معرفی
Dr. Amir Hossein Azizi is a PostDoc researcher at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr-Universität Bochum, specializing in computational models of hippocampal memory systems and neural replay mechanisms.
His academic background includes:
- M.Sc. in Physics from Institute for Advanced Studies in Basic Sciences (IASBS) focusing on primate visual memory representation
- Ph.D. from Ruhr-Universität Bochum investigating hippocampal sequential activity and grid-to-place cell transformations
Research centers on hippocampal computational principles, examining how exploration-driven learning shapes sequential neural activity and place field formation. His work integrates theoretical neuroscience with biologically plausible neural network modeling to decode memory encoding and spatial representation mechanisms, particularly emphasizing intrinsic factors governing neural plasticity in memory circuits.
Publication trends reveal consistent advancement in understanding memory replay phenomena since 2011, with recent work (2023) linking working memory capacity to stimulus complexity. His research bridges hippocampal electrophysiology with computational theory, demonstrating robustness in spatial coding systems and category representation across species.
Dr. Azizi actively mentors students through thesis supervision:
- J. Sowade (Master's, 2019 - Network oscillations)
- O. Hakobyan (Master's, 2016 - Sequential activity propagation)
- S. Klatt (Bachelor's, 2016 - Visual category representation)
- D. Ogiermann (Bachelor's, 2016 - Depression modeling)
As core INI faculty, he collaborates within RUB's multidisciplinary cognitive science ecosystem combining neurophysiology, machine learning, and robotics to investigate natural and artificial cognitive architectures.
