Department of Biomedical Engineering, University of Texas at Austin Austin, TX, USA.
Front Physiol. 2011 Sep 22;2:60. doi: 10.3389/fphys.2011.00060. eCollection 2011.
Metaphors of Computation and Information tended to detract attention from the intrinsic modes of neural system functions, uncontaminated by the observer's role in collection, and interpretation of experimental data. Recognizing the self-referential mode of function, and the propensity for self-organization to critical states requires a fundamentally new orientation, based on Complex System Dynamics as non-ergodic, non-stationary processes with inverse-power-law statistical distributions. Accordingly, local cooperative processes, intrinsic to neural structures, and of fractal nature, call for applying Fractional Calculus and models of Random Walks with long-term memory in Theoretical Neuroscience studies.
计算和信息的隐喻往往会分散人们对神经系统功能固有模式的注意力，这些模式不受观察者在数据收集和解释方面的影响。认识到功能的自指模式，以及自组织向临界状态的倾向，需要一种基于复杂系统动力学的全新取向，这种动力学是非遍历的、非平稳的，具有幂律统计分布的逆。因此，神经结构中内在的、分形性质的局部协同过程，需要在理论神经科学研究中应用分数微积分和具有长期记忆的随机游走模型。
