Computational Neuroscience Group
People
Research
Publications Computer Vision Neuroscience Robotics
Teaching
Courses Thesis Neuroinformatics Hinweise für Praktika, Theses und Module Advice on scientific writing SoSe 2023 - Comp. Neuroscience Basics E-Teaching WiSe 2023/24 - Introduction to Computer Vision & Robotics
Datasets
Amos Gait Optimization Cut & Recombine MANIAC Dataset Ontology of Manipulation Actions Optimal Control Primitives Path Planning Using Deep Learning Quadcopter Scene250 Simsea Dataset
Projects
ACAT - Learning and Execution of Action Categories ADOPD ADSYNX - Adaptive Control Method for Signal Synchronization IMAGINE Plan4Act Robotics in the 21st century Second Sino-German Symposium on Biomimetics Tetzlaff Research Group Webinar Series
Contact

List of current students

Computational Neuroscience

Name Topic Supervisor Room Start Submission Pursued degree
Becker, Moritz Network consolidation during sleep in a spiking neuronal network Christian Tetzlaff F.01.136 4/2017 Master
Krüppel, Steffen Synaptic and intrinsic plasticity in sensory processing Christian Tetzlaff F.01.146 9/2017 Master
Michaelis, Carlo A MCMC approach for self-organizing recurrent neural networks (SORN) Daniel Miner F.01.146 8/2017 31/01/2018 Master
Pflüger, Daniel Storing patterns in a neuronal network with two phases of synaptic plasticity Jannik Luboeinski F.01.136 10/2017 Bachelor
Shibata, Mina-Lilly Cortical columns Christian Tetzlaff F.01.136 12/2017 Master
Shishkin, Stepan Neuronal assembly formation by interaction of structural and synaptic plasticity Michael Fauth F.01.146 8/2017 11/04/2018 Master
Weigang, Benjamin Sequence learning with neural networks Christian Tetzlaff F.01.136 11/2017 Master

Robotics / Computer Vision

Name Topic Supervisor Room Start Submission Pursued degree
Belov, Vladimir One-shot Semantic Segmentation Timo Lüddecke E.01.113 5/2017 Master
Dönges, Philipp n/a Simon Reich E.01.113 3/2017 Master
Grinke, Eduard Rendering using Generative Adversarial Networks Timo / Minija F.01.136 5/2016 Master
Hemmen, Laurenz Self-supervised learning Timo Lüddecke E.01.113 11/2017 Master
Jentschke, Thomas Breast Segmentation from MRI Tanya Ivanovska - 2/2017 12/2017 Bachelor
Kiefhaber, Simon Domain Adaptation for Semantic Segmentation Timo Lüddecke E.01.113 11/2017 Bachelor
Klampt, Sebastian Sketch Generation / Classification Tanya Ivanovska E.01.103 11/2017 Master
Klingner, Marvin Generative adversarial networks Minija Tamosiunaite E.01.113 10/2017 Master
Mailänder, Peter Optimising running patterns of a hexapod Tomas Kulvicius E.01.104 11/2017 Bachelor
Mehrtens, Hendrik Domain Adaptation for Semantic Segmentation Timo Lüddecke E.01.113 11/2017 Bachelor
Schmalstieg, Fabian Context in Semantic Segmentation Timo Lüddecke E.01.113 11/2017 Bachelor
Schultheis, Erik Deep reinforcement learning on quadcopter Simon Reich E.01.113 3/2017 Master
Seer, Maurice Visual odometry for UAVs Simon Reich E.01.113 6/2016 Master
Titov, Maxim Learning Affordance Segmentation Tanya Ivanovska E.01.113 11/2017 Bachelor
Vorwerk, Kevin Embedded SLAM Simon Reich E.01.113 11/2017 Bachelor

Completed

Name Topic Supervisor Submission Degree
Dietrich, Philipp Trachea Segmentation from MRI Tanya Ivanovska 9/2017 Bachelor
Holzhütter, Clara Semantic Segmentation of Attributes Timo Lüddecke 10/2017 Bachelor
Voigt, Sven Improving LCCP Through Better Initializations of VCCS Timo Lüddecke 10/2016 Bachelor
Warnecke, Alexander Physics using Neural Networks Timo Lüddecke 6/2017 Master
Zenker, Stefan Comparison of Pose Estimation Systems Tanya Ivanovska 9/2017 Master
Computational Neuroscience Group