Switch of encoding characteristics in single neurons by subthreshold and suprathreshold stimuli

Toshiaki Omori, Toru Aonishi, Masato Okada

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Spike-triggered analysis is a statistical method used to elucidate encoding properties in neural systems by estimating the statistical structure of input stimulus preceding spikes. A recent numerical study suggested that the profile of the spike-triggered average (STA) changes depending on whether the mean input stimuli are subthreshold or suprathreshold. Here we analytically verify the difference between subthreshold STA and suprathreshold STA by using the spike response model (SRM). We show by moment expansion that the suprathreshold STA is proportional to the first derivative of the response kernel, and that the subthreshold STA is expressed by a linear combination of the response kernel and its first derivative. We verify whether the analytical results obtained from the SRM can be applied to a multicompartment model with Hodgkin-Huxley type dynamics.

Original languageEnglish
Article number021901
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume81
Issue number2
DOIs
Publication statusPublished - 2010 Feb 1

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Switch of encoding characteristics in single neurons by subthreshold and suprathreshold stimuli'. Together they form a unique fingerprint.

Cite this