新皮层相互作用的统计力学：大尺度EEG对分子过程的影响
Statistical mechanics of neocortical interactions: large-scale EEG influences on molecular processes
摘要：
最近的计算进一步支持了神经元的大规模同步放电可能影响分子过程的前提。背景是短期记忆（STM）任务期间的头皮脑电图（EEG）。所考虑的机制是$\mathbfΠ = \mathbf{p} + q \mathbf{A}$（SI单位）耦合，其中$\mathbf{p}$是自由$\mathrm{Ca}^{2+}$波的动量，$q$是以电子电荷为单位的$\mathrm{Ca}^{2+}$的电荷，$\mathbf{A}$是来自神经元微柱放电的电流$\mathbf{I}$的磁矢量势，被认为是导线，产生EEG。使用多个图形处理数据以识别应用样条-拉普拉斯变换的数据部分，以将新皮层相互作用（SMNI）模型的统计力学拟合到EEG数据，对受到$\mathrm{Ca}^{2+}$波修改的突触相互作用敏感。
英文摘要：
Recent calculations further supports the premise that large-scale synchronous firings of neurons may affect molecular processes. The context is scalp electroencephalography (EEG) during short-term memory (STM) tasks. The mechanism considered is $\mathbfΠ = \mathbf{p} + q \mathbf{A}$ (SI units) coupling, where $\mathbf{p}$ is the momenta of free $\mathrm{Ca}^{2+}$ waves $q$ the charge of $\mathrm{Ca}^{2+}$ in units of the electron charge, and $\mathbf{A}$ the magnetic vector potential of current $\mathbf{I}$ from neuronal minicolumnar firings considered as wires, giving rise to EEG. Data has processed using multiple graphs to identify sections of data to which spline-Laplacian transformations are applied, to fit the statistical mechanics of neocortical interactions (SMNI) model to EEG data, sensitive to synaptic interactions subject to modification by $\mathrm{Ca}^{2+}$ waves.
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