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Markus Plank, Ph.D.

Affiliations: 
Institute for Neural Computation University of California, San Diego, La Jolla, CA 
Area:
virtual reality, human-robot interaction, EEG and fMRI, motion capture, eye movements, spatial cognition, movement uncertainty
Website:
http://inc.ucsd.edu/poizner/mplank.html
Google:
""markus plank" spatial"
Bio:

Research Interests
- Virtual Reality (VR) full-body immersion including visual, auditory, and haptic modalities
- Neurophysiological and neurocognitive foundations of human learning and memory
- High-resolution spatio-temporal brain imaging, electroencephalography (EEG), functional magnetic resonance imaging (fMRI)
- Brain-Computer Interfaces (BCI) and Assistive technologies
- Neural and behavioral dynamics of human-robot and human-avatar interaction
- Ressource-intense data mining of complex multidimensional sensorimotor and biophysiological data
- Model-based reconstruction of electrocortical generator sources
- Spatial cognition: Navigation, path integration, reference frames
- Unsupervised and supervised spatial learning
- Movement optimization and representation of uncertainty

Mean distance: 16.11 (cluster 22)
 
SNBCP
Cross-listing: Robotree

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Publications

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Plank M, Snider J, Kaestner E, et al. (2015) Neurocognitive stages of spatial cognitive mapping measured during free exploration of a large-scale virtual environment. Journal of Neurophysiology. 113: 740-53
Yang L, Leung H, Plank M, et al. (2015) EEG activity during movement planning encodes upcoming peak speed and acceleration and improves the accuracy in predicting hand kinematics. Ieee Journal of Biomedical and Health Informatics. 19: 22-8
Iversen JR, Ojeda A, Mullen T, et al. (2014) Causal analysis of cortical networks involved in reaching to spatial targets. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 4399-402
Wong CW, Olafsson V, Plank M, et al. (2014) Resting-state fMRI activity predicts unsupervised learning and memory in an immersive virtual reality environment. Plos One. 9: e109622
Park C, Plank M, Snider J, et al. (2014) EEG gamma band oscillations differentiate the planning of spatially directed movements of the arm versus eye: multivariate empirical mode decomposition analysis. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 22: 1083-96
Gepshtein S, Li X, Snider J, et al. (2014) Dopamine function and the efficiency of human movement. Journal of Cognitive Neuroscience. 26: 645-57
Yang L, Leung H, Plank M, et al. (2014) Alpha and beta band power changes predict reaction time and endpoint error during planning reaching movements Proceedings - 2014 7th International Conference On Biomedical Engineering and Informatics, Bmei 2014. 264-268
Urgen BA, Plank M, Ishiguro H, et al. (2013) EEG theta and Mu oscillations during perception of human and robot actions. Frontiers in Neurorobotics. 7: 19
Snider J, Plank M, Lee D, et al. (2013) Simultaneous neural and movement recording in large-scale immersive virtual environments. Ieee Transactions On Biomedical Circuits and Systems. 7: 713-21
Govil N, Akinin A, Ward S, et al. (2013) The role of proprioceptive feedback in Parkinsonian resting tremor. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 4969-72
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