Gautam Shree Hari, Hoang Thanh T, McClanahan Kylie, Grady Stephen K, Shew Woodrow L
Department of Physics, University of Arkansas, Fayetteville, Arkansas, United States of America.
PLoS Comput Biol. 2015 Dec 1;11(12):e1004576. doi: 10.1371/journal.pcbi.1004576. eCollection 2015 Dec.
Modulation of interactions among neurons can manifest as dramatic changes in the state of population dynamics in cerebral cortex. How such transitions in cortical state impact the information processing performed by cortical circuits is not clear. Here we performed experiments and computational modeling to determine how somatosensory dynamic range depends on cortical state. We used microelectrode arrays to record ongoing and whisker stimulus-evoked population spiking activity in somatosensory cortex of urethane anesthetized rats. We observed a continuum of different cortical states; at one extreme population activity exhibited small scale variability and was weakly correlated, the other extreme had large scale fluctuations and strong correlations. In experiments, shifts along the continuum often occurred naturally, without direct manipulation. In addition, in both the experiment and the model we directly tuned the cortical state by manipulating inhibitory synaptic interactions. Our principal finding was that somatosensory dynamic range was maximized in a specific cortical state, called criticality, near the tipping point midway between the ends of the continuum. The optimal cortical state was uniquely characterized by scale-free ongoing population dynamics and moderate correlations, in line with theoretical predictions about criticality. However, to reproduce our experimental findings, we found that existing theory required modifications which account for activity-dependent depression. In conclusion, our experiments indicate that in vivo sensory dynamic range is maximized near criticality and our model revealed an unanticipated role for activity-dependent depression in this basic principle of cortical function.
神经元间相互作用的调节可表现为大脑皮层群体动力学状态的显著变化。目前尚不清楚皮层状态的这种转变如何影响皮层回路所执行的信息处理。在此,我们进行了实验和计算建模,以确定体感动态范围如何依赖于皮层状态。我们使用微电极阵列记录在氨基甲酸乙酯麻醉大鼠体感皮层中持续的以及触须刺激诱发的群体尖峰活动。我们观察到一系列不同的皮层状态;在一个极端,群体活动表现出小规模的变异性且相关性较弱,而在另一个极端则有大规模的波动且相关性较强。在实验中,沿着这个连续体的转变常常自然发生,无需直接操控。此外,在实验和模型中,我们都通过操纵抑制性突触相互作用直接调节皮层状态。我们的主要发现是,体感动态范围在一种特定的皮层状态下达到最大值,这种状态称为临界状态,它靠近连续体两端中点的临界点。最优的皮层状态具有无标度的持续群体动力学和适度相关性这一独特特征,这与关于临界状态的理论预测相符。然而,为了重现我们的实验结果,我们发现现有理论需要进行修正,以考虑活动依赖的抑制作用。总之,我们的实验表明,体内感觉动态范围在临界状态附近达到最大值,并且我们的模型揭示了活动依赖的抑制作用在皮层功能这一基本原理中所起的意外作用。