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- Prediction and verification of decision by sense
- We are interested in computational principles of brains from the viewpoint of decision by sense.
We use artificial neural networks as models of neuronal circuits.
In particular, by using state-of-the-art techniques of imaging and optical genetics for mouses,
we verify the prediction derived from the models by experiments.
- Computational Neuroscience
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We study the mechanism how brain circuits adapt to and learn from the environment.
By combining theoretical techniques from statistical physics and information theory and analysis of experimental data,
we understand how the information processing of brains changes by learning,
and find out the fundamental principle explaining the changes.
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