Jacob Huth (PhD student)
My interests lie in the intersection of modeling and computation. Models of neural and cognitive processes are very important to verify hypotheses about real wold systems. Recurrent and dynamic processes like neural networks (even simulated by very simple spiking models) can give rise to self organization principles and adaptive behaviour, which can enable a sufficiently large assembly of simple units to do complex computations, classifications and predictions. Our understanding of how neural computation in actual biological systems is used and can be used is dependent on our understanding of computation on a theoretical level. To find theories that are both biologically plausible and explain sufficiently how and why the process adapts to a certain behaviour, a constant exchange is necessary.
In my current projects I am investigating the effect of aging on the human visual system by modeling a very simplified version of the early stages of visual processing and matching the behavior of the model to experimental data. The goal is to find the simplest explanatory variable that predicts a deterioration in cortical vision (correcting for optical and retinal differences). This variable will be then examined in further experiments.
Keywords: spiking neural models, visual processing, visual perception, visual aging.
Master of Science in Cognitive Science (University of Osnabrück) – Jan 2014
Bachelor of Science in Cognitive Science (University of Osnabrück) – Nov 2011
What is Cognitive Science? – A film accompanying the Handbuch Kognitionswissenschaft by Simon Harst, Ngan Tram Ho Dac, Jacob Huth, Jonas Klein, Alexander Krüger, Alexander Niedrig, Johannes Merkel, Danja Porada, Laura Schmitz, Sebastian Timmer
CV (pdf): [ download ]