Correlations and population dynamics in cortical networks

被引:72
作者
Kriener, Birgit [1 ]
Tetzlaff, Tom [2 ,3 ]
Aertsen, Ad [1 ]
Diesmann, Markus [2 ,4 ]
Rotter, Stefan [2 ,5 ]
机构
[1] Univ Freiburg, Fac Biol, Bernstein Ctr Computat Neurosci & Neurobiol & Bio, D-79104 Freiburg, Germany
[2] Univ Freiburg, Bernstein Ctr Computat Neurosci, D-79104 Freiburg, Germany
[3] Norwegian Univ Life Sci, Inst Math Sci & Technol, N-1432 As, Norway
[4] RIKEN, Brain Sci Inst, Wako, Saitama 3510198, Japan
[5] Inst Frontier, Areas Psychol & Mental Hlth, D-79098 Freiburg, Germany
关键词
D O I
10.1162/neco.2008.02-07-474
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The function of cortical networks depends on the collective interplay between neurons and neuronal populations, which is reflected in the correlation of signals that can be recorded at different levels. To correctly interpret these observations it is important to understand the origin of neuronal correlations. Here we study how cells in large recurrent networks of excitatory and inhibitory neurons interact and how the associated correlations affect stationary states of idle network activity. We demonstrate that the structure of the connectivity matrix of such networks induces considerable correlations between synaptic currents as well as between subthreshold membrane potentials, provided Dale's principle is respected. If, in contrast, synaptic weights are randomly distributed, input correlations can vanish, even for densely connected networks. Although correlations are strongly attenuated when proceeding from membrane potentials to action potentials (spikes), the resulting weak correlations in the spike output can cause substantial fluctuations in the population activity, even in highly diluted networks. We show that simple mean-field models that take the structure of the coupling matrix into account can adequately describe the power spectra of the population activity. The consequences of Dale's principle on correlations and rate fluctuations are discussed in the light of recent experimental findings.
引用
收藏
页码:2185 / 2226
页数:42
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