The structure of multi-neuron firing patterns in primate retina
The structure of multi-neuron firing patterns in primate retina
复制标题
DOI：
10.1523/jneurosci.1282-06.2006
复制
发表时间：
2006-08-09
影响因子：
5.3
通讯作者：
Chichilnisky, E. J.
中科院分区：
文献类型：
--
作者：
Shlens, Jonathon;Field, Greg D.;Chichilnisky, E. J.
目前对许多神经回路的理解受到我们探索不同细胞之间大量潜在相互作用的能力的限制。我们提出了一种新的方法，大大降低了这个问题的复杂性。大规模的多电极记录被用来测量电活动，在几乎完整的，规则间隔的马赛克数百个ON和OFF阳伞视网膜神经节细胞在猕猴视网膜。阳伞细胞表现出实质性的成对相关性，已经在其他物种中观察到，表明功能连接。然而，单独的成对测量不足以确定多神经元放电模式的普遍性，这将从广泛不同的共同输入中预测，并被假设为向大脑传达不同的视觉信息。可能的多神经元放电模式的数量太大，无法详尽地研究，但如果可以建立两个简单的连接规则，这个问题就可以避免：（1）多细胞放电模式来自多个成对的相互作用，（2）相互作用仅限于马赛克中的相邻细胞。使用统计力学的最大熵方法，我们表明，成对和相邻的相互作用准确地解释了多神经元放电模式的结构和患病率，解释了类似于98%的偏离统计独立性的阳伞细胞和类似于99%的偏离重复测量是可重复的。这种方法提供了一种定义网络交互复杂性限制的方法，因此可能与探测许多神经回路的功能有关。
Current understanding of many neural circuits is limited by our ability to explore the vast number of potential interactions between different cells. We present a new approach that dramatically reduces the complexity of this problem. Large-scale multi-electrode recordings were used to measure electrical activity in nearly complete, regularly spaced mosaics of several hundred ON and OFF parasol retinal ganglion cells in macaque monkey retina. Parasol cells exhibited substantial pairwise correlations, as has been observed in other species, indicating functional connectivity. However, pairwise measurements alone are insufficient to determine the prevalence of multi-neuron firing patterns, which would be predicted from widely diverging common inputs and have been hypothesized to convey distinct visual messages to the brain. The number of possible multi-neuron firing patterns is far too large to study exhaustively, but this problem may be circumvented if two simple rules of connectivity can be established: (1) multi-cell firing patterns arise from multiple pairwise interactions, and (2) interactions are limited to adjacent cells in the mosaic. Using maximum entropy methods from statistical mechanics, we show that pairwise and adjacent interactions accurately accounted for the structure and prevalence of multi-neuron firing patterns, explaining similar to 98% of the departures from statistical independence in parasol cells and similar to 99% of the departures that were reproducible in repeated measurements. This approach provides a way to define limits on the complexity of network interactions and thus may be relevant for probing the function of many neural circuits.