当前位置：
X-MOL 学术
›
Phys. Rev. E
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Statistical complexity is maximized close to criticality in cortical dynamics
Physical Review E ( IF 2.2 ) Pub Date : 2021-01-25 , DOI: 10.1103/physreve.103.012415 Nastaran Lotfi 1 , Thaís Feliciano 1 , Leandro A A Aguiar 2 , Thais Priscila Lima Silva 1 , Tawan T A Carvalho 1 , Osvaldo A Rosso 3 , Mauro Copelli 1 , Fernanda S Matias 3 , Pedro V Carelli 1
Physical Review E ( IF 2.2 ) Pub Date : 2021-01-25 , DOI: 10.1103/physreve.103.012415 Nastaran Lotfi 1 , Thaís Feliciano 1 , Leandro A A Aguiar 2 , Thais Priscila Lima Silva 1 , Tawan T A Carvalho 1 , Osvaldo A Rosso 3 , Mauro Copelli 1 , Fernanda S Matias 3 , Pedro V Carelli 1
Affiliation
|
Complex systems are typically characterized as an intermediate situation between a complete regular structure and a random system. Brain signals can be studied as a striking example of such systems: cortical states can range from highly synchronous and ordered neuronal activity (with higher spiking variability) to desynchronized and disordered regimes (with lower spiking variability). It has been recently shown, by testing independent signatures of criticality, that a phase transition occurs in a cortical state of intermediate spiking variability. Here we use a symbolic information approach to show that, despite the monotonical increase of the Shannon entropy between ordered and disordered regimes, we can determine an intermediate state of maximum complexity based on the Jensen disequilibrium measure. More specifically, we show that statistical complexity is maximized close to criticality for cortical spiking data of urethane-anesthetized rats, as well as for a network model of excitable elements that presents a critical point of a nonequilibrium phase transition.
中文翻译：
统计复杂性最大化，接近皮质动力学的临界点
复杂系统通常被描述为介于完全规则结构和随机系统之间的中间情况。大脑信号可以作为此类系统的一个引人注目的例子来研究：皮质状态的范围可以从高度同步和有序的神经元活动（具有较高的尖峰变异性）到不同步和无序的状态（具有较低的尖峰变异性）。最近通过测试临界性的独立特征表明，相变发生在中间尖峰变异的皮质状态中。在这里，我们使用符号信息方法来表明，尽管有序和无序状态之间的香农熵单调增加，我们可以根据詹森不平衡测度确定最大复杂度的中间状态。更具体地说，我们表明统计复杂性最大化，接近聚氨酯麻醉大鼠的皮质尖峰数据的临界点，以及呈现非平衡相变临界点的可兴奋元素的网络模型。
更新日期：2021-01-26
中文翻译：
统计复杂性最大化，接近皮质动力学的临界点
复杂系统通常被描述为介于完全规则结构和随机系统之间的中间情况。大脑信号可以作为此类系统的一个引人注目的例子来研究：皮质状态的范围可以从高度同步和有序的神经元活动（具有较高的尖峰变异性）到不同步和无序的状态（具有较低的尖峰变异性）。最近通过测试临界性的独立特征表明，相变发生在中间尖峰变异的皮质状态中。在这里，我们使用符号信息方法来表明，尽管有序和无序状态之间的香农熵单调增加，我们可以根据詹森不平衡测度确定最大复杂度的中间状态。更具体地说，我们表明统计复杂性最大化，接近聚氨酯麻醉大鼠的皮质尖峰数据的临界点，以及呈现非平衡相变临界点的可兴奋元素的网络模型。
京公网安备 11010802027423号