M. Hashim Satti

Doktorand

M.Hashim.Satti@maxplanckschools.de

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 R. Heekeren, Rasmus Bruckner und Peter Dayan
                         Lab-Rotationen in der Orientierungsphase: Peter Dayan, Christian F. Doeller und  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 Auszeichnungen

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

Publikationen

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 Biomedicine, 179, 104986. https://doi.org/10.1016/j.cmpb.2019.104986

Tariq, T., Satti, M. H., Saeed, M., & A. M. Kamboh, A. M. (2017). Low SNR neural spike detection using scaled energy operators for implantable brain circuits. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1074–1077. https://doi.org/10.1109/embc.2017.8037013

Posterpräsentationen und Vorträge

Satti, M., Cichy, R., Schuck, M., Dayan, P., & Bruckner, R. (2022, November). Effects of threat imminence on learning under uncertainty [Poster]. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, USA.

Foto: Anja Schneider