Vogels Tim P, Rajan Kanaka, Abbott L F
Volen Center for Complex Systems and Department of Biology, Brandeis University, Waltham, MA 02454-9110, USA.
Annu Rev Neurosci. 2005;28:357-76. doi: 10.1146/annurev.neuro.28.061604.135637.
Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory network activity; and (c) chaotic activity, which models complex patterns of background spiking in cortical and other circuits. We also review propagation of stimulus-driven activity through spontaneously active networks. Exploring these aspects of neural network dynamics is critical for understanding how neural circuits produce cognitive function.
神经网络建模通常关注刺激驱动的反应，但大脑中的大部分活动是内在产生的。在这里，我们回顾内在产生活动的网络模型，重点关注三种类型的网络动力学：(a) 对瞬态刺激的持续反应，它提供了一种工作记忆模型；(b) 振荡网络活动；以及 (c) 混沌活动，它模拟皮质和其他回路中背景尖峰的复杂模式。我们还回顾了刺激驱动活动在自发活动网络中的传播。探索神经网络动力学的这些方面对于理解神经回路如何产生认知功能至关重要。
