. Author manuscript; available in PMC: 2009 Mar 15.

Published in final edited form as: J Neurosci Methods. 2007 Oct 23;168(2):500–513. doi: 10.1016/j.jneumeth.2007.10.006

Table 4.

Inputs and outputs of the deconvolution procedure.

Inputs and outputs	Example (presented at the Fig. 6)
Inputs
The measure of size: amplitudes or integrated signals	Integrated signals
A source of EPSCs	A file containing 300 sweeps recorded at 0.5 Hz stimulation frequency from the mouse nmj (2 mM Ca²⁺)
A source of quanta	Asynchronous mEPSPs collected from the same recording
Number of bins in the distribution of quantal sizes	8
Ridge regression coefficient	0.03
Outputs
Qunatal counts, their expected frequencies with the confidence intervals	Fig. 6 D
Restored distribution of EPSC sizes	Fig. 6 E
Fit between the restored and original distributions of EPSC sizes	χ²=23.5, P<0.95
Optimized binomial and Poissonian distributions	Fig. 6 F
Goodness of fit for the Poissonian model	χ²=66.4
Goodness of fit for the binomial model	χ²=8.4, P<0.9
Binomial parameters	p=0.57, n=9