Cichocki, Andrzej

A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update

Lotte, F., Bougrain, L., Cichocki, A., Clerc, M., Congedo, M., Rakotomamonjy, A., & Yger, F. (2018) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 2,239

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

Zheng, W.-L., Liu, W., Lu, Y., Lu, B.-L., & Cichocki, A. (2019) · IEEE Transactions on Cybernetics

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 1,276

Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives

Vialatte, F.-B., Maurice, M., Dauwels, J., & Cichocki, A. (2010) · Progress in Neurobiology

EEG and Brain-Computer InterfacesNeural dynamics and brain function

Cited by 1,066

Multikernel Capsule Network for Schizophrenia Identification

Wang, T., Bezerianos, A., Cichocki, A., & Li, J. (2022) · IEEE Transactions on Cybernetics

Functional Brain Connectivity StudiesSchizophrenia research and treatment

Cited by 63

Incidentally Discovered Adrenal Tumors: A Lesson from Observation of 1444 Patients

Kasperlik-Załuska, A., Otto, M., Cichocki, A., Rosłonowska, E., Słowińska-Srzednicka, J., Jeske, W., Papierska, L., & Zgliczyński, W. (2008) · Hormone and Metabolic Research

Adrenal and Paraganglionic TumorsPituitary Gland Disorders and Treatments

Cited by 56

A new generation of brain-computer interfaces driven by discovery of latent EEG-fMRI linkages using tensor decomposition.

Deshpande, G., Rangaprakash, D., Oeding, L., Cichocki, A., & Hu, X. P. (2017) · Frontiers in Neuroscience

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 29