Long-Range Temporal Correlations, Multifractality, and the Causal Relation between Neural Inputs and Movements.
Long-Range Temporal Correlations, Multifractality, and the Causal Relation between Neural Inputs and Movements.
复制标题
DOI：
10.3389/fneur.2013.00158
复制
发表时间：
2013
影响因子：
3.4
通讯作者：
Gao J
中科院分区：
文献类型：
--
作者：
Hu J;Zheng Y;Gao J
了解神经输入和运动之间的因果关系对于脑机接口（BMI）的成功非常重要。在这项研究中，我们使用统计、信息论和分形分析来分析 104 个神经元的放电。后者包括法诺因子分析、多重分形自适应分形分析（MF-AFA）和小波多重分形分析。我们发现神经元放电是高度不稳定的，Fano因子分析总是表明神经元放电的长程相关性，无论这些放电是否与运动轨迹相关，因此没有揭示神经输入和运动之间的任何实际相关性。另一方面，MF-AFA和小波多重分形分析清楚地表明，当神经元放电与运动轨迹相关性不佳时，它们不具有或仅具有弱时间相关性。当神经元放电与运动密切相关时，它们的特征是非常强的时间相关性，时间尺度可与两个连续到达任务之间的平均时间相当。这表明，与手部轨迹密切相关的神经元在每次到达任务开始时都经历了“重置”效应，从某种意义上说，在运动相关神经元内，尖峰训练的长程依赖性在猴子用于在任务执行之间切换的时间长度内持续存在。新的任务执行会重新设置他们的活动，使他们在较长的时间尺度上与之前的活动只有微弱的相关性。我们进一步讨论了这些重要神经元的联合在执行假肢皮质控制中的重要性。
Understanding the causal relation between neural inputs and movements is very important for the success of brain-machine interfaces (BMIs). In this study, we analyze 104 neurons’ firings using statistical, information theoretic, and fractal analysis. The latter include Fano factor analysis, multifractal adaptive fractal analysis (MF-AFA), and wavelet multifractal analysis. We find neuronal firings are highly non-stationary, and Fano factor analysis always indicates long-range correlations in neuronal firings, irrespective of whether those firings are correlated with movement trajectory or not, and thus does not reveal any actual correlations between neural inputs and movements. On the other hand, MF-AFA and wavelet multifractal analysis clearly indicate that when neuronal firings are not well correlated with movement trajectory, they do not have or only have weak temporal correlations. When neuronal firings are well correlated with movements, they are characterized by very strong temporal correlations, up to a time scale comparable to the average time between two successive reaching tasks. This suggests that neurons well correlated with hand trajectory experienced a “re-setting” effect at the start of each reaching task, in the sense that within the movement correlated neurons the spike trains’ long-range dependences persisted about the length of time the monkey used to switch between task executions. A new task execution re-sets their activity, making them only weakly correlated with their prior activities on longer time scales. We further discuss the significance of the coalition of those important neurons in executing cortical control of prostheses.
登录
查看更多内容
DOI：
10.1073/pnas.1215092109
发表时间：
2012-10-16
影响因子：
11.1
作者：
Hauschild, Markus;Mulliken, Grant H.;Andersen, Richard A.
通讯作者：
Andersen, Richard A.
影响因子：
3.1
作者：
Hu, Jing;Lee, Jae-Min;Crosson, Bruce
通讯作者：
Crosson, Bruce
影响因子：
3.8
作者：
Kuznetsov, Nikita;Bonnette, Scott;Riley, Michael A.
通讯作者：
Riley, Michael A.
影响因子：
25
作者：
Crick, F;Koch, C
通讯作者：
Koch, C
影响因子：
3.7
作者：
Gao J;Hu J;Tung WW
通讯作者：
Tung WW