Presynaptic spontaneous activity enhances the accuracy of latency coding

Marie Levakova, Massimiliano Tamborrino, Lubomir Kostal, Petr Lansky

Research output: Contribution to journalArticlepeer-review

Abstract

The time to the first spike after stimulus onset typically varies with the stimulation intensity. Experimental evidence suggests that neural systems use such response latency to encode information about the stimulus. We investigate the decoding accuracy of the latency code in relation to the level of noise in the form of presynaptic spontaneous activity. Paradoxically, the optimal performance is achieved at a nonzero level of noise and suprathreshold stimulus intensities. We argue that this phenomenon results from the influence of the spontaneous activity on the stabilization of the membrane potential in the absence of stimulation. The reported decoding accuracy improvement represents a novel manifestation of the noise-aided signal enhancement.
Original languageEnglish
Pages (from-to)2162-2180
Number of pages19
JournalNeural Computation
Volume28
Issue number10
DOIs
Publication statusPublished - Oct 2016

Fields of science

  • 101 Mathematics
  • 101014 Numerical mathematics
  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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