Fast, automated implementation of temporally precise blind deconvolution of multiphasic excitatory postsynaptic currents.

ABSTRACT: Records of excitatory postsynaptic currents (EPSCs) are often complex, with overlapping signals that display a large range of amplitudes. Statistical analysis of the kinetics and amplitudes of such complex EPSCs is nonetheless essential to the understanding of transmitter release. We therefore developed a maximum-likelihood blind deconvolution algorithm to detect exocytotic events in complex EPSC records. The algorithm is capable of characterizing the kinetics of the prototypical EPSC as well as delineating individual release events at higher temporal resolution than other extant methods. The approach also accommodates data with low signal-to-noise ratios and those with substantial overlaps between events. We demonstrated the algorithm's efficacy on paired whole-cell electrode recordings a

SUBMITTER: Andor-Ardo D 

PROVIDER: S-EPMC3383690 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature