Publication details

Effect of spontaneous activity on stimulus detection in a simple neuronal model

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Year of publication 2016
Type Article in Periodical
Magazine / Source Mathematical Biosciences and Engineering
MU Faculty or unit

Faculty of Science

Field Applied statistics, operation research
Keywords Fisher information; latency coding; spontaneous activity; renewal process; neuroscience
Description It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. When a spontaneous neuronal activity is present, the first spike after the stimulus onset may be caused either by the stimulus itself, or it may be a result of the prevailing spontaneous activity. Under certain regularity conditions, Fisher information is the inverse of the variance of the best estimator. It can be considered as a function of the signal intensity and then indicates accuracy of the estimation for each signal level. The Fisher information is normalized with respect to the time needed to obtain an observation. The accuracy of signal level estimation is investigated in basic discharge patterns modelled by a Poisson and a renewal process and the impact of the complex interaction between spontaneous activity and a delay of the response is shown.
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