Statistical structure of the trial-to-trial timing variability in synfire chains
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Dina Obeid, Jacob Zavatone-Veth, Cengiz Pehlevan
2020
Abstract
Timing and its variability are critical for behavior. Consequently, neural circuits that take part in the control of timing and in the measurement of temporal intervals have been the subject of much research. Here, we provide an analytical and computational account of the temporal variability in what is perhaps the simplest model of a timing circuit, the synfire chain. We elucidate the statistical structure of its trial-to-trial timing variability and show that it is well-described by a statistical model which consists of local, global, and jitter components. We relate each of these components to distinct biological mechanisms. A synfire chain architecture is thought to underlie the circuit that takes part in the control and timing of zebra finch song; we find that the structure of trial-to-trial timing variability in the synfire chain is consistent with experimental observations of the song's temporal variability. Our study therefore provides a neuronal account of behavioral variability in zebra finches.
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Date 2020-03-24
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