Person
Associate Professor
Department of Information Physics and Computing
Graduate School of Information Science and Technology
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656
Tel: 03-5841-7768
Fax:
E-mail：matani＠isp.ac
[web page]
Career
| 1991 | M.Eng, Graduate School of Scientific Engineering, Osaka University |
|---|---|
| 1991 | Researcher, Osaka Gas Co. Ltd. |
| 1995 | Assistant, Graduate School of Information Technology, Nara Institute of Science and Technology |
| 1998 | Ph. D, Graduate School of Scientific Engineering, Osaka University |
| 1998 | Assistant Professor, Graduate School of Engineering, the University of Tokyo |
| 1999 | Associate Professor, Graduate School of Frontier Sciences, the University of Tokyo |
| 2012 | Associate Professor, Graduate School of Information Science and Technology, the University of Tokyo |
Research Projects
We study cognitive neuroengineering, the engineering background is signal processing, instrumentation, information and communication, and electric and electronic circuit.
In electroencephalogram (EEG) recording associated with cognitive science experiments, the independent variables of the EEG are time, space (EEG channel), and epoch (or trial). In analyses of the EEG, a variety of temporal and spatial filters have been proposed so far and they play intrinsic and exclusive roles with respect to each other. If any epoch filter were created, it would provide a special role that both temporal and spatial filters are not able to play. For instance, we proposed epoch filters in order to analyze cross frequency coupling (2,3).
In the electrophysiological mechanism of neurons, the post-synaptic potentials generate dendritic currents, the dendritic currents flow out from neurons as a distributed current in the head after producing membrane potentials, and return to the original neurons. When the spatial sum of the dendritic current is measured as a voltage drop on the scalp, the measuemnt will be EEG. If an impedance is attached on the scalp, it modulates a portion of the dendritic currents and thereby would indirectly have an effect on the membrane potentials that originate the portion. For instance, we successfully shortened reaction time of a visual selective response task (1).
Publications
- 1) A. Matani, M. Nakayama, M. Watanabe, Y. Furuyama, A. Hotta, and S. Hoshino, Transcranial extracellular impedance control (tEIC) modulates behavioral performances, PLoS ONE, e0102834, 2014.
- 2) A. Matani, Y. Naruse, Y. Terazono, N. Fujimaki, and T. Murata, Phase-Interpolated Averaging for Analyzing Electroencephalography and Magnetoencephalography Epochs, IEEE Trans. on Biomedical Engineering, vol. 58, no. 1, pp. 71-80, 2011.
- 3) A. Matani, Y. Naruse, Y. Terazono, T. Iwasaki, N. Fujimaki, and T. Murata, Phase-Compensated Averaging for Analyzing Electroencephalography and Magnetoencephalography Epochs, IEEE Trans. on Biomedical Engineering, vol. 57, no. 5, pp. 1117-1123, 2010.