About

My personal information



Theses

Details of my PhD thesis and Mphil thesis



Publications

List of my publications including journal papers and conference proceedings



Awards

List of awards and services



Github Repository

Source codes of published works and more


Research Projects

Brief descriptions of my researche projects.

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.

Contact

È-m@i1

chichung dot fung at oist dot jp