Maryam Karimian
Photo: SCIoI
Maryam Karimian received her doctoral degree in cognitive computational neuroscience at Maastricht University, the Netherlands. She has a bachelor’s and master’s degree in Physics from Isfahan University of Technology, Iran. During her PhD, Maryam developed models of synaptic and myelin plasticity in large/meso-scale abstract neural networks. In addition, she investigated the potential function of brain oscillations (specifically in Gamma frequency range) and their synchronization among neural networks of lower-level cortical areas in perception and perceptual learning of visual figure-ground segregation. To perform this study, she conducted mean field oscillatory modelling approaches and psychophysics experimentation.
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Karimian, M., Reeh, F., Daneshi, A., Brass, M., & Romanczuk, P. (2024). Behavioural Contagion in Human and Artificial Multi-agent Systems: A Computational Modeling Approach. From Animals to Animats 17. SAB 2024, 145–156. https://doi.org/10.1007/978-3-031-71533-4_11
Karimian, M., Reeh, F., & Romanczuk, P. (2024). Behavioural Contagion in Human and Artificial Multi-Agent Systems: A Computational Modeling Perspective. Conference on Complex Systems 2024: CCS’24 Exeter London.
Karimian, M., & Romanczuk, P. (2024). Predicting the Dynamics of Behavioral Contagion in Human Groups with an Increment Drift-Diffusion Model. DPG Spring Meeting 2024.
Karimian, M., Reeh, F., & Romanczuk, P. (2023). Predicting the Dynamics of Behavioral Contagion in Human Groups: A Computational Modeling Perspective. Bernstein Conference 2023.
