Data for: Dynamical phase transition in spike neuronal firing patterns of hippocampal cells

To determine the dynamical state of the neurons, we have focused on the statistics of the distributions of inter-spike intervals. In particular, we identify two states. The first is the basal state, in which cell spiking follows non-correlated (memory-less) random statistics, usually with a Poisson-like distribution of intervals. The second state is obtained by the activation of the phospholipase C (PLC) signaling cascade with oxotremorine-M (Oxo-M), a M1 receptor agonist, which introduces temporal correlations in the spiking intervals. We interpret these correlations as a shift of the neuronal dynamics towards a critical state. We corroborate that this shift in dynamics is due to a change in the M-channel by applying the specific channel blocker XE991, as well as by blocking the phospholipase C (PLC) with U73122.

为确定神经元的动力学状态，本研究聚焦于峰间期（inter-spike intervals）的分布统计特性。研究共识别出两类神经元活动状态：其一为基础状态，此时细胞放电遵循无关联（无记忆）的随机统计规律，峰间期通常呈类泊松分布；其二则通过使用M1受体激动剂氧化震颤素-M（oxotremorine-M, Oxo-M）激活磷脂酶C（phospholipase C, PLC）信号级联而诱导产生，该处理会在神经元放电峰间期引入时间相关性。我们将此类相关性解读为神经元动力学向临界态的偏移。通过施加特异性M通道阻滞剂XE991，以及利用U73122阻断磷脂酶C（PLC），我们证实该动力学偏移正是由M通道的功能变化所介导。