On the complex dynamics of intracellular ganglion cell light responses in the cat retina. - Andrzej W. Przybyszewski; M. J. M. Lankheet; Wim A. van de Grind (Biol. Cybern., 1996)

Otto-Joachim Grüsser 1932-1995. - Andrzej W. Przybyszewski (Biol. Cybern., 1997)

Overview of Otto-Joachim Grüsser's work. - Andrzej W. Przybyszewski (Biol. Cybern., 1997)

Spatial asymmetries in cat retinal ganglion cell responses. - Paolo Gaudiano; Andrzej W. Przybyszewski; Richard J. A. van Wezel; Wim A. van de Grind (Biol. Cybern., 1998)

Brain Differently Changes its Algorithms in Parallel Processing of Visual Information. - Andrzej W. Przybyszewski; Daniel A. Pollen (Intelligent Information Systems, 2000)

Statistical Likelihood Representations of Prior Knowledge in Machine Learning. - Mark A. Kon; Leszek Plaskota; Andrzej W. Przybyszewski (Artificial Intelligence and Applications, 2005)

Machine Learning and Statistical MAP Methods. - Mark A. Kon; Leszek Plaskota; Andrzej W. Przybyszewski (Intelligent Information Systems, 2005)

Rough Set Theory of Shape Perception. - Andrzej W. Przybyszewski (ICIC (2), 2007)

Rough Set Theory of Pattern Classification in the Brain. - Andrzej W. Przybyszewski (PReMI, 2007)

Checking Brain Expertise Using Rough Set Theory. - Andrzej W. Przybyszewski (RSEISP, 2007)

Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina. - Andrzej W. Przybyszewski; Paul S. Linsay; Paolo Gaudiano; Christopher M. Wilson 001 (IEEE Trans. Neural Networks, 2007)

Brain-Like Approximate Reasoning. - Andrzej W. Przybyszewski (BCS Int. Acad. Conf., 2008)

Decision Making Logic of Visual Brain. - Andrzej W. Przybyszewski (ICANN (2), 2008)

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. - Tomasz M. Rutkowski; Danilo P. Mandic; Andrzej Cichocki; Andrzej W. Przybyszewski (ICIC (1), 2008)

Interactions between Rough Parts in Object Perception. - Andrzej W. Przybyszewski (ISMIS, 2008)

The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory. - Andrzej W. Przybyszewski (Trans. Rough Sets, 2008)

Neurological Foundation of Image Processing. - Andrzej W. Przybyszewski (ICAPR, 2009)

Logical rules of visual brain: From anatomy through neurophysiology to cognition. - Andrzej W. Przybyszewski (Cogn. Syst. Res., 2010)

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. - Tomasz M. Rutkowski; Danilo P. Mandic; Andrzej Cichocki; Andrzej W. Przybyszewski (J. Circuits Syst. Comput., 2010)

Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (ISMIS, 2011)

A System for Analysis of Tremor in Patients with Parkinson's Disease Based on Motion Capture Technique. - Magdalena Stawarz; Andrzej Polanski; Stanislaw Kwiek; Magdalena Boczarska-Jedynak; Lukasz Janik; Andrzej W. Przybyszewski; Konrad W. Wojciechowski (ICCVG, 2012)

Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson's Patients. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (ISMIS, 2012)

Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (FQAS, 2013)

DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures. - Krzysztof Kurowski; Ariel Oleksiak; Wojciech Piatek; Tomasz Piontek; Andrzej W. Przybyszewski; Jan Weglarz (Simul. Model. Pract. Theory, 2013)

Rough Set Based Classifications of Parkinson's Patients Gaits. - Andrzej W. Przybyszewski; Magdalena Boczarska-Jedynak; Stanislaw Kwiek; Konrad W. Wojciechowski (ACIIDS (2), 2014)

Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (Brain Informatics and Health, 2014)

Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients. - Artur Szymanski; Andrzej W. Przybyszewski (Brain Informatics and Health, 2014)

Spike Sorting Based upon PCA over DWT Frequency Band Selection. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (ISMIS, 2014)

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients. - Andrzej W. Przybyszewski; Mark A. Kon; Stanislaw Szlufik; Justyna Dutkiewicz; Piotr Habela; Dariusz M. Koziorowski (MICAI (2), 2014)

Foundations of automatic system for intrasurgical localization of subthalamic nucleus in Parkinson patients. - Konrad Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (Web Intell. Agent Syst., 2014)

Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease. - Marek Kulbacki; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski; Jakub Segen; Magdalena Lahor; Bartosz Jablonski; Marzena Wojciechowska (ACIIDS (2), 2015)

Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients. - Andrzej W. Przybyszewski; Stanislaw Szlufik; Justyna Dutkiewicz; Piotr Habela; Dariusz M. Koziorowski (ACIIDS (2), 2015)

Data mining using SPECT can predict neurological symptom development in Parkinson's patients. - Artur Szymanski; Stanislaw Szlufik; Justyna Dutkiewicz; Dariusz M. Koziorowski; Marek Cacko; Michal Nieniecki; Andrzej W. Przybyszewski (CYBCONF, 2015)

Frequency Based Mapping of the STN Borders. - Konrad A. Ciecierski; Zbigniew W. Ras; Andrzej W. Przybyszewski (ISMIS, 2015)

Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients. - Anna Kubis; Artur Szymanski; Andrzej W. Przybyszewski (PReMI, 2015)

Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments. - Artur Szymanski; Stanislaw Szlufik; Dariusz M. Koziorowski; Piotr Habela; Andrzej W. Przybyszewski (ITIB (1), 2016)

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients. - Andrzej W. Przybyszewski; Mark A. Kon; Stanislaw Szlufik; Artur Szymanski; Piotr Habela; Dariusz M. Koziorowski (Sensors, 2016)

Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients. - Andrzej W. Przybyszewski; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (ACIIDS (2), 2017)

Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method. - Artur Szymanski; Stanislaw Szlufik; Dariusz M. Koziorowski; Andrzej W. Przybyszewski (ACIIDS (2), 2017)

Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients. - Andrzej W. Przybyszewski; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (PReMI, 2017)

Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking. - Andrzej W. Przybyszewski; Lech T. Polkowski (Fundam. Informaticae, 2017)

Webcam-based system for video-oculography. - Jacek Naruniec; Michal Wieczorek; Stanislaw Szlufik; Dariusz M. Koziorowski; Michal Tomaszewski; Marek Kowalski; Andrzej W. Przybyszewski (IET Comput. Vis., 2017)

Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients. - Andrzej W. Przybyszewski; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (ACIIDS (2), 2018)

Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson's Disease Patients. - Andrzej W. Przybyszewski (ISMIS, 2018)

Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients. - Andrzej W. Przybyszewski; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (Intelligent Methods and Big Data in Industrial Applications, 2019)

DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques. - Artur Chudzik; Artur Szymanski; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ACIIDS (2), 2019)

Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients. - Andrzej W. Przybyszewski; Jerzy Pawel Nowacki; Aldona Drabik; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (ACIIDS (2), 2019)

Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression. - Albert Sledzianowski; Artur Szymanski; Aldona Drabik; Stanislaw Szlufik; Dariusz M. Koziorowski; Andrzej W. Przybyszewski (ACIIDS (2), 2019)

Parkinson's Disease Development Prediction by C-Granule Computing. - Andrzej W. Przybyszewski (ICCCI (1), 2019)

SI: SCA Measures - Fuzzy rough set features of cognitive computations in the visual system. - Andrzej W. Przybyszewski (J. Intell. Fuzzy Syst., 2019)

Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction. - Artur Chudzik; Artur Szymanski; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ACIIDS (2), 2020)

IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients. - Andrzej W. Przybyszewski; Jerzy Pawel Nowacki; Aldona Drabik; Stanislaw Szlufik; Dariusz M. Koziorowski (ACIIDS (2), 2020)

Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development. - Albert Sledzianowski; Artur Szymanski; Aldona Drabik; Stanislaw Szlufik; Dariusz M. Koziorowski; Andrzej W. Przybyszewski (ACIIDS (2), 2020)

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients. - Andrzej W. Przybyszewski; Artur Chudzik; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (Fundam. Informaticae, 2020)

Parkinson's disease development prediction by c-granule computing compared to different AI methods. - Andrzej W. Przybyszewski; Albert Sledzianowski (J. Inf. Telecommun., 2020)

Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease. - Andrzej W. Przybyszewski (ICCS (3), 2021)

Concept of Parkinson Leading to Understanding Mechanisms of the Disease. - Andrzej W. Przybyszewski; Jerzy Pawel Nowacki; Aldona Drabik; Stanislaw Szlufik; Dariusz M. Koziorowski (ICCCI, 2021)

Face emotional responses correlate with chaotic dynamics of eye movements. - Albert Sledzianowski; Krzysztof Urbanowicz; Wojciech Glac; Renata Slota; Maria Wojtowicz; Monika Nowak; Andrzej W. Przybyszewski (KES, 2021)

Rough Set Rules (RSR) Predominantly Based on Cognitive Tests Can Predict Alzheimer's Related Dementia. - Andrzej W. Przybyszewski; Kamila Bojakowska; Jerzy Pawel Nowacki; Aldona Drabik (ACIIDS (1), 2022)

Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements. - Albert Sledzianowski; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski; Krzysztof Urbanowicz (ACIIDS (1), 2022)

AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline. - Andrzej W. Przybyszewski (ICCS (3), 2022)

Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients. - Artur Chudzik; Aldona Drabik; Andrzej W. Przybyszewski (ACIIDS (2), 2023)

Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development. - Andrzej W. Przybyszewski; Jerzy Pawel Nowacki; Aldona Drabik (ACIIDS (1), 2023)

Novel Machine Learning Pipeline for Real-Time Oculometry. - Albert Sledzianowski; Jerzy Pawel Nowacki; Konrad Sitarz; Andrzej W. Przybyszewski (ACIIDS (Companion), 2023)

Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects. - Andrzej W. Przybyszewski (ICCS (3), 2023)

Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography. - Albert Sledzianowski; Jerzy Pawel Nowacki; Konrad Sitarz; Andrzej W. Przybyszewski (ICCS (3), 2023)

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. - Andrzej W. Przybyszewski; Albert Sledzianowski; Artur Chudzik; Stanislaw Szlufik; Dariusz M. Koziorowski (Sensors, 2023)

Recognizing Patterns of Parkinson's Disease Using Online Trail Making Test and Response Dynamics - Preliminary Study. - Artur Chudzik; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ICPR (2), 2024)

Pattern Classification Can Detect Prodromal Alzheimer's Neurodegenerations. - Andrzej W. Przybyszewski; Jerzy Pawel Nowacki; Aldona Drabik (ICPR (Workshops and Challenges, 2), 2024)

Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. - Artur Chudzik; Albert Sledzianowski; Andrzej W. Przybyszewski (Sensors, 2024)