My research interests include adaptive decision making, aversive learning under uncertainty and action selection. In my doctoral project, I am working to understand how anxiety effects learning and decision making, especially when individuals are faced with uncertainty and varying levels of threat. This project is being supervised by Rasmus Bruckner, Hauke Heekeren and Peter Dayan. In my previous projects, I have worked on identification and classification of Arkypallidal neurons in the basal ganglia, which are implicated in the action selection and response inhibition. I have also worked on developing efficient methods for automatic detection and sorting of neural spikes.

Tariq, T., Satti, M. H., Kamboh, H. M., Saeed, M., & Kamboh, A. M. (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. <PDF>

Tariq, T., Satti, M. H., Saeed, M., and Kamboh, A. M. (2017). Low SNR neural spike detection using scaled energy operators for implantable brain circuits. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). <PDF>