Publications by Type: Journal Article

E. F. Oblak, Sulzer, J. S., and Lewis-Peacock, J. A., “A simulation-based approach to improve decoded neurofeedback performance,” NeuroImage, vol. 195, pp. 300-310, 2019.
T. Akbas, Neptune, R. R., and Sulzer, J., “Neuromusculoskeletal simulation reveals abnormal rectus femoris-gluteus medius coupling in post-stroke gait,” Frontiers in neurology, vol. 10, 2019.
T. Akbas, Prajapati, S., Ziemnicki, D., Tamma, P., Gross, S., and Sulzer, J., “Hip circumduction is not a compensation for reduced knee flexion angle during gait,” Journal of biomechanics, 2019.
U. Herwig, Lutz, J., Scherpiet, S., Scheerer, H., Kohlberg, J., Opialla, S., Preuss, A., Steiger, V. R., Sulzer, J., and Weidt, S., “Training emotion regulation through real-time fMRI neurofeedback of amygdala activity,” NeuroImage, 2018.
J. Dueñas, Sulzer, J., Stämpfli, P., Hepp-Reymond, M. - C., Kollias, S., Seifritz, E., and Gassert, R., “BOLD signal in sensorimotor regions reveals differential encoding of passive forefinger velocity and displacement amplitude,” NeuroImage, vol. 173, pp. 332-340, 2018.
S. Y. Shin, Deshpande, A., and Sulzer, J., “Design of an Underactuated, Adaptable Electromechanical Gait Trainer for People with Neurological Injury,” Journal of Mechanisms and Robotics, 2018.
M. R. Tucker, Shirota, C., Lambercy, O., Sulzer, J. S., and Gassert, R., “Design and characterization of an exoskeleton for perturbing the knee during gait,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 10, pp. 2331-2343, 2017.
E. F. Oblak, Lewis-Peacock, J. A., and Sulzer, J. S., “Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment,” PLoS computational biology, vol. 13, no. 7, pp. e1005681, 2017.
R. Sitaram, Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., Weiskopf, N., Blefari, M. L., Rana, M., Oblak, E., Birbaumer, N., and Sulzer, J., “Closed-loop brain training: the science of neurofeedback,” Nature Reviews Neuroscience, 2017.
K. Emmert, Kopel, R., Sulzer, J., Brühl, A. B., Berman, B. D., Linden, D. E. J., Horovitz, S. G., Breimhorst, M., Caria, A., and Frank, S., “Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?,” NeuroImage, vol. 124, pp. 806-812, 2016.
B. Vigaru, Sulzer, J., and Gassert, R., “Design and Evaluation of a Cable-Driven fMRI-Compatible Haptic Interface to Investigate Precision Grip Control,” Haptics, IEEE Transactions on, no. 99, pp. 1-13, 2015.
M. Blefari, Sulzer, J., Hepp-Reymond, M., Kollias, S., and Gassert, R., “Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery,” Frontiers in Behavioral Neuroscience, vol. 9, pp. 18, 2015.
A. B. Bruehl and S Scherpiet, J Sulzer, S. S. H. P. E. U., “Training to down-regulate the amygdala by means of real-time fMRI neurofeedback,” Brain Topography, vol. 27, pp. 138–148, 2014.
J. Sulzer, Sitaram, R., Blefari, M. L., Kollias, S., Birbaumer, N., Stephan, K. E., Luft, A., and Gassert, R., “Neurofeedback-mediated self-regulation of the dopaminergic midbrain,” Neuroimage, vol. 83, pp. 817-825, 2013.
J. Sulzer, Haller, S., Scharnowski, F., Weiskopf, N., Birbaumer, N., Blefari, M. L., Bruehl, A. B., Cohen, L. G., Gassert, R., and Goebel, R., “Real-time fMRI neurofeedback: progress and challenges,” Neuroimage, vol. 76, pp. 386-399, 2013.
J. S. Sulzer, Gordon, K. E., Dhaher, Y. Y., Peshkin, M. A., and Patton, J. L., “Preswing knee flexion assistance is coupled with hip abduction in people with stiff-knee gait after stroke,” Stroke, vol. 41, no. 8, pp. 1709-1714, 2010.
J. S. Sulzer, Roiz, R. A., Peshkin, M. A., and Patton, J. L., “A highly backdrivable, lightweight knee actuator for investigating gait in stroke,” Robotics, IEEE Transactions on, vol. 25, no. 3, pp. 539-548, 2009.
J. S. Sulzer, Peshkin, M. A., and Patton, J. L., “Pulling your strings,” Robotics & Automation Magazine, IEEE, vol. 15, no. 3, pp. 70-78, 2008.