معرفی
Dr. Thomas Hartmann is a Senior Scientist at the Centre for Cognitive Neuroscience (CCNS), Department of Psychology, Faculty of Natural and Life Sciences, University of Salzburg. His research focuses on cognitive neuroscience, auditory perception, and electrophysiological methods (M/EEG), particularly in the context of tinnitus and cochlear implants. He leads the Salzburg Brain Dynamics Lab and is a key contributor to open-source neuroscience software development.
- PhD in Psychology, University of Konstanz (2006–2012)
- Diploma in Psychology, University of Konstanz (2001–2006)
His primary research interests include auditory perception, neural oscillations, neurofeedback, cognitive neuroscience, and psychophysics. He investigates how the brain processes sound, especially under conditions of hearing impairment, and develops computational tools to improve experimental rigor and reproducibility.
Dr. Hartmann’s recent publications demonstrate a strong trend in multisensory integration, neural speech tracking, attention modulation, and open-source methodological development. His work often combines EEG/MEG with behavioral paradigms to uncover the neural mechanisms of perception and attention. A major contribution is the Objective Psychophysics Toolbox (o_ptb), which enhances experimental design in MATLAB by abstracting hardware complexity.
- Active contributor to open-source neuroscience tools
- Focus on reproducible and robust experimental paradigms
- Collaborative research with leading institutions in Europe
He has co-authored numerous peer-reviewed studies in journals such as Frontiers in Psychology, NeuroImage, and Cortex, and has been involved in research on tinnitus, cochlear implants, and neural correlates of attention. Although no direct students are listed, his role as a senior scientist and publication mentor suggests advisory responsibilities.
He is affiliated with the Salzburg Brain Dynamics Lab, where his team conducts cutting-edge research on brain dynamics using advanced electrophysiological techniques and computational modeling.
