Dataset
A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation
Faculty of Engineering, 2024. urn:nbn:hr:190:283022
Šverko, Zoran; Vlahinić, Saša; Rogelj, Peter

 Dataset
Dataset: fun_constant_window_v1_gc.txt, 2.45 KB
Access Condition: Open access

Dataset: gcmodel.txt, 1.54 KB
Access Condition: Open access

Dataset: instructions_for_use.txt, 350 bytes
Access Condition: Open access

Dataset: reconstructsig2.txt, 1.4 KB
Access Condition: Open access

Dataset: stationarity_testing.txt, 1.03 KB
Access Condition: Open access

Dataset: synth_signal_gen.txt, 7.7 KB
Access Condition: Open access
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Cite this document

Šverko, Z., Vlahinić, S. & Rogelj, P. (2024). A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation [Data set]. https://urn.nsk.hr/urn:nbn:hr:190:283022.

Šverko, Zoran, et al. A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation. Tehnički fakultet, 2024. 26 Dec 2024. https://urn.nsk.hr/urn:nbn:hr:190:283022.

Šverko, Zoran, Saša Vlahinić, and Peter Rogelj. 2024. A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation. Tehnički fakultet. https://urn.nsk.hr/urn:nbn:hr:190:283022.

Šverko, Z., Vlahinić, S. and Rogelj, P. 2024. A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation. Tehnički fakultet. [Online]. [Accessed 26 December 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:190:283022.

Šverko Z, Vlahinić S, Rogelj P. A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation. [Internet]. Tehnički fakultet; 2024, [cited 2024 December 26] Available from: https://urn.nsk.hr/urn:nbn:hr:190:283022.

Z. Šverko, S. Vlahinić and P. Rogelj, A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation, Tehnički fakultet, 2024. Accessed on: Dec 26, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:190:283022.

Title (english)A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation
Title (english)A Framework for Evaluating Dynamic Directed Brain Connectivity Estimation Methods Using Synthetic EEG Signal Generation
AuthorZoran Šverko
Sveučilište u Rijeci, Tehnički fakultet
AuthorSaša Vlahinić
Sveučilište u Rijeci, Tehnički fakultet
AuthorPeter Rogelj
University of Primorska Faculty of Mathematics, Natural Sciences and Information Technologies
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:190:283022
Publication2024-11-08
PublisherTehnički fakultet
Faculty of Engineering
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-11-08 10:27:10