I am a Ph.D. candidate in Computational Cognitive Neuroscience in VCCN Lab at Justus Liebig University Giessen. My research focuses on visual perception and computational models of vision. I am particularly interested in investigating how artificial neural networks exhibit human-like biases and visual phenomena. To explore these questions, I integrate behavioral and neuroimaging data with computational modeling to examine how such phenomena emerge and how they vary across different model architectures and training dynamics.

Publications

Distinct Computational Mechanisms Underlie Holistic Processing of Faces and Non-Face Line Patterns CCN 2025
face perception, deep convolutional neural networks, holistic processing
Diverse Visual Experience Promotes Integrated Representations and Mitigates Bias in Deep Neural Networks for Face Perception
face perception, perceptual biases, other-race effect, deep convolutional neural networks
Active vision is tuned to representational distinctiveness in the individual brain
individual differences, representational distinctiveness, fMRI
Functional parcellation of the human face-selective areas: a resting-state connectivity homogeneity analysis
face perception, brain connectivity, resting-state fMRI

Ongoing Projects

From Network Representations to Human Perception: Deriving Novel Holistic Stimulus Categories from CNN Representations
Structural Brain Correlates of Individual Visual Biases Toward Faces or Text

Education

Ph.D. in Computational Cognitive Neuroscience,
Justus Liebig University Giessen · 2023–Present
Internship at Group for Neural Theory
École Normale Supérieure · 2022
M.Sc. in Cognitive Neuroscience
Sapienza University of Rome· 2019–2021
B.Sc. in Chemical Engineering
Polytechnic of Tehran· 2010–2014