A series of studies from string theory to neuropharmacology applies quantitative methods to physics and biology.



Visually displayed descriptions presented at international scientific meetings and invited talks at universities.


Collaborators and Advisees

Collaboration is a key component to successful applications of quantitative methods to the understanding of complex systems.

Fundamental theme of research – Extract dynamical principles from complex data

Develop appropriate mathematical methods, both analytical and computational, to study the dynamics of neural activity patterns, and to help understand the relationship between these dynamics and behavior.

Research Gate

Publication downloads


Career trajectory

Curriculum Vitae


Bringing complex data from neuroscience to practical applications

By extracting biological principles from a wide collection of empirical facts, testable prediction can be derived and novel applications in technology and medicine.

Learning Dynamics

Principles of learning derived from biological system where synaptic plasticity is dependent on the timing of spikes in pre- and postsynaptic neurons.

Subcortical Sensory Processing

The consequences of spike timing-dependent learning are generalized to develop a framework for novel approaches to analogue computing.

Systems Pharmacology

Potential impacts of theoretical neuroscience on the treatment of neurological and psychiatric disease.

Project Presentations

Posters and talks presented at international meeting

What’s New?

Recent research activities

Further information, publications, and posters


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