Chacron Maurice J, Lindner Benjamin, Longtin André
Department of Physiology, Center for Nonlinear Dynamics, McGill University, Montreal, H3G-1Y6, Canada.
J Comput Neurosci. 2007 Dec;23(3):301-11. doi: 10.1007/s10827-007-0033-y. Epub 2007 Apr 14.
Neurons in vivo must process sensory information in the presence of significant noise. It is thus plausible to assume that neural systems have developed mechanisms to reduce this noise. Theoretical studies have shown that threshold fatigue (i.e. cumulative increases in the threshold during repetitive firing) could lead to noise reduction at certain frequencies bands and thus improved signal transmission as well as noise increases and decreased signal transmission at other frequencies: a phenomenon called noise shaping. There is, however, no experimental evidence that threshold fatigue actually occurs and, if so, that it will actually lead to noise shaping. We analyzed action potential threshold variability in intracellular recordings in vivo from pyramidal neurons in weakly electric fish and found experimental evidence for threshold fatigue: an increase in instantaneous firing rate was on average accompanied by an increase in action potential threshold. We show that, with a minor modification, the standard Hodgkin-Huxley model can reproduce this phenomenon. We next compared the performance of models with and without threshold fatigue. Our results show that threshold fatigue will lead to a more regular spike train as well as robustness to intrinsic noise via noise shaping. We finally show that the increased/reduced noise levels due to threshold fatigue correspond to decreased/increased information transmission at different frequencies.
活体内的神经元必须在存在大量噪声的情况下处理感觉信息。因此,有理由假设神经系统已经发展出减少这种噪声的机制。理论研究表明,阈值疲劳(即重复放电期间阈值的累积增加)可能会导致特定频段的噪声降低,从而改善信号传输,同时在其他频率上导致噪声增加和信号传输减少:这一现象称为噪声整形。然而,没有实验证据表明阈值疲劳实际发生,以及即便发生,它是否真的会导致噪声整形。我们分析了弱电鱼体内锥体神经元细胞内记录中的动作电位阈值变异性,并发现了阈值疲劳的实验证据:瞬时放电率的增加平均伴随着动作电位阈值的增加。我们表明,只需稍加修改,标准的霍奇金 - 赫胥黎模型就能重现这一现象。接下来,我们比较了有阈值疲劳和无阈值疲劳模型的性能。我们的结果表明,阈值疲劳将通过噪声整形导致更规则的脉冲序列以及对内在噪声的鲁棒性。我们最终表明,由于阈值疲劳导致的噪声水平增加/降低对应于不同频率下信息传输的减少/增加。