title: Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron.
abstract: To understand information processing in neuronal circuits, it is important to infer how a sensory stimulus impacts on the synaptic input to a neuron. An increase in neuronal firing during the stimulation results from pure excitation or from a combination of excitation and inhibition. Here, we develop a method for estimating the rates of the excitatory and inhibitory synaptic inputs from a membrane voltage trace of a neuron. The method is based on a modified Ornstein-Uhlenbeck neuronal model, which aims to describe the stimulation effects on the synaptic input. The method is tested using a single-compartment neuron model with a realistic description of synaptic inputs, and it is applied to an intracellular voltage trace recorded from an auditory neuron in vivo. We find that the excitatory and inhibitory inputs increase during stimulation, suggesting that the acoustic stimuli are encoded by a combination of excitation and inhibition.
authors.affiliation: Principles of Informatics Research Division, National Institute of Informatics Tokyo, Japan ; Department of Informatics, SOKENDAI (The Graduate University for Advanced Studies) Tokyo, Japan.
authors.forename: Ryota
authors.initials: R
authors.lastname: Kobayashi
authors.affiliation: Department of Biomedical Sciences, City University of Hong Kong Hong Kong, China.
authors.forename: Jufang
authors.initials: J
authors.lastname: He
authors.affiliation: Institute of Physiology, The Czech Academy of Sciences Prague, Czech Republic.
authors.forename: Petr
authors.initials: P
authors.lastname: Lansky
keywords: auditory cortex; intracellular recordings; state-space models; statistical inference; synaptic inputs