Fields of expertise
Statistical Learning and Bayesian Inference
BiographyI am a computer science Ph.D. student in the Laboratory of Computational Neuroscience at EPFL where I work on computational models of learning and decision-making in the brain - under the supervision of Prof. Wulfram Gerstner. My main track of research focuses on (i) mathematical definitions of surprise and novelty, (ii) their influence on human behavior, and (iii) their manifestation in physiological measurements. I use statistical inference, information theory, and reinforcement learning to develop theoretical models which I test against behavioral and physiological data. I have worked with EEG, MEG, fMRI, and single neuron recordings.
Prior to joining EPFL, I received my B.Sc. in Electrical Engineering from the Sharif University of Technology, Tehran. During the last two years of my study, I did a few research projects in the Augmented Intelligence Research Lab (AIR Lab) under the supervision of Prof. Hamid Aghajan. My projects were mainly on (i) studying biomarkers of surprise in EEG signals, (ii) decoding surprise using these biomarkers, and (iii) fMRI-based classification of visual and auditory stimuli.
You can find my random scientific notes and educational articles here in my Medium account, and more information about me on my personal website.
|A. Modirshanechi, J. Brea, W. Gerstner
Preprint on bioRxiv, 2021
|Surprise: a unified theory and experimental predictions|
|H.A. Xu*, A. Modirshanechi*, M.P. Lehmann, W. Gerstner, M.H. Herzog
PLoS Computational Biology, 2021
|Novelty is not Surprise: Human exploratory and adaptive behavior in sequential decision-making|
|V. Liakoni*, A. Modirshanechi*, W. Gerstner, J. Brea
Neural Computation, 2021
|Learning in Volatile Environments with the Bayes Factor Surprise|
|A. Modirshanechi, M.M. Kiani, H. Aghajan
|Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks|
|Full list of publications
|Posts on Medium