Neda Meibodi

Neda Meibodi is a researcher at the Faculty of Psychology of Philipps University Marburg. Her work focuses on computational modeling of visual attention, integrating cognitive psychology and machine learning methodologies.

• Key Research Areas: Cognitive Psychology, Computational Modeling, Visual Attention, Bayesian Statistics, Machine Learning, Neuroscience

Her recent publications (2021–2024) explore attention mechanisms, sensorimotor processes, and the influence of selection history and reward on task performance. These studies employ behavioral data, Bayesian modeling, and machine learning frameworks to analyze cognitive decision-making and attention allocation.

Meibodi collaborates with Prof. Dr. Dominik Endres and Prof. Dr. Alexander Schütz in the interdisciplinary project C6: Perception of Modular Movement Primitives, which examines cognitive and sensorimotor foundations of attention.