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ANC Workshop: Daniel Trejo Banos/Dominika Lyzwa

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  • ANC Workshop Talk
When Dec 02, 2014
from 11:00 AM to 12:00 PM
Where Room IF 4.31/4.33
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Daniel Trejos Banos

 TITLE:   A Bayesian approach for structure learning in oscillating
regulatory networks


ABSTRACT:  Oscillations lie at the core of many biological processes,

from the cell cycle, to circadian oscillations and developmental

processes. Here, we explicitly leverage the oscillatory nature of

the transcriptional signals and present a method for reconstructing

network interactions tailored to this special but important class

of genetic circuits. Our method is based on projecting the

signal onto a set of oscillatory basis functions using a Discrete

Fourier Transform. We build a Bayesian Hierarchical model within

a frequency domain linear model in order to enforce sparsity

and incorporate prior knowledge about the network structure.


Dominika Lyzwa


TITLE: Nonlinear response properties in the central auditory midbrain


ABSTRACT: The central inferior colliculus (ICC) is the main converging

station in the auditory midbrain and crucial for processing of complex

sounds. Neurons in the inferior colliculus have been shown to display

either linear or both linear and nonlinear response preferences. We used

reverse correlation to probe linear and nonlinear preferences of single

neurons in response to an artificial sound. The spike-triggered average

and covariance were computed for the envelope of the complex artificial

sound, separately for each frequency carrier. We found that more than half

of the analysed neurons display significant nonlinear response properties

for at least one frequency carrier. The nonlinear preferences have either

the same or opposite temporal courses as the linear preferences.