Dania Humaidan

According to our database, Dania Humaidan authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A first realization of reinforcement learning-based closed-loop EEG-TMS.

Dania Humaidan, Jiahua Xu, Jing Chen, Christoph Zrenner, David Emanuel Vetter, Laura Marzetti, Paolo Belardinelli, Timo Roine, Risto J. Ilmoniemi, Gian Luca Romani, Ulf Zieman

CoRR, February, 2026

2025

Predictive modeling of TMS-evoked responses: Unraveling instantaneous excitability states.

Oskari Ahola, Lisa Haxel, Maria Ermolova, Dania Humaidan, Tuomas P. Mutanen, Mikael Laine, Matilda Makkonen, Elena Ukharova, Timo Roine, Pantelis Lioumis, Roberto Guidotti, Risto J. llmoniemi, Ulf Ziemann

NeuroImage, 2025

2024

Closed-Loop Phase Selection in EEG-TMS Using Bayesian Optimization.

Miriam Kirchhoff, Dania Humaidan, Ulf Ziemann

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2022

Fostering Event-Predictive Encodings in Recurrent Neural Networks.

Dania Humaidan

PhD thesis, 2022

2021

Latent Event-Predictive Encodings through Counterfactual Regularization.

Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Fostering Event Compression Using Gated Surprise.

Dania Humaidan, Sebastian Otte, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Learning, planning, and control in a monolithic neural event inference architecture.

Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte

Neural Networks, 2019

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE.

Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019