Research output per year
Research output per year
Project Details
| Acronym | ConnectToBrain |
|---|---|
| Status | Active |
| Effective start/end date | 01/08/2019 → 31/08/2026 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach
Pankka, H., Lehtinen, J., Ilmoniemi, R. & Roine, T., 18 Mar 2025, In: Neural Computation. 37, 4, p. 793-814 22 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Investigating brain network dynamics in state-dependent stimulation : A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models
Makkinayeri, S., Guidotti, R., Basti, A., Woolrich, M. W., Gohil, C., Pettorruso, M., Ermolova, M., Ilmoniemi, R. J., Ziemann, U., Romani, G. L., Pizzella, V. & Marzetti, L., 1 May 2025, In: Brain Stimulation. 18, 3, p. 800-809 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Involvement of muscarinic acetylcholine receptor-mediated cholinergic neurotransmission in TMS–EEG responses
Song, Y., Gordon, P. C., Roy, O., Metsomaa, J., Belardinelli, P., Rostami, M. & Ziemann, U., 10 Jan 2025, In: Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136, p. 1-17 17 p., 111167.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile12 Downloads (Pure)
Datasets
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Dataset for the article "Blindly separated spontaneous network-level oscillations predict corticospinal excitability"
Ermolova, M. (Creator), Metsomaa, J. (Creator), Belardinelli, P. (Creator), Zrenner, C. (Creator) & Ziemann, U. (Creator), Zenodo, 23 Oct 2023
DOI: 10.5281/zenodo.10034963, https://zenodo.org/records/10034964
Dataset
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DELMEP: A deep learning algorithm for automated annotation of motor evoked potential latencies
Milardovich, D. (Creator), Souza, V. H. (Creator), Zubarev, I. (Creator), Tugin, S. (Creator), Nieminen, J. O. (Creator), Bigoni, C. (Creator), Hummel, F. C. (Creator), Korhonen, J. T. (Creator), Aydogan, D. B. (Creator), Lioumis, P. (Creator), Taherinejad, N. (Creator), Grasser, T. (Creator) & Ilmoniemi, R. J. (Creator), Zenodo, 10 May 2023
DOI: 10.5281/zenodo.7920466, https://zenodo.org/record/7920467
Dataset: Software or code