Aviation Cerebral Experimental Sciences ACES utilizes multimodal brain imaging during complex flight simulation tasks providing for the ability to investigate perception, motor control, learning, attention, memory, cognition, multitasking, and situational awareness under engaging real-world conditions.

Research Objective

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Real-time Brain Imaging Using Motion Platform Flight Simulator

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Piloting Drone On Motion Platform

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Analysis Tools:


  • Neural Processes Underlying Continuous Representational Perceptual-Motor Transformation: Differences Between Remote Chase and First Person Perspective During Flight Simulation of the RedBull Air Race

  • Controlling Muliple Degrees of Freedom in Complex Tasks During Multimodal Brain Imaging

  • Investigating Expertise in Pilots versus Non-Pilots: How Action is Observed and Processed is Dependent on Experience

  • Spontaneous Brain Activity Predicts Future Landing Performance in Pilots

  • Decoding of Goal-Directed Attentional Activity in Visual Cortex Predicts Direction of Movement on a Complex Flight Simulation Task

  • BMI Related Experiments:
    Reconstructing the Control Inputs and Flight Path of the Airplane from Brain Activity of the Pilot Recorded by MEG in Real-Time

  • Adaptive Automation Using BMI:
    Recovery from Unpredicted Perturbation in Flight Attitude

  • Enhancing and Degrading Piloting Performance and Learning using TDCS

  • Investigating Neuroergonomics of Piloting a Drone Utilizing a 6 DOF Motion Platform (Receiving Accelerations from Drone), Full Field Dome Projection (From Camera on Drone), Multisensory Feedback (Audio and Video Spatial Displays), Force Feedback, and Feedback of Brain States Predicting Performance, Alertness, Fatigue etc...
  • Recording Brain Activity in Real-World Environments using Cognionics Dry-Wireless EEG:
    Recovery from Unpredicted Perturbation in Flight Attitude