Center of Excellence for Learning in Education, Science and Technology A National Science Foundation Science of Learning Center

Research Highlights 2013

  1. Novel ways of controlling a brain-computer interfaceDownload as PDF
  2. A Virtual Environment for Visual Cognition ExperimentsDownload as PDF
  3. Robots Learn to Reach for ObjectsDownload as PDF
  4. Synthesis of basal ganglia and cerebellar learning and multisensory attention in foraging and dynamic task switchingDownload as PDF
  5. Network interactions between auditory and visual spatial attention and working memoryDownload as PDF
  6. Learning of head direction from images as possible mechanism for the firing of head direction cells in ratDownload as PDF
  7. Developing thought-controlled computers for paralyzed individualsDownload as PDF
  8. Combining Visual Attention, Learning, and Spatial Navigation for Repetitive ForagingDownload as PDF
  9. Microfiber electrodes provide a stable brain-machine interfaceDownload as PDF
  10. Medial prefrontal neurons reflect context and recent error, not cognitive conflictDownload as PDF
  11. Distributed Information Improves Prediction of Speech SoundsDownload as PDF
  12. How can cortical neurons compute whether present experiences match or mismatch our expectations?Download as PDF
  13. The Secret Switchboard: Controlling Communication in the BrainDownload as PDF
  14. How does the amygdala influence our feelings and thoughts?Download as PDF