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
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. 02 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 02 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 02] 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 02, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:190:283022.