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I am basically interested in studying pathological brain states and carefully manipulating them to develop novel therapeutics. I do so using biophysically realistic computational modeling and collaborating with experimental researchers. My long-term goal is to study how network activity and oscillations are altered in neurological disorders and develop novel strategies for neuroprotection. In particular, I would like to focus on the hippocampus, a region closely connected with memory and cognition and known for its involvement in numerous brain disorders. My research work would greatly help uncover the brain mechanisms of behavior and how these mechanisms become abnormal in neurodegenerative diseases.

I would approach my research question by starting with EEG, ECOG, and LFP brain oscillations.  With the help of EEG, ECOG, and LFP, I would like to understand the mechanisms of various oscillations and oscillatory coupling (phase amplitude and phase-phase coupling) in functional and dysfunctional brain states. My ultimate goal is to provide a useful software tool to researchers and clinicians to identify aberrant brain mechanisms based on patient electrical data (EEG/ECOG). This would mean we can use the brain electrical data (EEG/ECOG) as a proxy for what happens inside a normal and abnormal brain.


My other research interests include the identification of novel oscillatory biomarkers of post-traumatic epilepsy using EEG and LFP signals of brain-injured rats and the application of machine learning algorithms for the automatization of parameter search in network models. 


EEG - Electroencephalography, ECOG - Electrocorticography, LFP - Local field potential, TBI - Traumatic Brain Injury

Past research projects

Computational modeling of network activity in the cerebellum (



Effect of alcohol on cerebellar network activity



Computational modeling of brain pathologies



Modeling of neurons in the retrosplenial cortex


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