Integrative Brain Science


Progress in various methods of research has opened the doors to revealing much about the integrative functions of the brain, such as emotion, consciousness, and the mind. The brain is an organ for information processing acquired in the course of evolution, and it is a highly sophisticated system made up of over 100 billion intertwined neurons. The study of the brain is not complete unless approached from both the biological and the computational aspects. People proficient in all sorts of disciplines are invited to collaborate in exploring this ultimate theme.

Research and Education

Various techniques employed in neuroscience, such as molecular biology, neuroanatomy, and imaging techniques are constantly unfolding and reporting new findings. It is a rapidly advancing field. In our laboratory, we address the brain as an information processing system, and apply neurophysiological, psychophysical and computatuional techniques to study the function of the intricate neural network that is behind human perception, planned action and thought. We focus, in particular, on the transformation of sensory to motor information. To fully understand the function of the brain, we have found that simultaneously application of two approaches most effective. One is the analytical approach based on the biological properties of the neurons by electrophysiology, and the other is an integrative high level systems approach by computational neuroscience. We will continue to pursue this theme in studying higher brain functions. Education and training of young prospective researchers are also our primary concern. We have a comprehensive series of lectures for graduate school (master course) students and neuroscience seminars for graduate school (doctor course) students.

r-018-1 1. Information processing in the brain for ocular following response.
r-018-2 2. Multidimensional visual search task and neuronal dynamics of bottom-up and top-down signals in visual area V4

Recent Publications

  1. Nohara S, Kawano K, Miura K. Difference in perceptual and oculomotor responses revealed by apparent motion stimuli presented with an interstimulus interval. J Neurophysiol. 2015 May;113(9):3219-28.
  2. Sugita Y, Araki F, Chaya T, Kawano K, Furukawa T, Miura K. Role of the mouse retinal photoreceptor ribbon synapse in visual motion processing for optokinetic responses. PLoS One. 2015 May 8;10(5):e0124132.
  3. Miura K, Hashimoto R, Fujimoto M, Yamamori H, Yasuda Y, Ohi K, Umeda-Yano S, Fukunaga M, Iwase M, Takeda M. An integrated eye movement score as a neurophysiological marker of schizophrenia. Schizophr Res. 2014 Dec;160(1-3):228-9.
  4. Miura K, Inaba N, Aoki Y, Kawano K. Difference in visual motion representation between cortical areas MT and MST during ocular following responses. J Neurosci. 2014 Feb 5;34(6):2160-8.
  5. Sugita Y, Miura K, Araki F, Furukawa T, Kawano K. Contributions of retinal direction-selective ganglion cells to optokinetic responses in mice. Eur J Neurosci. 2013 Sep;38(6):2823-31.

Integrative Brain Science

Assistant Professor : Takeshi Nishio
Assistant Professor : Kenichiro Miura
TEL : +81-75-753-4481
FAX : +81-75-753-4486
e-mail : kmiura [at]