforward Neural Network
    Tao, Zhou
    Lei, Wang
    IITSI 2009: SECOND INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS, 2009, : 128 - 131
  • [48] Feedforward neural network design with tridiagonal symmetry constraints
    Dumitras, A
    Kossentini, F
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (05) : 1446 - 1454
  • [49] Evaluation of the feedforward neural network covariance matrix error
    Abid, S
    Fnaiech, F
    Najim, M
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3482 - 3485
  • [50] Research on feedforward neural network, wavelet transformation, wavelet network and their relations
    Liu, ZG
    He, ZY
    Qian, QQ
    IWADS: 2ND INTERNATIONAL WORKSHOP ON AUTONOMOUS DECENTRALIZED SYSTEM, PROCEEDINGS, 2002, : 277 - 281
12345