Publications

Articles

Williams, C. C., Weinhardt, D., Wirzberger, M., & Musslick, S. (2023)
Augmenting EEG with generative adversarial networks enhances brain decoding across classifiers and sample sizes In Proceedings of the 45th Annual Conference of the Cognitive Science Society. Sydney, AU. [Conference paper] *equal contribution

Abstracts

Weinhardt, D., Eckstein, M., & Musslick, S. (2024)
Computational discovery of human reinforcement learning dynamics from behavioral data, Dynamics Days Europe. Bremen, DE. [Mini-symposium]

Weinhardt, D., Eckstein, M., & Musslick, S. (2024).
Uncovering the dynamics behind human reinforcement learning, NeuroLab-Workshop, Google Deepmind. London, UK. [Poster]

Williams, C. C., Weinhardt, D., Wirzberger, M., & Musslick, S. (2023).
Enhancing EEG Classification Performance through Generative Adversarial Networks: Investigating the Impact of Sample Sizes and Classifier Selection. International Conference on Data-Integrated Simulation Science (SimTech2023). Stuttgart, DE. [Poster] *equal contribution

Software

Williams, C. C., Weinhardt, D., Musslick*, S. (2023) EEG-GAN, Autonomous Empirical Research Group (Copyright 2023, Brown University, Providence, RI). [Software] *equal contribution
Github, Documentation