We are excited to feature the recent publications of our members, highlighting their valuable research contributions to the field of neuroscience:
Alishbayli, A., Schlegel, N. J., & Englitz, B. (2023). Using auditory texture statistics for domain-neutral removal of background sounds. Frontiers in Audiology and Otology, 1, 1226946.Lao-Rodríguez, A. B., Przewrocki, K., Pérez-González, D., Alishbayli, A., Yilmaz, E., Malmierca, M. S., & Englitz, B. (2023). Neuronal responses to omitted tones in the auditory brain: A neuronal correlate for predictive coding. Science Advances, 9(24). https://doi.org/10.1126/sciadv.abq8657
Metin B, Uyulan Ç, Ergüzel TT, et al. The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data. Clinical EEG and Neuroscience. 2022;0(0).
Uyulan, C., Erguzel, T. T., Turk, O., Farhad, S., Metin, B., & Tarhan, N. (2022). A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data. Clinical Eeg and Neuroscience, 54(2), 151–159. https://doi.org/10.1177/15500594221122699
