Spike detection and sorting with deep learning M Rácz, C Liber, E Németh, R Fiáth, J Rokai, I Harmati, I Ulbert, G Márton Journal of neural engineering 17 (1), 016038, 2020 | 49 | 2020 |
PlatypOUs—A Mobile Robot Platform and Demonstration Tool Supporting STEM Education M Rácz, E Noboa, B Détár, Á Nemes, P Galambos, L Szűcs, G Márton, ... Sensors 22 (6), 2284, 2022 | 10 | 2022 |
Development of an EMG based SVM supported control solution for the PlatypOUs education mobile robot using MindRove headset E Noboa, M Rácz, L Szűcs, P Galambos, G Márton, G Eigner IFAC-PapersOnLine 54 (15), 304-309, 2021 | 8 | 2021 |
Elvisort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution J Rokai, M Rácz, R Fiáth, I Ulbert, G Márton Journal of Neural Engineering 18 (4), 046033, 2021 | 7 | 2021 |
Head-mounted, wireless eyetracker for real-time gaze prediction utilizing machine-learning VI Matusz, M Rácz, J Rokai, NE Jorgosz, T Molnár, D Maráki, I Ulbert, ... 2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-4, 2020 | 1 | 2020 |
Feasibility of a novel neurofeedback system: a parallel randomized single-blinded pilot study D Horváth, J Négyesi, M Rácz, T Győri, Z Matics, A Puskin, J Csipor, ... Scientific Reports 13 (1), 17353, 2023 | | 2023 |
Convolutional neural networks for spike sorting in paired electrophysiological recordings M Rácz, R Fiáth, D Meszéna, I Ulbert, G Márton | | |