Principal investigators

Daniel Callan


Main Lab Location:

CiNet (Main bldg.)

Other Affiliations:

・Guest Associate Professor, Osaka University
・Guest Associate Researcher, Institut Supérieur de      l'Aéronautique  de l'Espace (ISAE), Toulouse, France
・Visiting Scholar, Swartz Center for Computational     Neuroscience (SCCN), University of California,
    San Diego (UCSD)



Mailing Address:

3-5 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0289


dcallan at


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., Gateau, T., Durantin, G., Gonthier, N., Dehais, F. (2018). Disruption in neural phase synchrony is related to identification of inattentional deafness in real-world setting. Human Brain Mapping 2018;00:1-13. DOI: 10.1002/hbm.24026.

Durantin, G,, Dehais, F., Gonthier, N., Terzibas, C., Callan, D. (2017). Neural signature of inattentional deafness. Human Brain Mapping 38(11), 5440-5455. DOI: 10.1002/hbm.23735.

Callan, D., Falcone, B., Wada, A., Parasuraman, R. (2016). Simultaneous tDCS-fMRI identifies resting state networks correlated with visual search enhancement. Frontiers in Human Neuroscience 10(72), 1-12. DOI: 10.3389/fnhum.2016.00072.

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