Dominik Krzeminski
Research student, School of Psychology
- krzeminskidk@cardiff.ac.uk
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ
Overview
My scientific interests lie in the intersection of machine-learning and cognitive science, in particular, decision making.
Research
Research interests
The main aim of my research is to provide guidelines for choosing optimal MVPA methods for empirical questions in neuroimaging problems. To achieve that, I use generated computer-simulated MEG data. Furthermore, I work on EEG/MEG data classification and modelling of clinical data or data from decision-making tasks.
Teaching
18/19-PS2024 Psychological Research Skills tutor
Thesis
Optimal decoding of spatiotemporal patterns in Magnetoencephalography (MEG)
Funding source
EPSRC
Supervisors
Publications
2021
- Zajkowski, W.et al. 2021. Breaking deadlocks: reward probability and spontaneous preference shape voluntary decisions and electrophysiological signals in humans. Computational Brain & Behavior 4, pp. 191-212. (10.1007/s42113-020-00096-6)
- Krzeminski, D. 2021. The role of modelling and computer
simulations at various levels of brain
organisation. PhD Thesis, Cardiff University. - Lopes, M. A.et al. 2021. Recurrence quantification analysis of dynamic brain networks. European Journal of Neuroscience 53(4), pp. 1040-1059. (10.1111/ejn.14960)
2020
- Simões, M.et al. 2020. BCIAUT-P300: a multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer -interfaces. Frontiers in Neuroscience 14, article number: 568104. (10.3389/fnins.2020.568104)
- Krzeminski, D.et al. 2020. Energy landscape of resting magnetoencephalography reveals frontoparietal network impairments in epilepsy. Network Neuroscience 4(2), pp. 374-396. (10.1162/netn_a_00125)
2019
- Spasic, I.et al. 2019. Cohort selection for clinical trials from longitudinal patient records: text mining approach. JMIR Medical Informatics 7(4), article number: e15980. (10.2196/15980)
- Krzeminski, D.et al. 2019. Classification of P300 component using a riemannian ensemble approach. Presented at: MEDICON 2019XV Mediterranean Conference on Medical and Biological Engineering and Computing, Coimbra, Portugal, 26-28 September 2019, Vol. 76. Springer Science Business Media, (10.1007/978-3-030-31635-8_229)
2018
- Krzeminski, D., Balinsky, H. and Balinsky, A. 2018. Helmholtz principle on word embeddings for automatic document segmentation. Presented at: DocEng 18: 18th ACM Symposium on Document Engineering, Halifax, Nova Scotia, Canada, 28-31 August 2018DocEng '18: Proceedings of the ACM Symposium on Document Engineering 2018. New York, NY: ACM, (10.1145/3209280.3229103)