Robert Guggenberger né Bauer
Robert Guggenberger né Bauer
neuroConn GmbH
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Cited by
Cited by
Justify your alpha
D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ...
Nature human behaviour 2 (3), 168-171, 2018
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ...
Brain 143 (6), 1674-1685, 2020
Observations on unaided smoking cessation after deep brain stimulation of the nucleus accumbens
J Kuhn, R Bauer, S Pohl, D Lenartz, W Huff, EH Kim, J Klosterkoetter, ...
European addiction research 15 (4), 196-201, 2009
Successful deep brain stimulation of the nucleus accumbens in severe alcohol dependence is associated with changed performance monitoring
J Kuhn, TOJ Gründler, R Bauer, W Huff, AG Fischer, D Lenartz, M Maarouf, ...
Addiction biology 16 (4), 620-623, 2011
Brain state-dependent transcranial magnetic closed-loop stimulation controlled by sensorimotor desynchronization induces robust increase of corticospinal excitability
D Kraus, G Naros, R Bauer, F Khademi, MT Leão, U Ziemann, ...
Brain Stimulation 9 (3), 415-424, 2016
Bridging the gap between motor imagery and motor execution with a brain–robot interface
R Bauer, M Fels, M Vukelić, U Ziemann, A Gharabaghi
Neuroimage 108, 319-327, 2015
Brain–robot interface driven plasticity: Distributed modulation of corticospinal excitability
D Kraus, G Naros, R Bauer, MT Leão, U Ziemann, A Gharabaghi
Neuroimage 125, 522-532, 2016
Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation
D Brauchle, M Vukelić, R Bauer, A Gharabaghi
Frontiers in human neuroscience 9, 564, 2015
Combining TMS and tACS for closed-loop phase-dependent modulation of corticospinal excitability: a feasibility study
V Raco, R Bauer, S Tharsan, A Gharabaghi
Frontiers in cellular neuroscience 10, 143, 2016
Lateralized alpha-band cortical networks regulate volitional modulation of beta-band sensorimotor oscillations
M Vukelić, R Bauer, G Naros, I Naros, C Braun, A Gharabaghi
Neuroimage 87, 147-153, 2014
Neurosensory effects of transcranial alternating current stimulation
V Raco, R Bauer, M Olenik, D Brkic, A Gharabaghi
Brain stimulation 7 (6), 823-831, 2014
Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation
R Bauer, A Gharabaghi
Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces
R Bauer, A Gharabaghi
Frontiers in Behavioral Neuroscience, 2015
Recruitment of additional corticospinal pathways in the human brain with state-dependent paired associative stimulation
D Kraus, G Naros, R Guggenberger, MT Leão, U Ziemann, A Gharabaghi
Journal of Neuroscience 38 (6), 1396-1407, 2018
Closed-loop adaptation of neurofeedback based on mental effort facilitates reinforcement learning of brain self-regulation
R Bauer, M Fels, V Royter, V Raco, A Gharabaghi
Clinical Neurophysiology 127 (9), 3156-3164, 2016
Neuro-cardiac coupling predicts transcutaneous auricular vagus nerve stimulation effects
M Keute, K Machetanz, L Berelidze, R Guggenberger, A Gharabaghi
Brain stimulation 14 (2), 209-216, 2021
Probing corticospinal recruitment patterns and functional synergies with transcranial magnetic stimulation
J Mathew, A Kübler, R Bauer, A Gharabaghi
Frontiers in cellular neuroscience 10, 175, 2016
What is the optimal task difficulty for reinforcement learning of brain self-regulation?
R Bauer, M Vukelić, A Gharabaghi
Clinical neurophysiology 127 (9), 3033-3041, 2016
Transcutaneous auricular vagus nerve stimulation and heart rate variability: Analysis of parameters and targets
K Machetanz, L Berelidze, R Guggenberger, A Gharabaghi
Autonomic Neuroscience 236, 102894, 2021
Predicting workload profiles of brain–robot interface and electromygraphic neurofeedback with cortical resting-state networks: personal trait or task-specific challenge?
M Fels, R Bauer, A Gharabaghi
Journal of Neural Engineering 12 (4), 046029, 2015
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Articles 1–20