Beggs John M, Timme Nicholas
Department of Physics, Indiana University Bloomington, IN, USA.
Front Physiol. 2012 Jun 7;3:163. doi: 10.3389/fphys.2012.00163. eCollection 2012.
Relatively recent work has reported that networks of neurons can produce avalanches of activity whose sizes follow a power law distribution. This suggests that these networks may be operating near a critical point, poised between a phase where activity rapidly dies out and a phase where activity is amplified over time. The hypothesis that the electrical activity of neural networks in the brain is critical is potentially important, as many simulations suggest that information processing functions would be optimized at the critical point. This hypothesis, however, is still controversial. Here we will explain the concept of criticality and review the substantial objections to the criticality hypothesis raised by skeptics. Points and counter points are presented in dialog form.
最近的研究报告称,神经元网络能够产生活动雪崩,其规模遵循幂律分布。这表明这些网络可能在临界点附近运行,处于活动迅速消失的阶段和活动随时间放大的阶段之间。大脑神经网络的电活动处于临界状态这一假设可能具有重要意义,因为许多模拟表明信息处理功能在临界点会得到优化。然而,这一假设仍存在争议。在此,我们将解释临界性的概念,并回顾怀疑论者对临界性假设提出的重大质疑。观点和反驳观点以对话形式呈现。