Accelerated Learning

Office of Naval Research logo.

In research for the Office of Naval Research's Human Performance, Training, & Education program, EGI scientists are applying neurophysiological theory and methods to understand the neural mechanisms of learning and memory.

Navy soldiers in front of computer screens.











From the scientific understanding gained in neurophysiological studies of learning, our goal is to provide direction to Navy trainers on how to optimize rapid and flexible learning and the use of the complex information systems in today's Navy and Marine combat systems. In the simplest case, the result of this research may be improvements in behavioral training, as we understand the underlying brain mechanisms of training.


Dense Array EEG Map of the brain.



In a more visionary goal, we may learn to use dEEG at key points during the training process to assess the student's progress in organizing brain activity.  The result could be fast and effective coaching on optimal neuropsychological performance.


Darpa Aucog logo.










Our current work on brain-computer interfaces is guided by a vision of improved brain-machine communications that was first conveyed in the DARPA Augmented Cognition program, organized by Cmdr. Dylan Schmorrow, ONR.

DARPA Augmented Cognition program diagram.


Luu, P., Tucker, D. M., & Stripling, R. (2007). Neural mechanisms for learning actions in context. Brain Res, 1179, 89-105.
Luu, P., Flaisch, T., & Tucker, D. M. (2000). Medial frontal cortex in action monitoring. J Neurosci, 20(1), 464-469.
Luu, P. & Pederson, S. (2004). The anterior cingulate cortex: regulating actions in context. In M. I. Posner (Ed.), Cognitive neuroscience of attention. (pp. 232-244). New York: Guildford Publications, Inc.
Luu, P., Tucker, D. M., & Makeig, S. (2004). Frontal midline theta and the error-related negativity: neurophysiological mechanisms of action regulation. Clin Neurophysiol, 115(8), 1821-1835.
Poulsen, C., Luu, P., Davey, C., & Tucker, D. M. (2005). Dynamics of task sets: evidence from dense-array event-related potentials. Brain Res Cogn Brain Res, 24(1), 133-154.
Tucker, D. M. & Luu, P. (2006). Adaptive Binding. In H. Zimmer, A. Mecklinger, & U. Lindenberger (Eds.), Binding in Human Memory: A Neurocognitive Approach. (pp. 85-108). New York: Oxford University Press.
Tucker, D. M. & Luu, P. (2007). Neurophysiology of motivated learning: Adaptive mechanisms of cognitive bias in depression. Cognitive Therapy and Research, 31, 189-209.