My personal information
Details of my PhD thesis and Mphil thesis
List of my publications including journal papers and conference proceedings
List of awards and services
Source codes of published works and more
Neural Coding and Brain Computing Unit
Okinawa Institute of Science and Technology Graduate University (OIST)
The institute where our unit belongs to
Continuous Attractor Neural Networks
Continuous Attractor Neural Networks (CANNs) are models aiming to explain and describe dynamics of neural systems able to support continuous attractors. I have jointly studied CANNs on its dynamics and implications, since 2006. Here I will give a brief introduction to those studies.
Analysis on Experimental Data
Data analysis plays an important role in scientific discovery. After joining Tomoki Fukai's Lab, I have engaged in data analysis in different experiments. Here I will briefly describe my progress so far.
Spiking-neuron Model for Slow Oscillations
Slow oscillations are believed to be important for memory consolidation. We have recently proposed intra-network conditions for its occurrence. Also, based on the modeling study, we found a relation between neural ensemble variability and oscillatory cycles, which may help us to clarify the role and function of the phenomenon.