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portfolio
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publications
Inferring subjective preferences on robot trajectories using EEG signals
Iwane, F., Halvagal, M. S., Iturrate, I., Batzianoulis, I., Chavarriaga, R., Billard, A., & Millán, J. D. R.
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
This paper presents a proof of concept that EEG error potentials from a BCI can be used to course-correct the motion of a robotic arm in real-time.
( paper )
The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks
Halvagal, M. S., & Zenke, F.
Nature Neuroscience, 2023
This preprint explains our theory that Hebbian plasticity helps predictive SSL to prevent representational collapse.
Implicit variance regularization in non-contrastive SSL
Halvagal, M. S.*, Laborieux, A.*, & Zenke, F.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023
Our paper explaining why the BYOL and SimSiam methods don’t suffer from representation collapse.
talks
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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