Satoshi Hirose

Main Lab Location:

CiNet (Main bldg.)

Specific Research Topic:

fMRI Decoding Methodology, Human Motor Control





Mailing Address:

CiNet Bldg., 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan


·fMRI Decoding Method
-My current main research interest is in development of machine learning algorithm especially for fMRI decoding.
-Especially, I am currently focusing on feature selection problem; how to choose a small set of voxels that maximize.
-I also interested in the transfer learning; how to use the other subjects’ data to train the decoder.

·Human Motor Control
-My neuroscientific interest is in how human select and execute an appropriate action in the relationship with environement; objects.
-Especially, using decoding technique, I am trying to decode human motor intention before actual action execution.
-I am also interested in individual difference of how to use the brain during performing action.

Selected Publications:

Satoshi Hirose, Isao Nambu, Eiichi Naito, Iterative sparse logistic regression (iSLR): a new ensemble pattern classification method for fMRI decoding (under review)

Satoshi Hirose, Nobuhiro Hagura, Michikazu Matsumura, Eiichi Naito, Human rostral dorsal premotor cortex mediates graspability judgment of external objects by evaluating hand motor capability. Brain Research (2009)

Satoshi Hirose, Yutaka Oouchida, Michikazu Matsumura, Eiichi Naito, Viewing hand grip enhances observer's grip force in a body-part-specific manner. Neuroreport (2009)