David Jangraw


Doctoral Dissertation:

  • Jangraw. (2014) “Neural and Ocular Signals Evoked by Visual Targets in Naturalistic Environments.” ProQuestColumbiapdf

Journal Papers and Full-Length Conference Articles:

  • Jangraw et al. (2014) “NEDE: An Open-Source Scripting Suite for Developing Experiments in 3D Virtual 2014 Environments.” Journal of neuroscience methods 235: 245-251. doi pdf
  • Jangraw et al. (2014) “Neurally and Ocularly Informed Graph-Based Models for Searching 3D Environments.”
    Journal of Neural Engineering 11: 046003 pdf
  • Jangraw and Sajda. (2013) “Feature Selection for Gaze, Pupillary, and EEG Signals Evoked in a 3D Environment.”
    Podium presentation, 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction at ACM ICMI 2013, Sydney, Australia. pdf
  • Jangraw and Sajda. (2011) “A 3-D Immersive Environment for Characterizing EEG Signatures of Target Detection.”
  • Invited paper, 5th International IEEE/EMBS Conference on Neural Eng., Cancún, Mexico. abstract (pdf)  poster (pdf)
  • Co-First Author: Peck, Jangraw et al. (2009) “Reward Modulates Attention Independently of Action Value in Posterior Parietal Cortex.”
    Journal of Neuroscience 29(36): 11182 pdf
  • Saproo, Shih, Jangraw, and Sajda. (submitted) “Neural Mechanisms Underlying Catastrophic Failure In Human-Machine Interaction During Aerial Navigation.”
    Journal of Neural Engineering.
  • Gonzalez-Castillo et al. (submitted) “Evaluation Of Me-Ica Denoising For Task Based fMRI Studies: Block Designs, Rapid Event Related Designs and Cardiac-Gated fMRI.”
  • Kyle, Jangraw et al. (2016) “Bioinstrumentation: A Project-Based Learning Course.”
    IEEE Trans. on Education. pdf
  • Foley, Jangraw et al. (2014) “Novelty Enhances Visual Salience Independently of Reward in the Parietal Lobe.”
    The Journal of Neuroscience, 4 June 2014, 34(23):7947-7957 pdf
  • Pohlmeyer, Wang, Jangraw et al. (2011) “Closing the loop in Cortically-Coupled Computer Vision: a BCI for Searching Image Databases.”
    Journal of Neuroengineering 8: 036025 pdf
  • Pohlmeyer, Jangraw et al. (2010) “Combining Computer and Human Vision into a BCI: Can the Whole Be Greater Than the Sum of Its Parts?”
    Invited Paper, 32nd Annual IEEE EMBS Conference. pdf
  • Franz et al. (2007) “Evidence of Cascaded Emission in a Dual-Wavelength Quantum Cascade Laser.”
    Applied Physics Letters 90: 091104 pdf

Conference Abstracts:

  • Jangraw et al. (2016) “fMRI Connectivity Outperforms Magnitude in Classifying Attention to Distracting Speech While Reading.”
    Accepted abstract, Human Brain Mapping Annual Meeting; Geneva, Switzerland.
  • Jangraw et al. (2016) “BOLD Functional Connectivity Features Outperform Magnitude Features in Classifying Attention to, But Not Presence Of, Distracting Speech During Reading.”
    Podium Presentation, 3rd Whistler Scientific Workshop on Brain Functional Organization, Connectivity, and Behavior; Whistler, BC, Canada.
  • Jangraw et al. (2016) “Multi-echo fMRI enhances reliability of brain-wide BOLD responses to a naturalistic movie.”
    Society for Neuroscience Annual Meeting, Chicago, Illinois. poster (pdf)
  • Jangraw et al. (2014)“Neural and Ocular Imaging in Naturalistic Scenarios.”
    EMBS BRAIN Grand Challenges Conference, Washington, District of Columbia. poster (pdf)
  • Jangraw and Sajda. (2012) “Interactions of Working Memory and Visual Perception in Saccade-Locked EEG.”
    Accepted abstract, Society for Neuroscience Annual Meeting, New Orleans, Louisiana. poster (pdf)
  • Jangraw and Sajda (2012). “Constructing Mutually-Derived Situational Awareness via EEG-Informed Graph-Based Transductive Inference.”
    Accepted abstract, IEEE Workshop on Brain-Machine-Body Interfaces (EMBC ‘12), San Diego, California. poster (pdf)
  • Jangraw and Sajda. (2011) “EEG Signatures of Target Detection in an Immersive 3-D Environment.”
    Accepted abstract, Human Brain Mapping Annual Meeting, Quebec City, Canada. poster (pdf)
  • Huber, Handwerker, Gonzalez-Castillo, Jangraw et al. (2016) “Effective Connectivity Measured with Layer-Dependent Resting-State Blood Volume fMRI in Humans.”
    Podium Presentation, International Society for Magnetic Resonance in Medicine; Singapore.
  • Huber, Handwerker, Gonzalez-Castillo, Jangraw et al. (2016) “Directional Connectivity Measured with Layer-Dependent fMRI in Human Sensory-Motor System. Podium Presentation, 3rd Whistler Scientific Workshop on Brain Functional Organization, Connectivity, and Behavior; Whistler, BC, Canada.
  • Gonzalez-Castillo, Panwar, Gaudes, Handwerker, Jangraw et al. (2016) “Multi-echo fMRI for rapid 2016 event related fMRI experiments.”
    Accepted abstract, Human Brain Mapping Annual Meeting; Geneva, Switzerland.
  • Evans, Jangraw et al. (2015) “Correlations of simultaneously acquired SSVEPs with BOLD fMRI response.”
    Human Brain Mapping Annual Meeting. abstract (pdf)
  • Saproo, Jangraw et al. (2015) “Evoked EEG Signatures Index Cognitive Workload in Human-­Machine Interaction.”
    Human Brian Mapping Annual Meeting. poster (pdf)
  • Bouchard, Downs, Jangraw  et al. (2013) “A Hands-On Course Teaching Bioinstrumentation through the Design and Construction of a Benchtop Cardiac Pacemaker.”
    Podium presentation, EMBC, Osaka, Japan. short paper (pdf)
  • Luber, Jangraw et al. (2013) “Using Transcranial Magnetic Stimulation to Elucidate Interactions Between Top-down and Bottom-up Brain Networks in Visual Discrimination.” Cognitive Neuroscience Society Annual Meeting, San Francisco, California. poster (pdf)
  • Kyle, Bouchard, Downs, and Jangraw. (2012) “Biomedical Engineering from Start to Finish: A Project Based Undergraduate Course.”
    Accepted abstract, BMES Annual Meeting, Atlanta, Georgia.
  • Foley, Peck, Jangraw et al. (2012) “Rapid coding of novelty-induced orienting in the parietal lobe.”
    Accepted Abstract, Vision Sciences Society Meeting.
  • Gottlieb, Peck, Jangraw et al. (2010) “How Reward Shapes Attention and the Search for Information.”
    Accepted Abstract, Vision Sciences Society Meeting.


  • Rapid Image Annotation Via Brain State Decoding and Visual Pattern Mining (issued March 2014)  link
    – Brain-Computer Interface for image or object retrieval in large databases or environments
    – U.S. Patent 8,671,069

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