Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem 91904, Israel.
J Neurosci. 2013 May 1;33(18):7912-8. doi: 10.1523/JNEUROSCI.3763-12.2013.
Neuronal dynamics is intrinsically unstable, producing activity fluctuations that are essentially scale free. Here we study single cortical neurons of newborn rats in vitro, and show that while these scale-free fluctuations are independent of temporal input statistics, they can be entrained by input variation. Joint input-output statistics and spike train reproducibility in synaptically isolated cortical neurons were measured in response to various input regimes over extended timescales (many minutes). Response entrainment was found to be maximal when the input itself possesses natural-like, scale-free statistics. We conclude that preference for natural stimuli, often observed at the system level, exists already at the elementary, single neuron level.
神经元动力学本质上是不稳定的，会产生基本上无标度的活动波动。在这里，我们研究了体外新生大鼠的单个皮质神经元，并表明尽管这些无标度波动与时间输入统计无关，但它们可以被输入变化所诱导。在扩展的时间尺度（许多分钟）内，针对各种输入状态，在突触分离的皮质神经元中测量了联合输入-输出统计和尖峰列车可重复性。发现当输入本身具有自然样的无标度统计时，响应会被最大程度地诱导。我们得出的结论是，对自然刺激的偏好，通常在系统水平上观察到，已经存在于基本的单个神经元水平。
