Satoshi Nishida

Main Lab Location:

CiNet (Main bldg.)

Specific Research Topic:

Brain Decoding, Semantic Cognition, Visual Cognition, Consciousness, Artificial Intelligence

Other Affiliations:

Guest Associate Professor, Graduate School of Frontier Biosciences, Osaka University



Mailing Address:

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


s-nishida at


Humans are constantly flooded with complex, diverse, and dynamic visual information in their daily lives. To accomplish flexible visual cognition under such conditions, the human brain continuously and efficiently performs the identification, selection, and maintenance of visual information. My research aims to elucidate the neural mechanisms underlying the sophisticated information processing that makes natural visual cognition possible.

To achieve that, I take an experimental approach using humanfunctional imaging techniques. Particularly, my research focuses onthe quantitative modeling of neural processing and representation of natural visual cognition, which integrates a computational modeling approach into human experiments. Because the quantitative models for natural visual cognition can be used for engineering applications, I also hope that the findings of my research will contribute to the development of new innovative information technologies.

Selected Publications:

Nishida S, Nakano Y, Blanc, A, Maeda N, Kado M, Nishimoto S. Brain-mediated Transfer Learning of Convolutional Neural Networks. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, in press.

Miyahara K, Niikawa T, Hamada HT, Nishida S. Developing a Short-term Phenomenological Training Program: A Report of Methodological Lessons. New Ideas in Psychology 58:100780, 2020.

Nishida S, Nishimoto S. Decoding naturalistic experiences from human brain activity via distributed representations of words. NeuroImage 180(A):232-242, 2018.

Nishida S, Tanaka T, Ogawa T. Transition of target-location signaling in activity of macaque lateral intraparietal neurons during delayed-response visual search. Journal of Neurophysiology 112(6):1516–1527, 2014.

Nishida S, Tanaka T, Shibata T, Ikeda K, Aso T, Ogawa T. Discharge-rate persistence of baseline activity during fixation reflects maintenance of memory-period activity in the macaque posterior parietal cortex. Cerebral Cortex 24(6):1671–1685, 2014.