AUTHOR=Stepanyuk Andrey , Borisyuk Anya , Belan Pavel TITLE=Maximum likelihood estimation of biophysical parameters of synaptic receptors from macroscopic currents JOURNAL=Frontiers in Cellular Neuroscience VOLUME=8 YEAR=2014 URL=https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2014.00303 DOI=10.3389/fncel.2014.00303 ISSN=1662-5102 ABSTRACT=

Dendritic integration and neuronal firing patterns strongly depend on biophysical properties of synaptic ligand-gated channels. However, precise estimation of biophysical parameters of these channels in their intrinsic environment is complicated and still unresolved problem. Here we describe a novel method based on a maximum likelihood approach that allows to estimate not only the unitary current of synaptic receptor channels but also their multiple conductance levels, kinetic constants, the number of receptors bound with a neurotransmitter, and the peak open probability from experimentally feasible number of postsynaptic currents. The new method also improves the accuracy of evaluation of unitary current as compared to the peak-scaled non-stationary fluctuation analysis, leading to a possibility to precisely estimate this important parameter from a few postsynaptic currents recorded in steady-state conditions. Estimation of unitary current with this method is robust even if postsynaptic currents are generated by receptors having different kinetic parameters, the case when peak-scaled non-stationary fluctuation analysis is not applicable. Thus, with the new method, routinely recorded postsynaptic currents could be used to study the properties of synaptic receptors in their native biochemical environment.