C
Claire Guerrier
Researcher at University of British Columbia
Publications - 13
Citations - 175
Claire Guerrier is an academic researcher from University of British Columbia. The author has contributed to research in topics: Brownian motion & Biological neural network. The author has an hindex of 7, co-authored 11 publications receiving 141 citations. Previous affiliations of Claire Guerrier include French Institute of Health and Medical Research & École Normale Supérieure.
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Robust network oscillations during mammalian respiratory rhythm generation driven by synaptic dynamics
TL;DR: A simulation model is developed to show that a synaptic depression/facilitation mechanism sufficient for neurons to generate network rhythms, without the need for intrinsically rhythmic neurons is shown, which may play an important role in generating the rhythm for breathing and other coordinated motor activities in mammals.
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Asymptotics of extreme statistics of escape time in 1,2 and 3-dimensional diffusions
TL;DR: In this paper, asymptotic laws for the probability density function of the first and second arrival times of a large number of i.i.d. trajectories to a small target in 1, 2, and 3 dimensions were derived.
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The First 100 nm Inside the Pre-synaptic Terminal Where Calcium Diffusion Triggers Vesicular Release
Claire Guerrier,David Holcman +1 more
TL;DR: Three-dimensional modeling approaches and the associated coarse-grained simulations can now account efficiently for the precise co-organization of vesicles and Voltage-Gated-Calcium-Channel (VGCC), which is a key determinant of short-term plasticity and it shapes asynchronous release.
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Hybrid Markov-mass action law model for cell activation by rare binding events: Application to calcium induced vesicular release at neuronal synapses
TL;DR: A hybrid discrete-continuum model that takes into account a stochastic regime governed by rare events and a continuous regime in the bulk to predict the time distribution of vesicular release at neuronal synapses is presented.
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Multiscale models and stochastic simulation methods for computing rare but key binding events in cell biology
Claire Guerrier,David Holcman +1 more
TL;DR: Two reduced modeling approaches for a fast computation of diffusing fluxes in microdomains based on a Markov mass-action law equations coupled to a Markovo chain and a Gillespie's method based on the narrow escape theory for coarse-graining the geometry of the domain into Poissonian rates are presented.