• DocumentCode
    550724
  • Title

    Action potential initial dynamical analysis of neuron spiking adaptation

  • Author

    Jin Qitao ; Wang Jiang ; Jia Qiuju ; Deng Bin ; Wei Xile ; Che Yanqiu

  • Author_Institution
    Dept. of Electr. & Autom. Eng, Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    572
  • Lastpage
    577
  • Abstract
    Neuron is the basic unit of neuron system and information processing. The response property and information coding style of neuron to external stimulus is realized essentially through change of neurons physiological characteristics. Some important properties of neuron, such as adaptability, sensitivity and reliability, are both closely related to neural coding. During sustained stimulation, neuron spiking frequency may decrease, which is called neuron spiking adaptation. Former researches have shown that neuron spiking adaptation is decided by action potential initial dynamical mechanism of the interaction among various ion currents. In this paper, we set to study the influence of adaptation on action potential initial dynamical mechanism. Combining the result with the corresponding relationship between action potential initial dynamical mechanism and neural coding, we can further reveal the physiological mechanism of the impact of neuron spiking adaptation on neural coding.
  • Keywords
    neural nets; reliability; action potential initial dynamical analysis; adaptability; external stimulus; information coding style; information processing; neural coding; neuron spiking frequency; neurons physiological characteristics; physiological mechanism; reliability; sensitivity; Adaptation models; Automation; Electrical engineering; Electronic mail; Encoding; Neurons; Physiology; Action Potential Initial Dynamical; Neuron Coding; Neuron Spiking Adaptation; Physiological Mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001063