Principal investigators

Daniel Callan


Main Lab Location:

CiNet (Main bldg.)

Other Affiliations:

Guest Associate Professor, Osaka University; Visiting Lecturer, Kyoto University; Affilate Researcher, ATR Computational Neuroscience Laboratories



Mailing Address:

1-4 Yamadaoka, Suita City Osaka, 565-0871



The goal of my research is to investigate neural processes underlying complex multi-sensory perceptuomotor tasks utilizing very rich ecologically valid conditions. This research is instrumental in determining how the brain works in unconstrained real-world environments so that viable brain-based technology can be developed and effectively applied to enhance human abilities.

I use multiple brain imaging methods (fMRI, MRI, DTI, NIRS, MEG, EEG, dry-wireless EEG for use in real world situations) and stimulation techniques (tDCS, TMS) to determine the neural correlates of cognitive (e.g. attention, learning, motor intention, perception) and mental states (e.g. anxiety, fatigue, workload, pain). I use machine learning techniques to decode these cognitive and mental states so that brain-machine-interface technology can be employed in conjunction with neuroadaptive feedback and automation to improve learning and performance.

In realizing the goals of this research I have established Aviation Cerebral Experimental Sciences ACES that allows for complex perceptual motor, cognitive, and mental states to be investigated using robust flight simulation as well as during operation of real manned and unmanned aerial vehicles. The proposed research paradigm based on ecological brain-environment dynamics has far reaching implications for advancement in knowledge of brain processes involved with complex real world tasks as well as development of neuroergonomic technology used in a wide variety of applications including vehicle/machine operation, medical diagnosis, and rehabilitation.

Selected Publications:

Callan, D., Terzibas, C., Cassel, D., Callan, A., Kawato, M., Sato, M. (2013). Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert's actions in pilots and non-pilots on a complex glider landing task. NeuroImage 72, 55-68.

Callan, D., Gamez, M., Cassel, D., Terzibas, C., Callan, A., Kawato, M., Sato, M. (2012). Dynamic visuomotor transformation involved with remote flying of a plane utilizes the ‘Mirror Neuron’ system. PLoS ONE 7(4), 1-14.

Callan, D., Callan, A., Gamez, M., Sato, M., Kawato, M. (2010). Premotor cortex mediates perceptual performance. Neuroimage 51, 844-858.

Announcements / News:
  • Established Collaboration with George Mason University Department of Psychology (Raja Parasuraman) in field of Human Factors and Applied Cogniton
  • Established Collaboration with Institut Supérieur de l'Aéronautique et de l'Espace - Université de Toulouse (Frederic Dehias) in field of Human Computer/Machine Interaction
  • Established Collaboration with the Swartz Center for Computational Neuroscience at University of California San Diego (Scott Makeig, Tzyy-Ping Jung, John Iversen) in field of Computational Neuroscience