Observability of Neuronal Network Motifs.
Observability of Neuronal Network Motifs.
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DOI：
10.1109/ciss.2012.6310923
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发表时间：
2012-03
期刊：
影响因子：
--
通讯作者：
Schiff SJ
中科院分区：
文献类型：
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作者：
Whalen AJ;Brennan SN;Sauer TD;Schiff SJ
我们将小型(3个节点)神经元网络中的可观性量化为1)连接拓扑和对称性、2)被测节点以及3)节点动力学(线性和非线性)的函数。我们发现，根据拓扑结构，3个神经元基元的典型可观测性度量在几个数量级上，而对于包含对称性的基元，当从特别混乱的节点观察时，网络可观测性降低。节点方程中的非线性通常会降低网络的平均可观测性，而完整的网络信息仅在系统相空间的有限区域内可用。我们的发现表明，这种网络是部分可观测的，并表明它们在从有限的测量数据重建网络动力学方面具有潜在的有效性。在实验环境中，如何很好地使用这些策略来重建和控制网络动态是未来实验工作的主题。
We quantify observability in small (3 node) neuronal networks as a function of 1) the connection topology and symmetry, 2) the measured nodes, and 3) the nodal dynamics (linear and nonlinear). We find that typical observability metrics for 3 neuron motifs range over several orders of magnitude, depending upon topology, and for motifs containing symmetry the network observability decreases when observing from particularly confounded nodes. Nonlinearities in the nodal equations generally decrease the average network observability and full network information becomes available only in limited regions of the system phase space. Our findings demonstrate that such networks are partially observable, and suggest their potential efficacy in reconstructing network dynamics from limited measurement data. How well such strategies can be used to reconstruct and control network dynamics in experimental settings is a subject for future experimental work.