Mahan Hosseini

Dr. Mahan Hosseini

Postdoctoral Researcher

Areas of expertise

Cross-Species Motor Control, Computational Neuroscience, Machine Learning, Multimodal Analysis

Contact

+49 2461/61-85151

E-Mail

Orcid

GitHub

Address

Forschungszentrum Jülich GmbH
Wilhelm-Johnen-Straße
52428 Jülich

Institute of Neurosciences and Medicine (INM)

Cognitive Neuroscience (INM-3)

Building 05.7 / Room 3014

Motor control across species and modalities: dissolving the boundaries between data streams.

My research aims to build a unified, cross-species science of motor control in health and disease. I develop open-source tools that replace labour-intensive manual analysis, which are often limited to specific species or experiments, with fast, standardised quantification of movement: AutoGaitA, which automates kinematic analyses of body coordinate time series and revealed that fly, mouse and human gait are similarly affected by ageing, and AutoSegmentA, which uses machine learning to segment coordinate data into behavioural episodes such as steps.

Alongside this, I am collecting and investigating a multimodal dataset (behaviour, EEG, finger kinematics) on how the brain corrects reaching movements in real time, establishing a baseline in healthy subjects that will be compared with stroke and tic disorder patients as well as monkeys.

Publications
Last Modified: 17.09.2026