Alireza Modirshanechi
EPFL IC IINFCOM LCN1
SV 2805 (Bâtiment SV)
Station 19
CH-1015 Lausanne
Web site: Web site: https://lcn.epfl.ch/
Fields of expertise
Computational Neuroscience
Reinforcement Learning
Statistical Learning and Bayesian Inference
Reinforcement Learning
Statistical Learning and Bayesian Inference
Biography
I am a 3rd year Ph.D. student in the Laboratory of Computational Neuroscience at EPFL, researching under the supervision of Prof. Wulfram Gerstner. I use statistical inference, information theory, and reinforcement learning to study the computational models of learning and decision making in the brain. I develop theoretical models and evaluate their predictions by analyzing behavioral and biological 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 Sharif University of Technology. 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 studying biomarkers of surprise in EEG signals, decoding surprise using these biomarkers, and 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.
Publications
Selected publications
| H.A. Xu*, A. Modirshanechi*, M.P. Lehmann, W. Gerstner, M.H. Herzog Preprint on bioRxiv: 311084, 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 NeuroImage, 2019 |
Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks |
| Full list of publications - |
Click here |