Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron

Ryota Kobayashi*, Jufang He, Petr Lansky

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Citations (Scopus)
48 Downloads (CityUHK Scholars)

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.
Original languageEnglish
Article number59
JournalFrontiers in Computational Neuroscience
Volume9
Online published18 May 2015
DOIs
Publication statusPublished - May 2015

Research Keywords

  • Auditory cortex
  • Intracellular recordings
  • State-space models
  • Statistical inference
  • Synaptic inputs

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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