Assisi Collins, Stopfer Mark, Bazhenov Maxim
Department of Cell Biology and Neuroscience, University of California, Riverside, Riverside, CA 92521, USA.
Neuron. 2011 Jan 27;69(2):373-86. doi: 10.1016/j.neuron.2010.12.019.
Neuronal networks exhibit a rich dynamical repertoire, a consequence of both the intrinsic properties of neurons and the structure of the network. It has been hypothesized that inhibitory interneurons corral principal neurons into transiently synchronous ensembles that encode sensory information and subserve behavior. How does the structure of the inhibitory network facilitate such spatiotemporal patterning? We established a relationship between an important structural property of a network, its colorings, and the dynamics it constrains. Using a model of the insect antennal lobe, we show that our description allows the explicit identification of the groups of inhibitory interneurons that switch, during odor stimulation, between activity and quiescence in a coordinated manner determined by features of the network structure. This description optimally matches the perspective of the downstream neurons looking for synchrony in ensembles of presynaptic cells and allows a low-dimensional description of seemingly complex high-dimensional network activity.
神经元网络展现出丰富的动态特性,这是神经元内在特性和网络结构共同作用的结果。据推测,抑制性中间神经元将主要神经元聚集到瞬时同步的集合中,这些集合编码感觉信息并服务于行为。抑制性网络的结构是如何促进这种时空模式形成的呢?我们建立了网络的一种重要结构属性——其着色,与它所约束的动力学之间的关系。利用昆虫触角叶模型,我们表明,我们的描述能够明确识别出在气味刺激期间,以由网络结构特征所决定的协调方式在活动和静止之间切换的抑制性中间神经元群体。这种描述与在突触前细胞集合中寻找同步性的下游神经元的视角最佳匹配,并允许对看似复杂的高维网络活动进行低维描述。