尖峰频率适应抑制了双向尖峰相关性
Jixuan Wang1, Bin Deng1, Tianshi Gao1
1School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Frontiers in neuroscience
|June 28, 2023
概括
尖峰频率适应 (SFA) 通过降低单个神经元发射率来降低神经网络输出相关性. 这种细胞机制影响网络编码策略,将细胞过程与人口级信息处理联系起来.
科学领域:
- 计算神经科学是一种计算神经科学.
- 神经编码的神经编码
- 细胞神经生理学细胞神经生理学
背景情况:
- 神经群体编码依赖于神经元之间的尖峰列车输出相关性.
- 尖峰频率适应 (SFA) 调节单个神经元的发射率,但其对输出相关性的影响尚不清楚.
研究的目的:
- 调查SFA影响高峰列车输出相关性的机制.
- 为了确定SFA如何影响神经群体编码.
主要方法:
- 开发了一种双向神经元模型,通过适应电流和动态值模拟相关输入和SFA.
- 用了一种具有值线性转移函数的现象学神经元模型进行确认.
主要成果:
- 通过降低单个神经元发射率,SFA 降低了输出相关性.
- 适应电流和动态值都会降低输出相关性.
- 较强的SFA导致输出相关性较大下降.
结论:
- 通过调节单个神经元的发射速度,SFA减少了双对神经输出相关性.
- 这项研究建立了细胞适应机制和网络编码策略之间的联系.
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