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. Author manuscript; available in PMC: 2016 Jan 30.
Published in final edited form as: J Neurosci Methods. 2014 Dec 3;240:179–192. doi: 10.1016/j.jneumeth.2014.11.013

Fig. 6.

Fig. 6

Results for correlated point-process inputs. (A) Representative interval of correlated input x[t] (above) and autocorrelation of x[t] (below). (B) Ground truth and estimated 1st order kernels. Note that the naive PBV kernel fails to detect peak in the first bin. (C) Estimated ground truth and 2nd order kernels. (D) ROC plots of estimated models. Note that correction PBV kernels were able to achieve significant improvement over naive PBV kernels.