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. Author manuscript; available in PMC: 2013 Nov 15.
Published in final edited form as: J Neurosci Methods. 2012 Sep 5;211(2):245–264. doi: 10.1016/j.jneumeth.2012.08.009

Table 1.

History Dependence Parameter Estimates. Note that both the GLM PSTH and SSGLM methods estimate the same parameters but SSGLM yields estimates with a smaller standard error. This is likely due to more stringent convergence criteria for the SSGLM algorithm (i.e. given additional iterations the GLM PSTH estimates would also yield estimates with smaller standard errors).

History
Coefficient		 Actual GLM PSTH Estimates
(mean±se)		 SSGLM Estimates
(mean±se)
γ1 −4 −3.4047 ± 0.2671 −3.4047 ± 0.0024
γ2 −1 −0.9044 ± 0.0734 −0.9044 ± 0.0085
γ2 −0.5 −0.3568 ± 0.0643 −0.3568 ± 0.0094