Noise may enhance the efficacy of latency coding

  • Massimiliano Tamborrino (Speaker)

Activity: Talk or presentationContributed talkunknown

Description

In neuroscience, stochastic processes and their hitting times are used to describe the membrane potential dynamics of single neurons and to reproduce neuronal spikes, respectively. The time to the first spike after the stimulus onset typically varies with the stimulation intensity. Experimental evidence suggests that neural systems use such response latency to encode information about the stimulus. Our aim is to understand what are the ultimate limits on the accuracy of stimulus decoding based on the first-spike latency in presence of background noise, modeled by spontaneous activity. Paradoxically, the optimal performance is achieved at a non-zero level of noise. Therefore, noise may enhance signal transmission even in a setting as simple as the Brownian motion. The reported decoding accuracy improvement represents a novel manifestation of the noise-aided signal enhancement.
Period01 Aug 2016
Event title5th Austrian Stochastics Days
Event typeConference
LocationAustriaShow on map

Fields of science

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

JKU Focus areas

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