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ANC Workshop: Matthias Hennig and Michalis Michaelides, Chair: Douglas Armstrong

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  • ANC Workshop Talk
When Jun 20, 2017
from 11:00 AM to 12:00 PM
Where IF 4.31/4.33
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Matthias Hennig


Neural encoding of sensory stimuli through latent variables


I will give a summary of ongoing work with Martino Sorbaro and Michael Rule investigating statistical properties of optimal encoding strategies with neurons. Using restricted Boltzmann machines, we show that it is possible to numerically identify the number of required latent factors, and that marginal statistics obtained from these models match those observed in the light-stimulated retina.


Michalis Michaelides


Statistical abstraction for multi-scale spatio-temporal systems


Michalis Michaelides, Jane Hillston, and Guido Sanguinetti.


Spatio-temporal systems exhibiting multi-scale behaviour are
common in applications ranging from cyber-physical systems to systems
biology, yet they present formidable challenges for computational mod-
elling and analysis. Here we consider a prototypic scenario where spa-
tially distributed agents decide their movement based on external inputs
and a fast-equilibrating internal computation. We propose a generally
applicable strategy based on statistically abstracting the internal system
using Gaussian Processes. On an example of bacterial
chemotaxis, we show that this approach leads to accurate and
much faster simulations in a variety of scenarios.