M. Hashim Satti

M. Hashim Satti

Doktorand
Forschungsinteressen: • cognitive and computational basis of decision making • neural correlates of action selection • neural signal processing • mathematical modelling • neural population encoding

 

Akademischer Werdegang

seit 2020        Doktorand, Max Planck School of Cognition, Leipzig
                         Promotionsarbeit an der Freien Universität Berlin
                         Betreuer: Hauke Heekeren

2018–2019    Master of Science in Cognitive and Computational Neuroscience, The University of Sheffield, UK

2013–2017    Bachelor of Electrical Engineering, National University of Sciences and Technology (NUST), Pakistan

 

Wissenschaftliche Preise

2019               David Marr Prize, The University of Sheffield, UK
2014–2017   Merit-based scholarship, NUST, Pakistan

 

Publikation

Tariq, T., Satti, M., Kamboh, H., Saeed, M., & Kamboh, A. (2019). Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits. Computer Methods and Programs in Biomedicine179:104986. doi:10.1016/j.cmpb.2019.104986

 

Posterpräsentationen und Vorträge

Tariq, T., Satti, M., Saeed, M., & Kamboh, A. (2017). Low SNR neural spike detection using scaled energy operators for implantable brain circuits. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea. doi: 10.1109/embc.2017.8037013

 

 

Foto: Anja Schneider

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