Dr. Amir Hossein Azizi

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room NB 3/70
D-44801 Bochum
Computational Neuroscience



As a PostDoc researcher, I focus on the learning mechanisms that leads to enhanced replay sequential activity of an exploration and intrinsic factors determining the actual place field sizes in the hippocampus.



I completed my M.Sc. degree in Physics at the IASBS (Institute for Advanced Studies in Basic Sciences). My thesis research was mainly focused on visual memory representation in the primate visual system. As a PhD student in the Ruhr-university Bochum (RUB), I studied the network structures capable of generating intrinsic sequential activities in the hippocapus, and the robustness of the transformation from grid cells to place cells.

Neher, T., Azizi, A. H., & Cheng, S.. (2017). From grid cells to place cells with realistic field sizes. PLoS ONE, 12(7), e0181618. http://doi.org/10.1371/JOURNAL.PONE.0181618
Azizi, A. H., Schieferstein, N., & Cheng, S.. (2014). The transformation from grid cells to place cells is robust to noise in the grid pattern. Hippocampus, 24(8), 912–919. http://doi.org/10.1002/hipo.22306
Azizi, A. H., Wiskott, L., & Cheng, S.. (2013). A computational model for preplay in the hippocampus. Frontiers in Computational Neuroscience, 7, 161. http://doi.org/10.3389/fncom.2013.00161
Buhry, L., Azizi, A. H., & Cheng, S.. (2011). Reactivation, Replay, and Preplay: How It Might All Fit Together. Neural Plasticity, 2011, 1–11. http://doi.org/10.1155/2011/203462
Winter Term 2017/2018
SeminarsThe Neural Basis of Vision
Summer Term 2017
LecturesDynamical Systems in Neuroscience