David C. Jangraw, Ph.D.

Affiliations: 
2014 Biomedical Engineering Columbia University, New York, NY 
Area:
Theoretical Neuroscience, Cognitive/Systems Neuroscience, Brain Imaging, Systems and Circuits
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"David Jangraw"
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Paul Sajda grad student 2014 Columbia
 (Neural and Ocular Signals Evoked by Visual Targets in Naturalistic Environments.)
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Publications

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Luber B, Jangraw DC, Appelbaum G, et al. (2020) Using Transcranial Magnetic Stimulation to Test a Network Model of Perceptual Decision Making in the Human Brain. Frontiers in Human Neuroscience. 14: 4
Finn ES, Huber L, Jangraw DC, et al. (2019) Layer-dependent activity in human prefrontal cortex during working memory. Nature Neuroscience. 22: 1687-1695
Yu Y, Huber L, Yang J, et al. (2019) Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex. Science Advances. 5: eaav9053
Huber L, Tse DHY, Wiggins CJ, et al. (2018) Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges. Neuroimage
Marathe AR, Metcalfe JS, Lance BJ, et al. (2018) The privileged sensing framework: A principled approach to improved human-autonomy integration Theoretical Issues in Ergonomics Science. 19: 283-320
Huber L, Handwerker DA, Jangraw DC, et al. (2017) High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1. Neuron
Jangraw DC, Gonzalez-Castillo J, Handwerker DA, et al. (2017) A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task. Neuroimage
Saproo S, Shih V, Jangraw DC, et al. (2016) Neural mechanisms underlying catastrophic failure in human-machine interaction during aerial navigation. Journal of Neural Engineering. 13: 066005
Gonzalez-Castillo J, Panwar P, Buchanan LC, et al. (2016) Evaluation of multi-echo ICA denoising for task based fMRI studies: Block designs, rapid event-related designs, and cardiac-gated fMRI. Neuroimage
Saproo S, Faller J, Shih V, et al. (2016) Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction Computer. 49: 60-68
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