Maryam Karimian
Photo: SCIoI
Maryam Karimian is a computational neuroscientist interested in cognitive neuroscience, neural plasticity, brain oscillations, and visual perception.
She joined SCIoI in November 2022 to work as a postdoctoral researcher.
Maryam received her doctoral degree in Cognitive Computational Neuroscience from Maastricht University, the Netherlands. She holds bachelor’s and master’s degrees in Physics from Isfahan University of Technology, Iran. During her PhD, she developed models of synaptic and myelin plasticity in large- and meso-scale abstract neural networks. Her previous research also investigated the potential role of brain oscillations, particularly in the gamma frequency range, and their synchronization across neural networks in visual perception and perceptual learning. She combined mean-field oscillatory modelling approaches with psychophysical experiments.
At SCIoI, she currently works on Project 42.
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Karimian, M., Reeh, F., Daneshi, A., Brass, M., & Romanczuk, P. (2025). Behavioural Contagion in Human and Artificial Multi-agent Systems: A Computational Modeling Approach. In O. Brock & J. Krichmar (Eds.), From Animals to Animats 17 (pp. 145–156). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71533-4_11
Karimian, M., & Romanczuk, P. (2024). Predicting the Dynamics of Behavioral Contagion in Human Groups with an Increment Drift-Diffusion Model [Poster]. DPG Spring Meeting.
Karimian, M., Reeh, F., & Romanczuk, P. (2024). Behavioural Contagion in Human and Artificial Multi-Agent Systems: A Computational Modeling Perspective. Conference on Complex Systems: CCS’24.
Karimian, M., Reeh, F., & Romanczuk, P. (2023). Predicting the Dynamics of Behavioral Contagion in Human Groups: A Computational Modeling Perspective [Poster]. Bernstein Conference.
Distinguished Poster Prize (DPG), Maryam Karimian (2026). More information
