Causality analysis of LFPs in micro-electrode arrays based on mutual information. - Nikolay V. Manyakov; Marc M. Van Hulle (ESANN, 2007)

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. - Adrien Combaz; Nikolay V. Manyakov; Nikolay Chumerin; Johan A. K. Suykens; Marc M. Van Hulle (ICMLA, 2009)

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. - Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Johan A. K. Suykens; Refet Firat Yazicioglu; Tom Torfs; Patrick Merken; Herc P. Neves; Chris Van Hoof; Marc M. Van Hulle (KI, 2009)

Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4. - Nikolay V. Manyakov; Jonas Poelmans; Rufin Vogels; Marc M. Van Hulle (ICAISC (2), 2010)

Decoding SSVEP Responses using Time Domain Classification. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marc M. Van Hulle (IJCCI (ICFC-ICNC), 2010)

Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4. - Nikolay V. Manyakov; Marc M. Van Hulle (Int. J. Neural Syst., 2010)

Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. - Nikolay V. Manyakov; Rufin Vogels; Marc M. Van Hulle (IEEE Trans. Neural Networks, 2010)

Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Marc M. Van Hulle (BIOSIGNALS, 2011)

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface. - Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (IDAACS (1), 2011)

Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (IDEAL, 2011)

Steady State Visual Evoked Potential Based Computer Gaming - The Maze. - Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (INTETAIN, 2011)

Brain-computer interface research at Katholieke Universiteit Leuven. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Patrick A. De Mazière; Marc M. Van Hulle (ISABEL, 2011)

Decoding phase-based information from SSVEP recordings: A comparative study. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (MLSP, 2011)

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction. - Arne Robben; Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Marijn van Vliet; Marc M. Van Hulle (MLSP, 2011)

Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Marc M. Van Hulle (Comput. Intell. Neurosci., 2011)

Decoding SSVEP Responses based on Parafac Decomposition. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (BIOSIGNALS, 2012)

Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. - Nikolay V. Manyakov; Adrien Combaz; Nikolay Chumerin; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (ICAISC (2), 2012)

Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. - Nikolay V. Manyakov; Nikolay Chumerin; Marc M. Van Hulle (Int. J. Neural Syst., 2012)

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. - Adrien Combaz; Nikolay Chumerin; Nikolay V. Manyakov; Arne Robben; Johan A. K. Suykens; Marc M. Van Hulle (Neurocomputing, 2012)

Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. - Nikolay Chumerin; Nikolay V. Manyakov; Marijn van Vliet; Arne Robben; Adrien Combaz; Marc M. Van Hulle (IEEE Trans. Comput. Intell. AI Games, 2013)

Language Model Applications to Spelling with Brain-Computer Interfaces. - Anderson Mora-Cortes; Nikolay V. Manyakov; Nikolay Chumerin; Marc M. Van Hulle (Sensors, 2014)

Automated Detection of Stereotypical Motor Movements in Autism Spectrum Disorder Using Recurrence Quantification Analysis. - Ulf Großekathöfer; Nikolay V. Manyakov; Vojkan Mihajlovic; Gahan Pandina; Andrew Skalkin; Seth Ness; Abigail Bangerter; Matthew S. Goodwin (Frontiers Neuroinformatics, 2017)

Using multimodal biosignal data from wearables to detect focal motor seizures in individual epilepsy patients. - Sebastian Böttcher; Nikolay V. Manyakov; Nino Epitashvili; Amos Folarin; Mark P. Richardson; Matthias Dümpelmann; Andreas Schulze-Bonhage; Kristof Van Laerhoven (iWOAR, 2019)

Learning Scan Paths of Eye Movement in Autism Spectrum Disorder. - Meenakshi Chatterjee; Nikolay V. Manyakov; Abigail Bangerter; Dzmitry A. Kaliukhovich; Shyla Jagannatha; Seth Ness; Gahan Pandina (MIE, 2020)

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. - Chloe Hinchliffe; Rana Zia Ur Rehman; Diogo Branco; Dan Jackson 001; Teemu Ahmaniemi; Tiago João Vieira Guerreiro; Meenakshi Chatterjee; Nikolay V. Manyakov; Ioannis Pandis; Kristen Davies; Victoria Macrae; Svenja Aufenberg; et al. (EMBC, 2023)

V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies. - Jessie P. Bakker; Roland Barge; Jacob Centra; Bryan Cobb; Chas Cota; Christine Cong Guo; Bert Hartog; Nathalie Horowicz-Mehler; Elena S. Izmailova; Nikolay V. Manyakov; Samantha McClenahan; Stéphane Motola; et al. (npj Digit. Medicine, 2025)

Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases. - Robbin Romijnders; Arash Atrsaei; Rana Zia Ur Rehman; Lea Strehlow; Jèrôme Massoud; Chloe Hinchliffe; Victoria Macrae; Kirsten Emmert; Ralf Reilmann; C. Janneke van der Woude; Geert Van Gassen; Frédéric Baribaud; et al. (npj Digit. Medicine, 2025)