From the statistics of connectivity to the statistics of spike times in neuronal networks

@article{Ocker2017FromTS,
  title={From the statistics of connectivity to the statistics of spike times in neuronal networks},
  author={Gabriel Koch Ocker and Yu Hu and Michael A. Buice and Brent Doiron and Kre{\vs}imir Josi{\'c} and Robert Rosenbaum and Eric Shea-Brown},
  journal={Current Opinion in Neurobiology},
  year={2017},
  volume={46},
  pages={109-119}
}
An essential step toward understanding neural circuits is linking their structure and their dynamics. In general, this relationship can be almost arbitrarily complex. Recent theoretical work has, however, begun to identify some broad principles underlying collective spiking activity in neural circuits. The first is that local features of network connectivity can be surprisingly effective in predicting global statistics of activity across a network. The second is that, for the important case of… 
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