Hamid Karimi-Rouzbahani

Developing novel information decoding and tracking methods to study brain and cognition

The Brain is one of the most complicated information processing systems known. However, we have not yet fully discovered how the brain processes information and solves complicated cognitive problems. This project is aimed at enhancing state-of-the-art methodologies in neural data analysis. While great progress has been made in the past decades on developing methods for neural data analysis, the development of knowledge now allows us to develop methods which can provide unprecedented insights into the brain. This project works on two aspects of neural information processing including how neural activations reflect meaningful information and how those activations transfer information from one area of the brain to another indifferent tasks.

This project involves programming in different programming languages including PYTHON and MATLAB and analysing different modalities of neural data including electroencephalography (EEG), magnetoencephalography (MEG), functional Magnetic Resonance Imaging (fMRI), neurophysiology data and calcium imaging. These datasets will be collected either in the lab by the PhD student and/or obtained from publicly available sources. The project also uses stimulation devices such as Transcranial Magnetic Stimulation (TMS) to evaluate causal role of interference on human cognition.