Alireza Modirshanechi

According to our database, Alireza Modirshanechi authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Centaur: a foundation model of human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert Wilson, Kristin Witte, Shuchen Wu, Dirk Wulff, Huadong Xiong, Eric Schulz

CoRR, 2024

2022

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making.

Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff

NeuroImage, 2022

2021

Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making.

He A. Xu, Alireza Modirshanechi, Marco P. Lehmann, Wulfram Gerstner, Michael H. Herzog

PLoS Comput. Biol., 2021

Learning in Volatile Environments With the Bayes Factor Surprise.

Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea

Neural Comput., 2021

Fitting summary statistics of neural data with a differentiable spiking network simulator.

Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks.

Alireza Modirshanechi, Mohammad Mahdi Kiani, Hamid Aghajan

NeuroImage, 2019

An Approximate Bayesian Approach to Surprise-Based Learning.

Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea

CoRR, 2019

2017

Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls.

Parnian Kassraie, Alireza Modirshanechi, Hamid K. Aghajan

Proceedings of the 6th International Conference on Data Science, 2017