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Journal Articles
- 2022
[j4]Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti
, Wulfram Gerstner, Kerstin Preuschoff:
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage 246: 118780 (2022)- 2021
- [j3]Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. 33(2): 269-340 (2021) - [j2]He A. Xu, Alireza Modirshanechi, Marco P. Lehmann, Wulfram Gerstner, Michael H. Herzog:
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. PLoS Comput. Biol. 17(6) (2021) - 2019
- [j1]Alireza Modirshanechi, Mohammad Mahdi Kiani, Hamid Aghajan:
Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks. NeuroImage 196: 302-317 (2019)
Conference and Workshop Papers
- 2021
- [c2]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS 2021: 18552-18563 - 2017
- [c1]Parnian Kassraie, Alireza Modirshanechi, Hamid K. Aghajan:
Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls. DATA 2017: 363-370
Informal and Other Publications
- 2021
- [i2]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR abs/2106.10064 (2021) - 2019
- [i1]Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
An Approximate Bayesian Approach to Surprise-Based Learning. CoRR abs/1907.02936 (2019)
Coauthor Index
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