Create realistic neural mass models using Bayesian parameter optimization Computational Neurology

Description

We invite applications for a master's thesis for contributing to developing models of personalized transcranial magnetic stimulation (TMS) in neurodegenerative diseases (e.g., Alzheimer’s Disease). The project touches topics of probabilistic modelling, data analysis and optimization.

Following tasks will be performed:
•    Improvement of preliminary mathematical models
•    Development of model extensions
•    Analyses of models’ parameters and properties
•    Implementation of models in established and reputable state-of-the art toolboxes for parameter estimation and statistical inference

Prerequisites: Python programming, completed courses on computational neuroscience or on bioinformatics

The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210