Other Publications (1)
Articles by Andrey Lazopulo in JoVE
A Computational Method to Quantify Fly Circadian Activity Andrey Lazopulo1, Sheyum Syed1 1Department of Physics, University of Miami A method to quantify the main temporal features seen in fly circadian locomotor rhythms is presented. The quantification is achieved by fitting fly activity with a multi-parametric model waveform. The model parameters describe the shape and size of the morning and evening peaks of daily activity.
Other articles by Andrey Lazopulo on PubMed
A Mathematical Model Provides Mechanistic Links to Temporal Patterns in Drosophila Daily Activity BMC Neuroscience. Apr, 2016 | Pubmed ID: 27090880 Circadian clocks are endogenous biochemical oscillators that control daily behavioral rhythms in all living organisms. In fruit fly, the circadian rhythms are typically studied using power spectra of multiday behavioral recordings. Despite decades of study, a quantitative understanding of the temporal shape of Drosophila locomotor rhythms is missing. Locomotor recordings have been used mostly to extract the period of the circadian clock, leaving these data-rich time series largely underutilized. The power spectra of Drosophila and mouse locomotion often show multiple peaks in addition to the expected at T ~ 24 h. Several theoretical and experimental studies have previously used these data to examine interactions between the circadian and other endogenous rhythms, in some cases, attributing peaks in the T