arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0907.3924q-bio.NCq-bio.QM
收藏

共同驱动神经振子的脉冲序列相关时标

Timescales of spike-train correlation for neural oscillators with common drive

Andrea K. Barreiro, Eric Shea-Brown, Evan L. Thilo

摘要:

我们研究了相位重置曲线(PRC)的相关输入信号到相关的输出尖峰在一类神经模型接收噪声,超阈值刺激的转移的效果。我们使用线性响应理论来近似的尖峰相关系数的时刻相关的退出时间问题,并对比的结果为I型与II型模型和跨不同的时间尺度,尖峰相关性可以评估。我们发现,在长时间尺度上,I型振荡器传输相关性比II型振荡器更有效。在较短的时间尺度上,这种趋势会发生逆转,相对效率的切换时间尺度取决于输入电流的平均值和标准差。这种转换发生在下游电路可以利用的时间尺度上。

英文摘要:

We examine the effect of the phase-resetting curve (PRC) on the transfer of correlated input signals into correlated output spikes in a class of neural models receiving noisy, super-threshold stimulation. We use linear response theory to approximate the spike correlation coefficient in terms of moments of the associated exit time problem, and contrast the results for Type I vs. Type II models and across the different timescales over which spike correlations can be assessed. We find that, on long timescales, Type I oscillators transfer correlations much more efficiently than Type II oscillators. On short timescales this trend reverses, with the relative efficiency switching at a timescale that depends on the mean and standard deviation of input currents. This switch occurs over timescales that could be exploited by downstream circuits.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑