Arij Daou
American University of Beirut
17 Papers
106 Citations
Arij Daou is an academic researcher from American University of Beirut. The author has contributed to research in topics: Zebra finch & Vocal learning. The author has an hindex of 10, co-authored 17 publications. Previous affiliations of Arij Daou include Florida State University & University of Chicago.
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Papers
Synchronization of mouse islets of Langerhans by glucose waveforms
TL;DR: Investigation of the ability of imposed glucose waveforms to synchronize a population of islets indicated that an oscillatory glucose level synchronized the activity of a heterogeneous islet population, serving as preliminary evidence that islets could be synchronized in vivo throughscillatory glucose levels produced by a liver-pancreas feedback loop.
Development of Microplatforms to Mimic the In Vivo Architecture of CNS and PNS Physiology and Their Diseases
TL;DR: Nervous tissue microplatforms provide a powerful tool that is destined to provide a better understanding of neural health and disease and are highlighted with interdisciplinary efforts to achieve a higher degree of biomimicry.
Two neural streams, one voice: Pathways for theme and variation in the songbird brain
TL;DR: In this article, the authors focus on the central control of birdsong and review the recent discovery that zebra finch song is under dual premotor control, which raises new questions about mechanisms of sensory-motor integration, and also provide a fascinating new research opportunity.
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Neuroscience forefront review two neural streams, one voice: pathways for theme and variation in the songbird brain
Richard Bertram,Arij Daou,Richard L. Hyson,Frank Johnson,Wei Wu +4 more
- 01 Jan 2014
TL;DR: This work focuses on the central control of birdsong and review the recent discovery that zebra finch song is under dual premotor control, meaning that anatomical, physiological, and computational approaches are poised to reveal the neural mechanisms used by the brain to compose the songs of birds.
Estimating the biophysical properties of neurons with intracellular calcium dynamics.
TL;DR: It is shown that observing both the voltage time course V(t) and the intracellular Ca time course will permit accurate estimation, and from the estimated model state, accurate prediction after observations are completed, setting the stage for how one will be able to use a more detailed model of V+Ca dynamics in neuron activity in the analysis of experimental data on individual neurons as well as functional networks in which the nodes have these biophysical properties.
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