Empirical Bayesian significance measure of neuronal spike response

@article{Oba2016EmpiricalBS,
  title={Empirical Bayesian significance measure of neuronal spike response},
  author={Shigeyuki Oba and Ken Nakae and Yuji Ikegaya and Shunsuke Aki and Junichiro Yoshimoto and Shin Ishii},
  journal={BMC Neuroscience},
  year={2016},
  volume={17},
  pages={1-21}
}
Functional connectivity analyses of multiple neurons provide a powerful bottom-up approach to reveal functions of local neuronal circuits by using simultaneous recording of neuronal activity. A statistical methodology, generalized linear modeling (GLM) of the spike response function, is one of the most promising methodologies to reduce false link discoveries arising from pseudo-correlation based on common inputs. Although recent advancement of fluorescent imaging techniques has increased the… CONTINUE READING