The co-living between reality and virtuality as a daily routine

G. Tsampounaris, A. P. Fuentes Raventos, M. Wiesing, R. Montserrat Jovellar, K. Pilcher, K. El Raheb, A. Pilacinski, M. Slater

Published in Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26), pp. 1–5

DOI:

10.1145/3772363.3778711

PEHRCIVE: Platform for evaluating human-robot collaboration and interaction in virtual environments

E. Araújo, P. A. Silva, S. Bermúdez i Badia, D. Branco, A. Pilacinski

Published in Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI ’26), pp. 30–38

DOI:

10.1145/3757279.3785622

Per oculos ad loculos? – what can we learn from eye tracking about emblem art perception?

Artur Pilacinski, Filipa Araújo, Zohar Tal, Patricia Fernandes

Published in Eikon – Journal on Semiotics and Culture

DOI: 10.5209/eiko.99780

Pupillary oscillations accompany hand movement planning in naturalistic scenes

Sebastian Wiedenski, Marita Metzler, Christian Klaes, Artur Pilacinski

Published in bioRxiv (2025)

DOI:: 10.64898/2025.12.23.696178

Faster implicit motor sequence learning of new sequences compatible in terms of movement transitions

Susanne Dyck, Christian Klaes

Published in npj Science of Learning (2025) | Vol. 10, Issue 1, Page 3

DOI:: 10.1038/s41539-025-00296-4

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces

Aline Xavier Fidêncio, Felix Grün, Christian Klaes, Ioannis Iossifidis

Published in arXiv preprint (2025) | arXiv:2502.18594

DOI:10.48550/arXiv.2502.18594

Spontaneous eye movements reveal that premotor cortex is involved in human thinking

Artur Pilacinski, Lia Wagner, Gabriel Besson, Maria Joao Matos, Eduardo Araujo, Christian Klaes

Published in bioRxiv (2025) | Pages: 2025.03.11.642662

DOI: https://doi.org/10.1101/2025.03.11.642662

Human in the collaborative loop: a strategy for integrating human activity recognition
and non-invasive brain-machine interfaces to control collaborative robots

Artur Pilacinski, Lukas Christ, Marius Boshoff, Ioannis Iossifidis,
Patrick Adler, Michael Miro, Bernd Kuhlenkötter, Christian Klaes

Published in Front. Neurorobot. (2024) | Vol. 18

DOI: 10.3389/fnbot.2024.1383089

Humans underestimate the movement range of their own hands

Artur Pilacinski, Antoine Vandenberghe, Gabriella Andrietta, Gilles Vannuscorps

Published in Commun Psychol (2024) | Vol. 2, No. 1, p. 104

DOI: 10.1038/s44271-024-00153-x

Training-related changes in neural beta oscillations associated with implicit and explicit motor sequence learning

Susanne Dyck, Christian Klaes

Published in Scientific Reports (2024) | Vol. 14, No. 1, p. 6781

DOI: 10.1038/s41598-024-57285-7

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Point of View: Beware ‘persuasive communication devices’ when

writing and reading scientific articles

Olivier Corneille, Jo Havemann, Emma L Henderson, Hans IJzerman, Ian Hussey,

Jean-Jacques Orban de Xivry, Lee Jussim, Nicholas P Holmes, Artur Pilacinski, Brice Beffara, Harriet Carroll, Nicholas Otieno Outa, Peter Lush, Leon D Lotter

Published in eLife (2023) Sciences Publications, Ltd | Vol. 12, p. e88654

DOI: 10.7554/eLife.88654

Phantom touch illusion: Unexpected phenomenological effects of tactile gating in the absence of tactile stimulation

Artur Pilacinski, Marita Metzler, Christian Klaes

Published in Nature (2023)

DOI: 10.1038/s41598-023-42683-0

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The robot eyes don’t have it: The presence of eyes on collaborative robots yields marginally higher user trust but lower performance

Artur Pilacinski, Ana Pinto, Soraia Oliveira, Eduardo Araújo, Carla Carvalho, Paula Alexandra Silva, Ricardo Matias, Paulo Menezes, Sonia Sousa

Published in Heliyon (2023) | Vol. 9, No. 8, p. e18164

DOI: 10.1016/j.heliyon.2023.e18164

Error-related potentials in reinforcement learning-based brain-machine interfaces

Aline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis

Published in Frontiers in Human Neuroscience (2022) | Vol. 16

DOI: https://doi.org/10.3389/fnhum.2022.806517

ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces

Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes

Published in arXiv preprint arXiv:2206.10677 (2022)

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Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method

Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes

Published in Scientific Reports (2022) | Vol. 12, No. 1, pp. 1–19

DOI: 10.1038/s41598-022-07992-w

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Questionable evidence for prefrontal cortex as an alleged psi inhibitor

Artur Pilacinski, Christian Klaes, Jason Friedman, Michael Wiesing

Published in Cortex (2024), ISSN: 0010-9452.

DOI: 10.1016/j.cortex.2024.01.001

Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup

Robin Lienkämper, Susanne Dyck, Muhammad Saif-ur-Rehman, Marita Metzler, Omair Ali, Christian Klaes

Published in Scientific Reports (2021) | Vol. 11, No. 1, p. 4614

DOI: 10.1038/s41598-021-84288-5

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SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm

Muhammad Saif-ur-Rehman, Omair Ali, Susanne Dyck, Robin Lienkämper, Marita Metzler, Yaroslav Parpaley, Jörg Wellmer, Charles Liu, Brian Lee, Spencer Kellis, Richard Andersen, Ioannis Iossifidis, Tobias Glasmachers, Christian Klaes

Published in Journal of Neural Engineering (2021) | Vol. 18, No. 1, p. 016009

DOI: 10.1088/1741-2552/abc8d4

Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals

Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes

Published in arXiv preprint (2020) | arXiv:2011.14694

DOI: 10.48550/arXiv.2011.14694

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Muhammad Saif-ur-Rehman, Robin Lienkämper, Yaroslav Parpaley, Jörg Wellmer, Charles Liu, Brian Lee, Spencer Kellis, Richard Andersen, Ioannis Iossifidis, Tobias Glasmachers, Christian Klaes

Published in Journal of Neural Engineering (2019) | Vol. 16, No. 5, p. 056003

DOI: 10.1088/1741-2552/ab1e63

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Engineering artificial somatosensation through cortical stimulation in humans

Brian Lee, Daniel Kramer, Michelle Armenta Salas, Spencer Kellis, David Brown, Tatyana Dobreva, Christian Klaes, Christi Heck, Charles Liu, Richard A Andersen

Published in Frontiers in Systems Neuroscience (2018) | Volume 12 | Page 24

DOI: 10.3389/fnsys.2018.00024

Invasive brain-computer interfaces and neural recordings from humans

Christian Klaes

Published in Handbook of Behavioral Neuroscience (2018) | Volume 28 | Pages 527–539

DOI: 10.1016/B978-0-12-812028-6.00028-8

Decoding motor imagery from the posterior parietal cortex of a tetraplegic human

Tyson Aflalo, Spencer Kellis, Christian Klaes, Brian Lee, Ying Shi, Kelsie Pejsa, Kathleen Shanfield, Stephanie Hayes-Jackson,

Mindy Aisen, Christi Heck, Charles Liu, Richard A Andersen

Published in Science (2015) | Volume 348, Issue 6237 | Pages 906–910

DOI: 10.1126/science.aaa5417

Hand shape representations in the human posterior parietal cortex

Christian Klaes, Spencer Kellis, Tyson Aflalo, Brian Lee, Kelsie Pejsa, Kathleen Shanfield, Stephanie Hayes-Jackson, Mindy Aisen, Christi Heck, Charles Liu, Richard A Andersen

Published in Journal of Neuroscience (2015) | Vol. 35, No. 46, pp. 15466–15476

DOI: 10.1523/JNEUROSCI.2747-15.2015

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A collaborative BCI approach to autonomous control of a prosthetic limb system

Kapil D Katyal, Matthew S Johannes, Spencer Kellis, Tyson Aflalo, Christian Klaes, Timothy G McGee, Matthew P Para, Ying Shi,

Brian Lee, Kelsie Pejsa, Charles Liu, Brock A Wester, Francesco Tenore, James D Beaty, Alan D Ravitz, Richard A Andersen, Michael P McLoughlin

Presented at 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2014/10/5) | Pages 1479–1482

DOI: 10.1109/SMC.2014.6974124

Toward more versatile and intuitive cortical brain–machine interfaces

Richard A Andersen, Spencer Kellis, Christian Klaes, Tyson Aflalo

Published in Current Biology (2014/9/22) | Volume 24, Issue 18 | Pages R885–R897

DOI: 10.1016/j.cub.2014.07.068

A cognitive neuroprosthetic that uses cortical stimulation for somatosensory feedback

Christian Klaes, Ying Shi, Spencer Kellis, Juri Minxha, Boris Revechkis, Richard A Andersen

Published in Journal of Neural Engineering (2014/9/22) | Volume 11, Issue 5 | Pages 056024

DOI: 10.1088/1741-2560/11/5/056024

Sensorimotor learning biases choice behavior: a learning neural field model for decision making

Christian Klaes, Sebastian Schneegans, Gregor Schöner, Alexander Gail

Published in PLoS Computational Biology (2012/11/15) | Volume 8, Issue 11 | Pages e1002774

DOI: 10.1371/journal.pcbi.1002774

A neural field model of decision making in the posterior parietal cortex

Christian Klaes, Sebastian Schneegans, Gregor Schöner, Alexander Gail

Published in BMC Neuroscience (2011/12) | Volume 12 | Pages 1–2

DOI: 10.1186/1471-2202-12-S1-P116

Choosing Goals, Not Rules: Deciding among Rule-Based Action Plans

Christian Klaes, Stephanie Westendorff, Shubhodeep Chakrabarti, Alexander Gail

Published in Neuron (2011/5/12) | Volume 70, Issue 3 | Pages 536–548

DOI: 10.1016/j.neuron.2011.02.053

The cortical timeline for deciding on reach motor goals

Stephanie Westendorff, Christian Klaes, Alexander Gail

Published in Journal of Neuroscience (2010/4/14) | Volume 30, Issue 15 | Pages 5426–5436

DOI: 10.1523/JNEUROSCI.4628-09.2010

Implementation of spatial transformation rules for goal-directed reaching via gain modulation in monkey parietal and premotor cortex

Alexander Gail, Christian Klaes, Stephanie Westendorff

Published in Journal of Neuroscience (2009/7/29) | Volume 29, Issue 30 | Pages 9490–9499

DOI: 10.1523/JNEUROSCI.0710-09.2009

Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience

Stefan Schneider, Christian Igel, Christian Klaes, Hubert R Dinse, Jan C Wiemer

Published in Genetic Programming and Evolvable Machines (2004/6) | Volume 5 | Pages 215–227

DOI: 10.1023/B:GENP.0000023682.90211.bd