东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (9): 1229-1233.DOI: 10.12068/j.issn.1005-3026.2014.09.004

• 信息与控制 • 上一篇    下一篇

交流电场下神经元适应性的两种放电机制对比分析

袁春华，王江   

  1. (天津大学 电气与自动化工程学院， 天津300072)
  • 收稿日期:2013-10-17 修回日期:2013-10-17 出版日期:2014-09-15 发布日期:2014-04-11
  • 通讯作者: 袁春华
  • 作者简介:袁春华(1987-)，女，辽宁沈阳人，天津大学博士研究生；王江(1964-)，男，河北唐山人，天津大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61172009，61072012)

Comparison of Firing Mechanisms of Neuron Model Adaptability Under External Alternating Electric Field

YUAN Chunhua， WANG Jiang   

  1. School of Electrical Engineering and Automation， Tianjin University， Tianjin 300072， China.
  • Received:2013-10-17 Revised:2013-10-17 Online:2014-09-15 Published:2014-04-11
  • Contact: WANG Jiang
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

809

摘要： 研究了两种神经元模型放电频率适应性的机制，对比分析了不同机制之间的差异，基于线性积分放电(LIF)神经元模型，建立了在交流外电场作用下LIFAC和LIFDT两种改进的LIF适应性模型.通过分析不同机制模型的初始和稳态放电频率曲线，发现LIFAC机制的放电频率曲线向高输入方向水平右移，且保持斜率不变，LIFDT机制的放电频率曲线呈发散状，斜率递减.在固定频率的交流外电场作用下，稳态放电频率曲线呈线性.另外通过对噪声下放电峰峰间期的相关性和变异性分析，进一步阐明外电场对不同机制适应性的影响.

关键词: 放电频率适应性, 交流外电场, 积分效电神经元模型, LIFAC和LIFDT放电机制, 相关性

Abstract: Spikefrequency adaption is a prominent feature of neuronal dynamics. It plays an important role in neuronal information processing. To investigate the different mechanisms of spikefrequency， two kinds of modified leaky integrateandfire models(LIF models)under external alternating electric field were established. The curves of the onset spike frequency and the spikefrequency of the steady state were analyzed. The LIFAC shifted the frequency curves to higher inputs without affecting its slope， and the LIFDT had a divisive effect on the frequency curves. The spike frequency of the steady state was linear under the external alternating electric field. The effects of external alternating electric field on different kinds of adaption mechanisms were also analyzed by the correlation and the variability between consecutive interspike intervals.

Key words: spikefrequency adaption, external alternating electric field, leaky integrateandfire(LIF)neuron model, LIFAC and LIFDT firing mechanisms, correlation

中图分类号: