Explore optimal whole brain network models for personalized representations of neural activity Computational Neurology

Description

In this project we aim to create a personalized whole-brain neural mass model that can accurately predict neural activity in healthy individuals.

Prerequisites: Python programming, completed courses on computational neuroscienc

Literature: https://spj.science.org/doi/10.34133/hds.0157#sec-2

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